�ݺ�ߣshows by User: sergehoogendoorn

�ݺ�ߣshows by User: sergehoogendoorn / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: sergehoogendoorn / Thu, 28 Sep 2023 11:00:57 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: sergehoogendoorn IEEE-ITSC 2023 Keynote - What Crowds can Teach Us /sergehoogendoorn/ieeeitsc-2023-keynote-what-crowds-can-teach-us ieee-itscwhatwecanlearnfrompedestriansvdef-230928110057-3b71e64c
The varying phenomena that characterize a pedestrian flow make it one of the most challenging traffic flow processes to manage and control. In the past three decades, we have started to unravel the science behind the crowd. This has led to some important insights that are not only needed to reproduce, predict, and manage pedestrian flow, but will also provide potential avenues to managing other phenomena. In this talk, we will provide a historic perspective on pedestrian flow theory and crowd management. We show some of the key phenomena that have been observed (in controlled experiments, in the field), and how these phenomena can be explained, used or prevented. We will also highlight some of the recent contributions in the field, including the role of AI, novel monitoring technology, and digital twins. We round up the talk showing how the finding can be generalized. We show how the game-theoretical modeling proposed for pedestrian flow models can form a basis for controlling connected autonomous vehicles. Using various examples, we show how self-organization, omnipresent in pedestrian flow, can inspire decentralized control approaches of other flow processes (e.g., autonomous vessels, drones). We show how approaches to reduce flow breakdown for pedestrian flows can be generalized for other flow processes.]]>
The varying phenomena that characterize a pedestrian flow make it one of the most challenging traffic flow processes to manage and control. In the past three decades, we have started to unravel the science behind the crowd. This has led to some important insights that are not only needed to reproduce, predict, and manage pedestrian flow, but will also provide potential avenues to managing other phenomena. In this talk, we will provide a historic perspective on pedestrian flow theory and crowd management. We show some of the key phenomena that have been observed (in controlled experiments, in the field), and how these phenomena can be explained, used or prevented. We will also highlight some of the recent contributions in the field, including the role of AI, novel monitoring technology, and digital twins. We round up the talk showing how the finding can be generalized. We show how the game-theoretical modeling proposed for pedestrian flow models can form a basis for controlling connected autonomous vehicles. Using various examples, we show how self-organization, omnipresent in pedestrian flow, can inspire decentralized control approaches of other flow processes (e.g., autonomous vessels, drones). We show how approaches to reduce flow breakdown for pedestrian flows can be generalized for other flow processes.]]> Thu, 28 Sep 2023 11:00:57 GMT /sergehoogendoorn/ieeeitsc-2023-keynote-what-crowds-can-teach-us sergehoogendoorn@slideshare.net(sergehoogendoorn) IEEE-ITSC 2023 Keynote - What Crowds can Teach Us sergehoogendoorn The varying phenomena that characterize a pedestrian flow make it one of the most challenging traffic flow processes to manage and control. In the past three decades, we have started to unravel the science behind the crowd. This has led to some important insights that are not only needed to reproduce, predict, and manage pedestrian flow, but will also provide potential avenues to managing other phenomena. In this talk, we will provide a historic perspective on pedestrian flow theory and crowd management. We show some of the key phenomena that have been observed (in controlled experiments, in the field), and how these phenomena can be explained, used or prevented. We will also highlight some of the recent contributions in the field, including the role of AI, novel monitoring technology, and digital twins. We round up the talk showing how the finding can be generalized. We show how the game-theoretical modeling proposed for pedestrian flow models can form a basis for controlling connected autonomous vehicles. Using various examples, we show how self-organization, omnipresent in pedestrian flow, can inspire decentralized control approaches of other flow processes (e.g., autonomous vessels, drones). We show how approaches to reduce flow breakdown for pedestrian flows can be generalized for other flow processes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ieee-itscwhatwecanlearnfrompedestriansvdef-230928110057-3b71e64c-thumbnail.jpg?width=120&height=120&fit=bounds" /> The varying phenomena that characterize a pedestrian flow make it one of the most challenging traffic flow processes to manage and control. In the past three decades, we have started to unravel the science behind the crowd. This has led to some important insights that are not only needed to reproduce, predict, and manage pedestrian flow, but will also provide potential avenues to managing other phenomena. In this talk, we will provide a historic perspective on pedestrian flow theory and crowd management. We show some of the key phenomena that have been observed (in controlled experiments, in the field), and how these phenomena can be explained, used or prevented. We will also highlight some of the recent contributions in the field, including the role of AI, novel monitoring technology, and digital twins. We round up the talk showing how the finding can be generalized. We show how the game-theoretical modeling proposed for pedestrian flow models can form a basis for controlling connected autonomous vehicles. Using various examples, we show how self-organization, omnipresent in pedestrian flow, can inspire decentralized control approaches of other flow processes (e.g., autonomous vessels, drones). We show how approaches to reduce flow breakdown for pedestrian flows can be generalized for other flow processes.

