The document discusses a logarithmic equation for calculating parking rates based on an hourly rate and constant. It also mentions the linear equation y=mx+c. The document thanks the reader.
TUGASAN VISUALISASI PENJANAAN PERJALANAN (modul 6) eikarshdn
Ìý
1. The document calculates the generation of trips based on emission and withdrawal rates for 8 zones with different housing units and floor areas.
2. It shows the calculations of emission and withdrawal for each zone based on the given rates, and the total and average emissions and withdrawals across all zones.
3. A bar chart is presented to visualize the generation of trips through emissions and withdrawals for each zone.
Dokumen ini memberikan tugasan untuk mengumpulkan dan merangkum perjalanan penumpang dalam sistem transit ringan (LRT) 6 stesyen dengan menggunakan data pengeluaran dan penarikan per rumah serta luas lantai pejabat, kemudian mengirakannya semula supaya jumlah pengeluaran dan penarikan sama, lalu mengumpulkan 45% perjalanan antara stesyen yang menggunakan LRT, dan melukis visualisasi umpukan perjalanan terse
Dokumen ini berisi laporan pengamatan data perjalanan menggunakan aplikasi Waze dari kediaman di Kuala Lumpur ke Dewan Bandaraya Kuala Lumpur pada jam 7 pagi, 8 pagi, 9 pagi dan 10 pagi, serta jumlah anggota keluarga yang berangkat pagi hari.
LMCP1352 ASAS-ASAS SAINS DATA DALAM PENGANGKUTANNurulhanis123
Ìý
Dokumen ini memberikan ringkasan soalan-soalan dan penyelesaian mengenai analisis data pengangkutan antara enam bandar. Ia mengira pengeluaran, penarikan, matriks perjalanan asal-tujuan, umpukan perjalanan, kutipan tol, dan pengaliran lalu lintas puncak antara bandar-bandar. Dokumen ini juga menyediakan visualisasi umpukan perjalanan dan cadangan bilangan lorong lebuh raya yang diperlukan.
This document discusses traffic flow data for a highway connecting 6 cities (A to F). It calculates production and attraction rates for each city based on number of houses and floor area. It then calculates the traffic flows between cities for private vehicles and highway use. It determines the number of highway lanes needed based on the maximum hourly traffic flows between cities and the highway's carrying capacity. The key results are:
- Private vehicle traffic flows ranged from 7,632 vehicles per day between cities A and B to 17,932 between C and D.
- Maximum hourly flows during peak periods ranged from 678 vehicles between A and F to 1,905 total across all city pairs.
- Based on a highway carrying capacity of
This document contains data on train station ridership for a Light Rail Transit (LRT) system. It includes the following information:
1. Ridership data by station including passenger pickups and drop-offs.
2. Calculations of average daily pickups and drop-offs across all stations.
3. A matrix showing the estimated number of passengers traveling between each pair of stations, making up 45% of total daily ridership.
This document discusses traffic flow calculations between 6 cities (A to F) to determine toll collection amounts and highway capacity needs. It includes:
1) Calculating traffic generation and attraction for each city based on housing and floor area.
2) Estimating private vehicle trips as 65% of total trips, with an average 1.9 people per vehicle.
3) Adjusting generation and attraction values to make them equal for each city.
4) Calculating an origin-destination matrix showing estimated traffic between city pairs.
It then discusses further adjustments based on the percentage of trips using highways, toll calculations, peak hour traffic estimates, and determining the number of highway lanes needed between cities.
1. Menganalisis data tentang kebarangkalian pengguna kereta beralih ke pengangkutan awam berdasarkan kadar parkir satu jam menggunakan model fungsi logistik.
2. Menganalisis data tentang kebarangkalian pengguna kereta beralih ke bas berdasarkan tambang bas dan masa penjimatan menggunakan model fungsi logistik.
