際際滷

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Signed Sealed Delivered with
Postnord
Mats Malmberg, Data Analyst
What you can do with telematics
if you have a large set of cars
 Planning of infrastructure
 Identify traffic risks
 Traffic information
 Map information
 Measuring of radio Coverage
Can we find one M2M solution that can
provide several parallell revenue
streams?
Problem
Lets try and see what happens!
Solution
Results
Low sample rate
introduces a large
uncertainty
Office 1 Office 2 Office 3
Total number of stops 1076 680 718
Total stop time 40.7 22.4 47.6
Total time 136 119 129.2
Average stop duration 136.1 118.6 2387.1
longest stop 5595 2327 8035
Shortest stop considered 30 30 31
Percentage idle 29.9% 18.8% 36.8%
Thank you!
Mats Malmberg, Data Analyst

More Related Content

Internet of Everything - For Real 2014

  • 1. Signed Sealed Delivered with Postnord Mats Malmberg, Data Analyst
  • 2. What you can do with telematics if you have a large set of cars Planning of infrastructure Identify traffic risks Traffic information Map information Measuring of radio Coverage
  • 3. Can we find one M2M solution that can provide several parallell revenue streams? Problem
  • 4. Lets try and see what happens! Solution
  • 6. Low sample rate introduces a large uncertainty
  • 7. Office 1 Office 2 Office 3 Total number of stops 1076 680 718 Total stop time 40.7 22.4 47.6 Total time 136 119 129.2 Average stop duration 136.1 118.6 2387.1 longest stop 5595 2327 8035 Shortest stop considered 30 30 31 Percentage idle 29.9% 18.8% 36.8%

Editor's Notes

  1. Presentation, Springworks: we connect vehicles, which is awesome as there are infinitely many possibilities for faschinating innovations. My role is to analyze the obtained data, and to create models on how to interpret data in new ways in order to provide new services.
  2. We have a luxury problem: there are so many interesting things that we can and want to do, but theres only so much time
  3. So we thought Is there a single M2M solution that can provide revenue in several different business cases? It might sound like a tedious job to formulate the technical specifications for such a system in order to conform with all possible scenarios, but our solution is quite simple. Can we find one solution for everything? Account for everything -> Tedious technical specification Our solution simple -> We just went for it
  4. We just went on ahead and tried. Hence we started a vinnova research project where postnord, telia, kth logistics and we our selves cooperate to investigate this matter. Springworks develop infrastructure and analyze data Telia provide connectivity Postnord provide car fleet Kth traffic logitics analyze data
  5. The analytical phase of the project has not been running very long, only a few weeks. But already we can see some very promising results, and this is what Id like to focus on. First of all, Kth used to develop models on traffic behaviour based on data that they receive from a large taxi company. The data is irregular and samples are obtained approximately every minute. This introduces a large uncertainty to the results. ----- Meeting Notes (6/16/14 08:34) ----- Installed TEM (show tem) Early (few weeks), promising results
  6. Before KTH traffic dep. Received data with 1 minute -> large uncertainty Today -> no guessing, smaller uncertainty in input Postnord delivers mail, carfleet necessity, carfleet = cost Current plattform -> monitor usage, create reports
  7. We can create reports on for instance average velocity, number of stops, idle time, distance and a lot more. Furthermore we are currently discussing to develop a pilot project with an ecodrive solution where the driver receives direct feedback on the driving behaviour in order to save fuel. Typically the fuel consumption is decreased by roughly 10% by such feedback systems. This would yield approximately 100milj sek in saved fuel costs, which a figure from postnord themselves. ----- Meeting Notes (6/16/14 08:34) ----- Data from approximately three weeks We see -> aproximately 30% idle Compare office 1,3 by total time vs number of stops. fleet usage - vel, #stop, idletime, dist etc. pinpoint areas of improvement discussing ecodrive pilot direct feedback fuel consumption roughly 10% -> 100milj (postnord) ----- Meeting Notes (6/16/14 10:01) ----- peka noggrannare p奪 data po辰ngtera att detta 辰r ny kunskap f旦r posten
  8. Det h辰r 辰r n奪gra av mina slutsatser. Det 辰r inte dom I sig som 辰r det mest sp辰nnande, utan att se vart dom tar v辰gen. Presentation, Springworks: we connect vehicles, which is awesome as there are infinitely many possibilities for faschinating innovations. My role is to analyze the obtained data, and to create models on how to interpret data in new ways in order to provide new services. We have a luxury problem: there are so many interesting things that we can and want to do, but theres only so much time