IEEE-ITSC 2023 Keynote - What Crowds can Teach Us from Serge Hoogendoorn

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0 MT-ITS keynote on active mode modelling /slideshow/mtits-keynote-on-active-mode-modelling/259130961 mt-itskeynoteactivemodes-230711062847-f7fd589d
In this keynote, I discuss 25 years of active mode research performed at Transport & Planning. We discuss the role of data, and the use of game-theory to model active mode traffic. We also show how complex models can be simplified, looking at multi-scale approaches. ]]>
In this keynote, I discuss 25 years of active mode research performed at Transport & Planning. We discuss the role of data, and the use of game-theory to model active mode traffic. We also show how complex models can be simplified, looking at multi-scale approaches. ]]> Tue, 11 Jul 2023 06:28:46 GMT /slideshow/mtits-keynote-on-active-mode-modelling/259130961 sergehoogendoorn@slideshare.net(sergehoogendoorn) MT-ITS keynote on active mode modelling sergehoogendoorn In this keynote, I discuss 25 years of active mode research performed at Transport & Planning. We discuss the role of data, and the use of game-theory to model active mode traffic. We also show how complex models can be simplified, looking at multi-scale approaches. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mt-itskeynoteactivemodes-230711062847-f7fd589d-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this keynote, I discuss 25 years of active mode research performed at Transport & Planning. We discuss the role of data, and the use of game-theory to model active mode traffic. We also show how complex models can be simplified, looking at multi-scale approaches.

MT-ITS keynote on active mode modelling from Serge Hoogendoorn

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0 Crowd management pitch /slideshow/crowd-management-pitch/256916985 maasterras-230328075157-22ad7965
Short talk (in Dutch) given during workshop on Maasterras]]>
Short talk (in Dutch) given during workshop on Maasterras]]> Tue, 28 Mar 2023 07:51:57 GMT /slideshow/crowd-management-pitch/256916985 sergehoogendoorn@slideshare.net(sergehoogendoorn) Crowd management pitch sergehoogendoorn Short talk (in Dutch) given during workshop on Maasterras <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maasterras-230328075157-22ad7965-thumbnail.jpg?width=120&height=120&fit=bounds" /> Short talk (in Dutch) given during workshop on Maasterras

Crowd management pitch from Serge Hoogendoorn

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0 4_serge_ITS for drones.pdf /slideshow/4sergeits-for-dronespdf/253497186 4sergeitsfordrones-221011162052-578bf860
Can we use methods from cooperative traffic and crowd modelling and management to manage drone traffic flows? I think we can! In this ppt, I explain how we can instill distributed traffic management in 3D... ]]>
Can we use methods from cooperative traffic and crowd modelling and management to manage drone traffic flows? I think we can! In this ppt, I explain how we can instill distributed traffic management in 3D... ]]> Tue, 11 Oct 2022 16:20:52 GMT /slideshow/4sergeits-for-dronespdf/253497186 sergehoogendoorn@slideshare.net(sergehoogendoorn) 4_serge_ITS for drones.pdf sergehoogendoorn Can we use methods from cooperative traffic and crowd modelling and management to manage drone traffic flows? I think we can! In this ppt, I explain how we can instill distributed traffic management in 3D... <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/4sergeitsfordrones-221011162052-578bf860-thumbnail.jpg?width=120&height=120&fit=bounds" /> Can we use methods from cooperative traffic and crowd modelling and management to manage drone traffic flows? I think we can! In this ppt, I explain how we can instill distributed traffic management in 3D...

4_serge_ITS for drones.pdf from Serge Hoogendoorn

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0 16 juni opening fietspad.pdf /slideshow/16-juni-opening-fietspadpdf/252000525 16juniopeningfietspad-220616160340-b0d31032
Opening intelligent bicycle road - 16th of June, 2022. In this talk (in Dutch), we have introduced the investments in monitoring at the TU Delft campus. ]]>
Opening intelligent bicycle road - 16th of June, 2022. In this talk (in Dutch), we have introduced the investments in monitoring at the TU Delft campus. ]]> Thu, 16 Jun 2022 16:03:40 GMT /slideshow/16-juni-opening-fietspadpdf/252000525 sergehoogendoorn@slideshare.net(sergehoogendoorn) 16 juni opening fietspad.pdf sergehoogendoorn Opening intelligent bicycle road - 16th of June, 2022. In this talk (in Dutch), we have introduced the investments in monitoring at the TU Delft campus. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/16juniopeningfietspad-220616160340-b0d31032-thumbnail.jpg?width=120&height=120&fit=bounds" /> Opening intelligent bicycle road - 16th of June, 2022. In this talk (in Dutch), we have introduced the investments in monitoring at the TU Delft campus.

16 juni opening fietspad.pdf from Serge Hoogendoorn

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0 Bataafsch genootschap lezing Hoogendoorn /slideshow/bataafsch-genootschap-lezing-hoogendoorn/251307143 bataafschgenootschaplezinghoogendoorn-220308104202
This presentation provides an overview of our work on pedestrian flows and management. I discuss basic pedestrian flow dynamics, technology to support safe flow operations during the pandemic, and novel deployment of these technologies after the pandemic. ]]>
This presentation provides an overview of our work on pedestrian flows and management. I discuss basic pedestrian flow dynamics, technology to support safe flow operations during the pandemic, and novel deployment of these technologies after the pandemic. ]]> Tue, 08 Mar 2022 10:42:02 GMT /slideshow/bataafsch-genootschap-lezing-hoogendoorn/251307143 sergehoogendoorn@slideshare.net(sergehoogendoorn) Bataafsch genootschap lezing Hoogendoorn sergehoogendoorn This presentation provides an overview of our work on pedestrian flows and management. I discuss basic pedestrian flow dynamics, technology to support safe flow operations during the pandemic, and novel deployment of these technologies after the pandemic. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bataafschgenootschaplezinghoogendoorn-220308104202-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation provides an overview of our work on pedestrian flows and management. I discuss basic pedestrian flow dynamics, technology to support safe flow operations during the pandemic, and novel deployment of these technologies after the pandemic.