3. Memperoleh parameter model fungsi logistik melalui analisis regresi untuk kedua-dua soalan.
Dokumen ini membahas penggunaan model logistik untuk memprediksi kebarangkalian penggunaan kenderaan bermotor beralih ke pengangkutan awam berdasarkan kadar parkir dan tambang bas. Data soal selidik dianalisis menggunakan regresi logistik untuk menentukan parameter model dan meramalkan kebarangkalian peralihan pada kadar parkir tertentu.
This document contains attendance records for a student named Nurhusnina Syazwani binti Mohd Ariff for her Data Science in Transportation class. It lists the student's course code, semester, lecturer's name, student's matric number and name, place of residence, and shows she was present from 7 AM to 10 AM.
Module 12 tugasan visual umpukan perjalanan (a170308)a170308
Ìý
Dokumen tersebut memberikan informasi mengenai kadar pengeluaran dan penarikan untuk setiap 100 meter persegi lantai stesyen LRT, dengan purata pengeluaran dan penarikan sebanyak 188,305. Juga memberikan matriks asal-tujuan perjalanan antara enam stesyen LRT dengan peratusan 45% perjalanan.
LMCP1352 ASAS-ASAS SAINS DATA DALAM PENGANGKUTANNurulhanis123
Ìý
Dokumen ini memberikan ringkasan soalan-soalan dan penyelesaian mengenai analisis data pengangkutan antara enam bandar. Ia mengira pengeluaran, penarikan, matriks perjalanan asal-tujuan, umpukan perjalanan, kutipan tol, dan pengaliran lalu lintas puncak antara bandar-bandar. Dokumen ini juga menyediakan visualisasi umpukan perjalanan dan cadangan bilangan lorong lebuh raya yang diperlukan.
This document discusses traffic flow data for a highway connecting 6 cities (A to F). It calculates production and attraction rates for each city based on number of houses and floor area. It then calculates the traffic flows between cities for private vehicles and highway use. It determines the number of highway lanes needed based on the maximum hourly traffic flows between cities and the highway's carrying capacity. The key results are:
- Private vehicle traffic flows ranged from 7,632 vehicles per day between cities A and B to 17,932 between C and D.
- Maximum hourly flows during peak periods ranged from 678 vehicles between A and F to 1,905 total across all city pairs.
- Based on a highway carrying capacity of
This document contains data on train station ridership for a Light Rail Transit (LRT) system. It includes the following information:
1. Ridership data by station including passenger pickups and drop-offs.
2. Calculations of average daily pickups and drop-offs across all stations.
3. A matrix showing the estimated number of passengers traveling between each pair of stations, making up 45% of total daily ridership.
This document discusses traffic flow calculations between 6 cities (A to F) to determine toll collection amounts and highway capacity needs. It includes:
1) Calculating traffic generation and attraction for each city based on housing and floor area.
2) Estimating private vehicle trips as 65% of total trips, with an average 1.9 people per vehicle.
3) Adjusting generation and attraction values to make them equal for each city.
4) Calculating an origin-destination matrix showing estimated traffic between city pairs.
It then discusses further adjustments based on the percentage of trips using highways, toll calculations, peak hour traffic estimates, and determining the number of highway lanes needed between cities.
1. Menganalisis data tentang kebarangkalian pengguna kereta beralih ke pengangkutan awam berdasarkan kadar parkir satu jam menggunakan model fungsi logistik.
2. Menganalisis data tentang kebarangkalian pengguna kereta beralih ke bas berdasarkan tambang bas dan masa penjimatan menggunakan model fungsi logistik.
3. Memperoleh parameter model fungsi logistik melalui analisis regresi untuk kedua-dua soalan.
Dokumen ini membahas penggunaan model logistik untuk memprediksi kebarangkalian penggunaan kenderaan bermotor beralih ke pengangkutan awam berdasarkan kadar parkir dan tambang bas. Data soal selidik dianalisis menggunakan regresi logistik untuk menentukan parameter model dan meramalkan kebarangkalian peralihan pada kadar parkir tertentu.