Bataafsch genootschap lezing Hoogendoorn from Serge Hoogendoorn

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0 Short talk impact Covid-19 on supply and demand during the RA webinar /slideshow/short-talk-impact-covid19-on-supply-and-demand-during-the-ra-webinar/238506255 slidescovid-200916083657
We sketch a conceptual framework showing (lasting) impact on demand and supply. We illustrate complications at the supply side due to changing behaviour. We show how to include interventions and how to assess them. ]]>
We sketch a conceptual framework showing (lasting) impact on demand and supply. We illustrate complications at the supply side due to changing behaviour. We show how to include interventions and how to assess them. ]]> Wed, 16 Sep 2020 08:36:57 GMT /slideshow/short-talk-impact-covid19-on-supply-and-demand-during-the-ra-webinar/238506255 sergehoogendoorn@slideshare.net(sergehoogendoorn) Short talk impact Covid-19 on supply and demand during the RA webinar sergehoogendoorn We sketch a conceptual framework showing (lasting) impact on demand and supply. We illustrate complications at the supply side due to changing behaviour. We show how to include interventions and how to assess them. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slidescovid-200916083657-thumbnail.jpg?width=120&height=120&fit=bounds" /> We sketch a conceptual framework showing (lasting) impact on demand and supply. We illustrate complications at the supply side due to changing behaviour. We show how to include interventions and how to assess them.

Short talk impact Covid-19 on supply and demand during the RA webinar from Serge Hoogendoorn

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0 VU talk May 2020 /slideshow/vu-talk-may-2020/234694654 vutalkmay2020-200528184634
This talk presents a novel microscopic modelling framework for bicycle flow operations. The model does justice to the kinematics of cyclists. Contrary to pedestrians, cyclist are more restricted in their movement. The model approximates these restrictions by considering speed and movement direction and changes therein. Secondly, the model includes different strategies (cooperative, zero-acceleration, demon opponent) in its underlying game-theoretical framework. This allows us to model different attitudes towards risk. The (qualitative) insights gained by application of the model pertain to one-on-one interactions between cyclists and the impact of the strategy assumptions and parameter choices on those interactions as well as on the collective phenomena that occur in the cyclist flow and their sensitivity to parameters (reflecting the extent of the prediction horizon, the level of anisotropy, and the relative importance of keeping the desired path). With respect to the collective phenomena, we look at efficiency and self-organised patterns. We conclude that the model acts in a plausible manner. While we do not aim to show absolute validity, we see that the qualitative behaviour of one-on-one interactions is plausible. We also observe plausible collective patterns, including self-organisation. The latter is not trivial given the fundamental differences in bicycle and pedestrian flow. ]]>
This talk presents a novel microscopic modelling framework for bicycle flow operations. The model does justice to the kinematics of cyclists. Contrary to pedestrians, cyclist are more restricted in their movement. The model approximates these restrictions by considering speed and movement direction and changes therein. Secondly, the model includes different strategies (cooperative, zero-acceleration, demon opponent) in its underlying game-theoretical framework. This allows us to model different attitudes towards risk. The (qualitative) insights gained by application of the model pertain to one-on-one interactions between cyclists and the impact of the strategy assumptions and parameter choices on those interactions as well as on the collective phenomena that occur in the cyclist flow and their sensitivity to parameters (reflecting the extent of the prediction horizon, the level of anisotropy, and the relative importance of keeping the desired path). With respect to the collective phenomena, we look at efficiency and self-organised patterns. We conclude that the model acts in a plausible manner. While we do not aim to show absolute validity, we see that the qualitative behaviour of one-on-one interactions is plausible. We also observe plausible collective patterns, including self-organisation. The latter is not trivial given the fundamental differences in bicycle and pedestrian flow. ]]> Thu, 28 May 2020 18:46:33 GMT /slideshow/vu-talk-may-2020/234694654 sergehoogendoorn@slideshare.net(sergehoogendoorn) VU talk May 2020 sergehoogendoorn This talk presents a novel microscopic modelling framework for bicycle flow operations. The model does justice to the kinematics of cyclists. Contrary to pedestrians, cyclist are more restricted in their movement. The model approximates these restrictions by considering speed and movement direction and changes therein. Secondly, the model includes different strategies (cooperative, zero-acceleration, demon opponent) in its underlying game-theoretical framework. This allows us to model different attitudes towards risk. The (qualitative) insights gained by application of the model pertain to one-on-one interactions between cyclists and the impact of the strategy assumptions and parameter choices on those interactions as well as on the collective phenomena that occur in the cyclist flow and their sensitivity to parameters (reflecting the extent of the prediction horizon, the level of anisotropy, and the relative importance of keeping the desired path). With respect to the collective phenomena, we look at efficiency and self-organised patterns. We conclude that the model acts in a plausible manner. While we do not aim to show absolute validity, we see that the qualitative behaviour of one-on-one interactions is plausible. We also observe plausible collective patterns, including self-organisation. The latter is not trivial given the fundamental differences in bicycle and pedestrian flow. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/vutalkmay2020-200528184634-thumbnail.jpg?width=120&height=120&fit=bounds" /> This talk presents a novel microscopic modelling framework for bicycle flow operations. The model does justice to the kinematics of cyclists. Contrary to pedestrians, cyclist are more restricted in their movement. The model approximates these restrictions by considering speed and movement direction and changes therein. Secondly, the model includes different strategies (cooperative, zero-acceleration, demon opponent) in its underlying game-theoretical framework. This allows us to model different attitudes towards risk. The (qualitative) insights gained by application of the model pertain to one-on-one interactions between cyclists and the impact of the strategy assumptions and parameter choices on those interactions as well as on the collective phenomena that occur in the cyclist flow and their sensitivity to parameters (reflecting the extent of the prediction horizon, the level of anisotropy, and the relative importance of keeping the desired path). With respect to the collective phenomena, we look at efficiency and self-organised patterns. We conclude that the model acts in a plausible manner. While we do not aim to show absolute validity, we see that the qualitative behaviour of one-on-one interactions is plausible. We also observe plausible collective patterns, including self-organisation. The latter is not trivial given the fundamental differences in bicycle and pedestrian flow.

VU talk May 2020 from Serge Hoogendoorn

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0 Active modes and urban mobility: outcomes from the ALLEGRO project /slideshow/active-modes-and-urban-mobility-outcomes-from-the-allegro-project/158084110 istttercevenshortertalkhoogendoorn2019-190726131102
In this presentation, we present some examples of the main outcomes of the ALLEGRO project so far. The talks starts with showing how active mode traffic can play a major role given that cities are getting denser. ]]>
In this presentation, we present some examples of the main outcomes of the ALLEGRO project so far. The talks starts with showing how active mode traffic can play a major role given that cities are getting denser. ]]> Fri, 26 Jul 2019 13:11:02 GMT /slideshow/active-modes-and-urban-mobility-outcomes-from-the-allegro-project/158084110 sergehoogendoorn@slideshare.net(sergehoogendoorn) Active modes and urban mobility: outcomes from the ALLEGRO project sergehoogendoorn In this presentation, we present some examples of the main outcomes of the ALLEGRO project so far. The talks starts with showing how active mode traffic can play a major role given that cities are getting denser. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/istttercevenshortertalkhoogendoorn2019-190726131102-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this presentation, we present some examples of the main outcomes of the ALLEGRO project so far. The talks starts with showing how active mode traffic can play a major role given that cities are getting denser.

Active modes and urban mobility: outcomes from the ALLEGRO project from Serge Hoogendoorn

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0 Smart Urban Mobility - 5 years of AMS /slideshow/smart-urban-mobility-5-years-of-ams/151262243 powerpointsergerachel-190622083552
Short presentation about the role of AMS in solving Amsterdam mobility issues and setting the mobility agenda. Linking science and practise using Amsterdam as a Living Lab.]]>
Short presentation about the role of AMS in solving Amsterdam mobility issues and setting the mobility agenda. Linking science and practise using Amsterdam as a Living Lab.]]> Sat, 22 Jun 2019 08:35:52 GMT /slideshow/smart-urban-mobility-5-years-of-ams/151262243 sergehoogendoorn@slideshare.net(sergehoogendoorn) Smart Urban Mobility - 5 years of AMS sergehoogendoorn Short presentation about the role of AMS in solving Amsterdam mobility issues and setting the mobility agenda. Linking science and practise using Amsterdam as a Living Lab. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/powerpointsergerachel-190622083552-thumbnail.jpg?width=120&height=120&fit=bounds" /> Short presentation about the role of AMS in solving Amsterdam mobility issues and setting the mobility agenda. Linking science and practise using Amsterdam as a Living Lab.

Smart Urban Mobility - 5 years of AMS from Serge Hoogendoorn

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0 Masterclass stresstesten - verkeerskundige aspecten veerkracht /slideshow/masterclass-stresstesten-verkeerskundige-aspecten-veerkracht/123648753 rwsmasterclassstresstesten-181121184621
Presentatie gegeven tijdens de Masterclass Stresstesten RWS. Wat is veerkracht? Welke verstoringen kunnen optreden? Hoe ontwikkelt dit zich in de toekomst? Wat kunnen we doen om de veerkracht te vergroten? Deze en andere vragen komen aan bod in deze presentatie...]]>
Presentatie gegeven tijdens de Masterclass Stresstesten RWS. Wat is veerkracht? Welke verstoringen kunnen optreden? Hoe ontwikkelt dit zich in de toekomst? Wat kunnen we doen om de veerkracht te vergroten? Deze en andere vragen komen aan bod in deze presentatie...]]> Wed, 21 Nov 2018 18:46:21 GMT /slideshow/masterclass-stresstesten-verkeerskundige-aspecten-veerkracht/123648753 sergehoogendoorn@slideshare.net(sergehoogendoorn) Masterclass stresstesten - verkeerskundige aspecten veerkracht sergehoogendoorn Presentatie gegeven tijdens de Masterclass Stresstesten RWS. Wat is veerkracht? Welke verstoringen kunnen optreden? Hoe ontwikkelt dit zich in de toekomst? Wat kunnen we doen om de veerkracht te vergroten? Deze en andere vragen komen aan bod in deze presentatie... <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rwsmasterclassstresstesten-181121184621-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentatie gegeven tijdens de Masterclass Stresstesten RWS. Wat is veerkracht? Welke verstoringen kunnen optreden? Hoe ontwikkelt dit zich in de toekomst? Wat kunnen we doen om de veerkracht te vergroten? Deze en andere vragen komen aan bod in deze presentatie...