This document contains attendance records for a student named Nurhusnina Syazwani binti Mohd Ariff for her Data Science in Transportation class. It lists the student's course code, semester, lecturer's name, student's matric number and name, place of residence, and shows she was present from 7 AM to 10 AM.
Module 12 tugasan visual umpukan perjalanan (a170308)a170308
Ìý
Dokumen tersebut memberikan informasi mengenai kadar pengeluaran dan penarikan untuk setiap 100 meter persegi lantai stesyen LRT, dengan purata pengeluaran dan penarikan sebanyak 188,305. Juga memberikan matriks asal-tujuan perjalanan antara enam stesyen LRT dengan peratusan 45% perjalanan.
Module 7 tugasan pengagihan perjalanan (a170308)a170308
Ìý
Dokumen ini menyediakan formula untuk menghitung pengeluaran dan penarikan dengan menggunakan kadar pengeluaran, kadar penarikan, jumlah unit rumah kediaman dan luas lantai pejabat. Ia juga memberikan purata pengeluaran dan penarikan serta matriks agihan perjalanan asalan-tujuan.
Dokumen ini menyajikan kadar pengeluaran dan penarikan air untuk unit rumah kediaman dan luas lantai pejabat, serta formula untuk menghitung pengeluaran, penarikan, dan purata pengeluaran dan penarikan berdasarkan data tersebut. Purata pengeluaran dan penarikan air yang dihitung adalah 351,720.
Jadual ini menyajikan data bilangan unit kediaman dan pengeluaran perjalanan dalam format Excel. Data tersebut dapat digunakan untuk tujuan analisis lebih lanjut.
Cadangan untuk memperbaharui pusat bandar Kajang dengan membangunkan tiga kawasan utama: (1) Pusat pelancongan dan rekreasi untuk meningkatkan aktiviti keluarga dan menikmati alam semula jadi, (2) Jaringan pengangkutan awam yang baik untuk memudahkan pergerakan penduduk, (3) Pusat beli-belah besar untuk meningkatkan ekonomi dan pekerjaan tempatan.
Useful environment methods in Odoo 18 - Odoo ºÝºÝߣsCeline George
Ìý
In this slide we’ll discuss on the useful environment methods in Odoo 18. In Odoo 18, environment methods play a crucial role in simplifying model interactions and enhancing data processing within the ORM framework.
Prelims of Kaun TALHA : a Travel, Architecture, Lifestyle, Heritage and Activism quiz, organized by Conquiztadors, the Quiz society of Sri Venkateswara College under their annual quizzing fest El Dorado 2025.
Database population in Odoo 18 - Odoo slidesCeline George
Ìý
In this slide, we’ll discuss the database population in Odoo 18. In Odoo, performance analysis of the source code is more important. Database population is one of the methods used to analyze the performance of our code.
How to Configure Restaurants in Odoo 17 Point of SaleCeline George
Ìý
Odoo, a versatile and integrated business management software, excels with its robust Point of Sale (POS) module. This guide delves into the intricacies of configuring restaurants in Odoo 17 POS, unlocking numerous possibilities for streamlined operations and enhanced customer experiences.
Reordering Rules in Odoo 17 Inventory - Odoo ºÝºÝߣsCeline George
Ìý
In Odoo 17, the Inventory module allows us to set up reordering rules to ensure that our stock levels are maintained, preventing stockouts. Let's explore how this feature works.
The Constitution, Government and Law making bodies .saanidhyapatel09
Ìý
This PowerPoint presentation provides an insightful overview of the Constitution, covering its key principles, features, and significance. It explains the fundamental rights, duties, structure of government, and the importance of constitutional law in governance. Ideal for students, educators, and anyone interested in understanding the foundation of a nation’s legal framework.