Masterclass stresstesten - verkeerskundige aspecten veerkracht from Serge Hoogendoorn

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0 The Physics of Active Modes /slideshow/the-physics-of-active-modes/122900191 lecturehoogendoorn-181113133355
Talk given at the kick-off of the ERC MAGnUM PhD week on the ALLEGRO program. The talk gives both an overview of ALLEGRO and then focusses more on active mode traffic operations. ]]>
Talk given at the kick-off of the ERC MAGnUM PhD week on the ALLEGRO program. The talk gives both an overview of ALLEGRO and then focusses more on active mode traffic operations. ]]> Tue, 13 Nov 2018 13:33:55 GMT /slideshow/the-physics-of-active-modes/122900191 sergehoogendoorn@slideshare.net(sergehoogendoorn) The Physics of Active Modes sergehoogendoorn Talk given at the kick-off of the ERC MAGnUM PhD week on the ALLEGRO program. The talk gives both an overview of ALLEGRO and then focusses more on active mode traffic operations. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lecturehoogendoorn-181113133355-thumbnail.jpg?width=120&height=120&fit=bounds" /> Talk given at the kick-off of the ERC MAGnUM PhD week on the ALLEGRO program. The talk gives both an overview of ALLEGRO and then focusses more on active mode traffic operations.

The Physics of Active Modes from Serge Hoogendoorn

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0 Engineering Urban Mobility (in Dutch) /slideshow/engineering-urban-mobility-in-dutch/118660055 engineeringurbanmobility-181008075845
Talk given about current PhD projects that are relevant for shaping urban mobility. In particular, focus has been on behavioural insights relating to sustainable transport modes (such as walking, cycling, and MaaS). ]]>
Talk given about current PhD projects that are relevant for shaping urban mobility. In particular, focus has been on behavioural insights relating to sustainable transport modes (such as walking, cycling, and MaaS). ]]> Mon, 08 Oct 2018 07:58:45 GMT /slideshow/engineering-urban-mobility-in-dutch/118660055 sergehoogendoorn@slideshare.net(sergehoogendoorn) Engineering Urban Mobility (in Dutch) sergehoogendoorn Talk given about current PhD projects that are relevant for shaping urban mobility. In particular, focus has been on behavioural insights relating to sustainable transport modes (such as walking, cycling, and MaaS). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/engineeringurbanmobility-181008075845-thumbnail.jpg?width=120&height=120&fit=bounds" /> Talk given about current PhD projects that are relevant for shaping urban mobility. In particular, focus has been on behavioural insights relating to sustainable transport modes (such as walking, cycling, and MaaS).

Engineering Urban Mobility (in Dutch) from Serge Hoogendoorn

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0 Ams we make the city resilient /slideshow/ams-we-make-the-city-resilient/102815328 amswemakethecityresilient-180622123937
Keynote given at AMS introducing various concepts in Transportation Resilience]]>
Keynote given at AMS introducing various concepts in Transportation Resilience]]> Fri, 22 Jun 2018 12:39:36 GMT /slideshow/ams-we-make-the-city-resilient/102815328 sergehoogendoorn@slideshare.net(sergehoogendoorn) Ams we make the city resilient sergehoogendoorn Keynote given at AMS introducing various concepts in Transportation Resilience <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/amswemakethecityresilient-180622123937-thumbnail.jpg?width=120&height=120&fit=bounds" /> Keynote given at AMS introducing various concepts in Transportation Resilience

Ams we make the city resilient from Serge Hoogendoorn

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0 Introduction to transport resilience /slideshow/introduction-to-transport-resilience/87318022 hoogendoornresilience-180206153704
The presentation deals with the Importance of resilience in transportation systems: factors that influence its relevance, the trade-off between robustness and efficiency, and the relation of resilience and evacuation management. ]]>
The presentation deals with the Importance of resilience in transportation systems: factors that influence its relevance, the trade-off between robustness and efficiency, and the relation of resilience and evacuation management. ]]> Tue, 06 Feb 2018 15:37:03 GMT /slideshow/introduction-to-transport-resilience/87318022 sergehoogendoorn@slideshare.net(sergehoogendoorn) Introduction to transport resilience sergehoogendoorn The presentation deals with the Importance of resilience in transportation systems: factors that influence its relevance, the trade-off between robustness and efficiency, and the relation of resilience and evacuation management. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hoogendoornresilience-180206153704-thumbnail.jpg?width=120&height=120&fit=bounds" /> The presentation deals with the Importance of resilience in transportation systems: factors that influence its relevance, the trade-off between robustness and efficiency, and the relation of resilience and evacuation management.

Introduction to transport resilience from Serge Hoogendoorn

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0 ITS for Crowds /slideshow/its-for-crowds/74849030 departmentseminar-170410220712
In this short presentation, we will provide some recent developments in the field of crowd monitoring, modelling and management. We will illustrate these by showing various projects that we are involved in, including the SmartStation project, and the different events organised in and around the city of Amsterdam (including the Europride, SAIL, etc.). In the talk, we will discuss the different components of the system and the methods and technology involved in these. We focus on advanced data collection techniques, the use of social media data, data fusion and the advanced macroscopic modelling required for this. Also, we will show examples of interventions that have been tested, showing how these systems are used in practise. ]]>
In this short presentation, we will provide some recent developments in the field of crowd monitoring, modelling and management. We will illustrate these by showing various projects that we are involved in, including the SmartStation project, and the different events organised in and around the city of Amsterdam (including the Europride, SAIL, etc.). In the talk, we will discuss the different components of the system and the methods and technology involved in these. We focus on advanced data collection techniques, the use of social media data, data fusion and the advanced macroscopic modelling required for this. Also, we will show examples of interventions that have been tested, showing how these systems are used in practise. ]]> Mon, 10 Apr 2017 22:07:12 GMT /slideshow/its-for-crowds/74849030 sergehoogendoorn@slideshare.net(sergehoogendoorn) ITS for Crowds sergehoogendoorn In this short presentation, we will provide some recent developments in the field of crowd monitoring, modelling and management. We will illustrate these by showing various projects that we are involved in, including the SmartStation project, and the different events organised in and around the city of Amsterdam (including the Europride, SAIL, etc.). In the talk, we will discuss the different components of the system and the methods and technology involved in these. We focus on advanced data collection techniques, the use of social media data, data fusion and the advanced macroscopic modelling required for this. Also, we will show examples of interventions that have been tested, showing how these systems are used in practise. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/departmentseminar-170410220712-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this short presentation, we will provide some recent developments in the field of crowd monitoring, modelling and management. We will illustrate these by showing various projects that we are involved in, including the SmartStation project, and the different events organised in and around the city of Amsterdam (including the Europride, SAIL, etc.). In the talk, we will discuss the different components of the system and the methods and technology involved in these. We focus on advanced data collection techniques, the use of social media data, data fusion and the advanced macroscopic modelling required for this. Also, we will show examples of interventions that have been tested, showing how these systems are used in practise.

ITS for Crowds from Serge Hoogendoorn

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0 Future of Traffic Management and ITS /slideshow/future-of-traffic-management-and-its-74848906/74848906 keynotemonash-170410220357
In many countries, cities are expanding in terms of size, number residents and visitors, etc. The resulting increase in concentration of people, with their mobility needs, causes major traffic and transportation problems in and around our cities. Next to the economic impacts due to delay and unreliability of travel time, concerns regarding safety and security, emissions and sustainability become more and more urgent. ITS (Intelligent Transportation Systems) hold the potential to reduce these issues. In the past decade, we have been more and more successful in making better use of the available infrastructure by using traditional ITS measures. As we will show in this talk, key to this success has been in achieving a profound understanding of what are the key phenomena that characterise network traffic flows, and designing solutions that capitalise on this. The playing field is however rapidly changing. For one, we see a transition from road-side to in-car technology in terms of sensing and actuation. This provides great opportunities, but making best use of these is not trivial and requires a paradigm shift in the way we think about managing traffic flows where collaboration between the old stakeholders (e.g. road authorities) and the new stakeholders (e.g. companies like Google, and TomTom) becomes increasingly important. This will be illustrated in this talk by some examples showing how we can put the transition to in-car traffic management to use, both in terms of making optimal use of the new data sources and the use of the car as an actuator. With respect to the latter, we will see that even for low penetration levels, which will occur in the transition phase towards a more highly automated traffic stream, considerable impacts can be achieved if we adequately consider the non-automated vehicles. Furthermore, it requires vehicles to be able to communicate and cooperate with each other. These two elements are two of the five steps that was identified in the transition towards a fully automated system. The final part of the talk will deal with the other steps that are deemed important to understand which of the scenarios in a urban self-driving future will unfold. These pertain to the interaction between man and machine, the need and willingness to invest in separate infrastructure in city, and whether automated car can co-exist with other (active) travel modes. With respect to the latter, we will also consider what ITS can mean for the other modes of travel. ]]>
In many countries, cities are expanding in terms of size, number residents and visitors, etc. The resulting increase in concentration of people, with their mobility needs, causes major traffic and transportation problems in and around our cities. Next to the economic impacts due to delay and unreliability of travel time, concerns regarding safety and security, emissions and sustainability become more and more urgent. ITS (Intelligent Transportation Systems) hold the potential to reduce these issues. In the past decade, we have been more and more successful in making better use of the available infrastructure by using traditional ITS measures. As we will show in this talk, key to this success has been in achieving a profound understanding of what are the key phenomena that characterise network traffic flows, and designing solutions that capitalise on this. The playing field is however rapidly changing. For one, we see a transition from road-side to in-car technology in terms of sensing and actuation. This provides great opportunities, but making best use of these is not trivial and requires a paradigm shift in the way we think about managing traffic flows where collaboration between the old stakeholders (e.g. road authorities) and the new stakeholders (e.g. companies like Google, and TomTom) becomes increasingly important. This will be illustrated in this talk by some examples showing how we can put the transition to in-car traffic management to use, both in terms of making optimal use of the new data sources and the use of the car as an actuator. With respect to the latter, we will see that even for low penetration levels, which will occur in the transition phase towards a more highly automated traffic stream, considerable impacts can be achieved if we adequately consider the non-automated vehicles. Furthermore, it requires vehicles to be able to communicate and cooperate with each other. These two elements are two of the five steps that was identified in the transition towards a fully automated system. The final part of the talk will deal with the other steps that are deemed important to understand which of the scenarios in a urban self-driving future will unfold. These pertain to the interaction between man and machine, the need and willingness to invest in separate infrastructure in city, and whether automated car can co-exist with other (active) travel modes. With respect to the latter, we will also consider what ITS can mean for the other modes of travel. ]]> Mon, 10 Apr 2017 22:03:57 GMT /slideshow/future-of-traffic-management-and-its-74848906/74848906 sergehoogendoorn@slideshare.net(sergehoogendoorn) Future of Traffic Management and ITS sergehoogendoorn In many countries, cities are expanding in terms of size, number residents and visitors, etc. The resulting increase in concentration of people, with their mobility needs, causes major traffic and transportation problems in and around our cities. Next to the economic impacts due to delay and unreliability of travel time, concerns regarding safety and security, emissions and sustainability become more and more urgent. ITS (Intelligent Transportation Systems) hold the potential to reduce these issues. In the past decade, we have been more and more successful in making better use of the available infrastructure by using traditional ITS measures. As we will show in this talk, key to this success has been in achieving a profound understanding of what are the key phenomena that characterise network traffic flows, and designing solutions that capitalise on this. The playing field is however rapidly changing. For one, we see a transition from road-side to in-car technology in terms of sensing and actuation. This provides great opportunities, but making best use of these is not trivial and requires a paradigm shift in the way we think about managing traffic flows where collaboration between the old stakeholders (e.g. road authorities) and the new stakeholders (e.g. companies like Google, and TomTom) becomes increasingly important. This will be illustrated in this talk by some examples showing how we can put the transition to in-car traffic management to use, both in terms of making optimal use of the new data sources and the use of the car as an actuator. With respect to the latter, we will see that even for low penetration levels, which will occur in the transition phase towards a more highly automated traffic stream, considerable impacts can be achieved if we adequately consider the non-automated vehicles. Furthermore, it requires vehicles to be able to communicate and cooperate with each other. These two elements are two of the five steps that was identified in the transition towards a fully automated system. The final part of the talk will deal with the other steps that are deemed important to understand which of the scenarios in a urban self-driving future will unfold. These pertain to the interaction between man and machine, the need and willingness to invest in separate infrastructure in city, and whether automated car can co-exist with other (active) travel modes. With respect to the latter, we will also consider what ITS can mean for the other modes of travel. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/keynotemonash-170410220357-thumbnail.jpg?width=120&height=120&fit=bounds" /> In many countries, cities are expanding in terms of size, number residents and visitors, etc. The resulting increase in concentration of people, with their mobility needs, causes major traffic and transportation problems in and around our cities. Next to the economic impacts due to delay and unreliability of travel time, concerns regarding safety and security, emissions and sustainability become more and more urgent. ITS (Intelligent Transportation Systems) hold the potential to reduce these issues. In the past decade, we have been more and more successful in making better use of the available infrastructure by using traditional ITS measures. As we will show in this talk, key to this success has been in achieving a profound understanding of what are the key phenomena that characterise network traffic flows, and designing solutions that capitalise on this. The playing field is however rapidly changing. For one, we see a transition from road-side to in-car technology in terms of sensing and actuation. This provides great opportunities, but making best use of these is not trivial and requires a paradigm shift in the way we think about managing traffic flows where collaboration between the old stakeholders (e.g. road authorities) and the new stakeholders (e.g. companies like Google, and TomTom) becomes increasingly important. This will be illustrated in this talk by some examples showing how we can put the transition to in-car traffic management to use, both in terms of making optimal use of the new data sources and the use of the car as an actuator. With respect to the latter, we will see that even for low penetration levels, which will occur in the transition phase towards a more highly automated traffic stream, considerable impacts can be achieved if we adequately consider the non-automated vehicles. Furthermore, it requires vehicles to be able to communicate and cooperate with each other. These two elements are two of the five steps that was identified in the transition towards a fully automated system. The final part of the talk will deal with the other steps that are deemed important to understand which of the scenarios in a urban self-driving future will unfold. These pertain to the interaction between man and machine, the need and willingness to invest in separate infrastructure in city, and whether automated car can co-exist with other (active) travel modes. With respect to the latter, we will also consider what ITS can mean for the other modes of travel.

Future of Traffic Management and ITS from Serge Hoogendoorn

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0 Differential game theory for Traffic Flow Modelling /slideshow/differential-game-theory-for-traffic-flow-modelling/73109037 gametheorylecture-170313205223
Lecture given at the INdAM symposium in Rome, 2017. The lecture shows how you can use differential games to model traffic flows, focussing on pedestrian simulation. ]]>
Lecture given at the INdAM symposium in Rome, 2017. The lecture shows how you can use differential games to model traffic flows, focussing on pedestrian simulation. ]]> Mon, 13 Mar 2017 20:52:23 GMT /slideshow/differential-game-theory-for-traffic-flow-modelling/73109037 sergehoogendoorn@slideshare.net(sergehoogendoorn) Differential game theory for Traffic Flow Modelling sergehoogendoorn Lecture given at the INdAM symposium in Rome, 2017. The lecture shows how you can use differential games to model traffic flows, focussing on pedestrian simulation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gametheorylecture-170313205223-thumbnail.jpg?width=120&height=120&fit=bounds" /> Lecture given at the INdAM symposium in Rome, 2017. The lecture shows how you can use differential games to model traffic flows, focussing on pedestrian simulation.

Differential game theory for Traffic Flow Modelling from Serge Hoogendoorn

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0 Aanzet onderzoeksprogramma Wetenschappelijke Raad Veilig Ontruimen /slideshow/aanzet-onderzoeksprogramma-wetenschappelijke-raad-veilig-ontruimen/70256915 aanzetonderzoeksprogramma-161219063905
Korte presentatie met de verschillende onderzoeksthema's die relevant zijn binnen het onderzoeksdomein Veilig Ontruimen. De presentatie heeft tot doel ideeën te genereren voor een onderzoeksagenda. ]]>
Korte presentatie met de verschillende onderzoeksthema's die relevant zijn binnen het onderzoeksdomein Veilig Ontruimen. De presentatie heeft tot doel ideeën te genereren voor een onderzoeksagenda. ]]> Mon, 19 Dec 2016 06:39:05 GMT /slideshow/aanzet-onderzoeksprogramma-wetenschappelijke-raad-veilig-ontruimen/70256915 sergehoogendoorn@slideshare.net(sergehoogendoorn) Aanzet onderzoeksprogramma Wetenschappelijke Raad Veilig Ontruimen sergehoogendoorn Korte presentatie met de verschillende onderzoeksthema's die relevant zijn binnen het onderzoeksdomein Veilig Ontruimen. De presentatie heeft tot doel ideeën te genereren voor een onderzoeksagenda. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aanzetonderzoeksprogramma-161219063905-thumbnail.jpg?width=120&height=120&fit=bounds" /> Korte presentatie met de verschillende onderzoeksthema's die relevant zijn binnen het onderzoeksdomein Veilig Ontruimen. De presentatie heeft tot doel ideeën te genereren voor een onderzoeksagenda.

Aanzet onderzoeksprogramma Wetenschappelijke Raad Veilig Ontruimen from Serge Hoogendoorn

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0 Floating Car Data and Traffic Management /slideshow/floating-car-data-and-traffic-management/70255692 ndwkeynotehoogendoorndec2016v2-161219053546
Keynote gegeven tijdens het NDW symposium over mogelijkheden van nieuwe databronnen. We kijken met name naar toepassingen binnen het netwerkbroed dynamisch verkeersmanagement.]]>
Keynote gegeven tijdens het NDW symposium over mogelijkheden van nieuwe databronnen. We kijken met name naar toepassingen binnen het netwerkbroed dynamisch verkeersmanagement.]]> Mon, 19 Dec 2016 05:35:46 GMT /slideshow/floating-car-data-and-traffic-management/70255692 sergehoogendoorn@slideshare.net(sergehoogendoorn) Floating Car Data and Traffic Management sergehoogendoorn Keynote gegeven tijdens het NDW symposium over mogelijkheden van nieuwe databronnen. We kijken met name naar toepassingen binnen het netwerkbroed dynamisch verkeersmanagement. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ndwkeynotehoogendoorndec2016v2-161219053546-thumbnail.jpg?width=120&height=120&fit=bounds" /> Keynote gegeven tijdens het NDW symposium over mogelijkheden van nieuwe databronnen. We kijken met name naar toepassingen binnen het netwerkbroed dynamisch verkeersmanagement.

Floating Car Data and Traffic Management from Serge Hoogendoorn

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0 https://cdn.slidesharecdn.com/profile-photo-sergehoogendoorn-48x48.jpg?cb=1697528286 In the past five years, my research has involved theory, modelling, and simulation of traffic and transportation networks. I focussed on innovative approaches to collect microscopic traffic data and the use of these data to underpin the models and theories that I have developed, using new techniques for model identification. In the VIDI project ‘Tracing Congestion Dynamics’, microscopic traffic data are collected from an airborne platform. These data have resulted in a new generic theory of driving behavior, with as key elements driver adaptation, inter‐driver heterogeneity, and multi‐vehicle anticipation. The data collection method has been applied to a multitude of situations e.g. adver... http://www.tudelft.nl https://cdn.slidesharecdn.com/ss_thumbnails/ieee-itscwhatwecanlearnfrompedestriansvdef-230928110057-3b71e64c-thumbnail.jpg?width=320&height=320&fit=bounds sergehoogendoorn/ieeeitsc-2023-keynote-what-crowds-can-teach-us IEEE-ITSC 2023 Keynote... https://cdn.slidesharecdn.com/ss_thumbnails/mt-itskeynoteactivemodes-230711062847-f7fd589d-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/mtits-keynote-on-active-mode-modelling/259130961 MT-ITS keynote on acti... https://cdn.slidesharecdn.com/ss_thumbnails/maasterras-230328075157-22ad7965-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/crowd-management-pitch/256916985 Crowd management pitch