Computer Network Unit IV - Lecture Notes - Network LayerMurugan146644
Ìý
Title:
Lecture Notes - Unit IV - The Network Layer
Description:
Welcome to the comprehensive guide on Computer Network concepts, tailored for final year B.Sc. Computer Science students affiliated with Alagappa University. This document covers fundamental principles and advanced topics in Computer Network. PDF content is prepared from the text book Computer Network by Andrew S. Tenanbaum
Key Topics Covered:
Main Topic : The Network Layer
Sub-Topic : Network Layer Design Issues (Store and forward packet switching , service provided to the transport layer, implementation of connection less service, implementation of connection oriented service, Comparision of virtual circuit and datagram subnet), Routing algorithms (Shortest path routing, Flooding , Distance Vector routing algorithm, Link state routing algorithm , hierarchical routing algorithm, broadcast routing, multicast routing algorithm)
Other Link :
1.Introduction to computer network - /slideshow/lecture-notes-introduction-to-computer-network/274183454
2. Physical Layer - /slideshow/lecture-notes-unit-ii-the-physical-layer/274747125
3. Data Link Layer Part 1 : /slideshow/lecture-notes-unit-iii-the-datalink-layer/275288798
Target Audience:
Final year B.Sc. Computer Science students at Alagappa University seeking a solid foundation in Computer Network principles for academic.
About the Author:
Dr. S. Murugan is Associate Professor at Alagappa Government Arts College, Karaikudi. With 23 years of teaching experience in the field of Computer Science, Dr. S. Murugan has a passion for simplifying complex concepts in Computer Network
Disclaimer:
This document is intended for educational purposes only. The content presented here reflects the author’s understanding in the field of Computer Network
Blind Spots in AI and Formulation Science Knowledge Pyramid (Updated Perspect...Ajaz Hussain
Ìý
This presentation delves into the systemic blind spots within pharmaceutical science and regulatory systems, emphasizing the significance of "inactive ingredients" and their influence on therapeutic equivalence. These blind spots, indicative of normalized systemic failures, go beyond mere chance occurrences and are ingrained deeply enough to compromise decision-making processes and erode trust.
Historical instances like the 1938 FD&C Act and the Generic Drug Scandals underscore how crisis-triggered reforms often fail to address the fundamental issues, perpetuating inefficiencies and hazards.
The narrative advocates a shift from reactive crisis management to proactive, adaptable systems prioritizing continuous enhancement. Key hurdles involve challenging outdated assumptions regarding bioavailability, inadequately funded research ventures, and the impact of vague language in regulatory frameworks.
The rise of large language models (LLMs) presents promising solutions, albeit with accompanying risks necessitating thorough validation and seamless integration.
Tackling these blind spots demands a holistic approach, embracing adaptive learning and a steadfast commitment to self-improvement. By nurturing curiosity, refining regulatory terminology, and judiciously harnessing new technologies, the pharmaceutical sector can progress towards better public health service delivery and ensure the safety, efficacy, and real-world impact of drug products.
Computer Application in Business (commerce)Sudar Sudar
Ìý
The main objectives
1. To introduce the concept of computer and its various parts. 2. To explain the concept of data base management system and Management information system.
3. To provide insight about networking and basics of internet
Recall various terms of computer and its part
Understand the meaning of software, operating system, programming language and its features
Comparing Data Vs Information and its management system Understanding about various concepts of management information system
Explain about networking and elements based on internet
1. Recall the various concepts relating to computer and its various parts
2 Understand the meaning of software’s, operating system etc
3 Understanding the meaning and utility of database management system
4 Evaluate the various aspects of management information system
5 Generating more ideas regarding the use of internet for business purpose
How to Configure Flexible Working Schedule in Odoo 18 EmployeeCeline George
Ìý
In this slide, we’ll discuss on how to configure flexible working schedule in Odoo 18 Employee module. In Odoo 18, the Employee module offers powerful tools to configure and manage flexible working schedules tailored to your organization's needs.
Finals of Rass MELAI : a Music, Entertainment, Literature, Arts and Internet Culture Quiz organized by Conquiztadors, the Quiz society of Sri Venkateswara College under their annual quizzing fest El Dorado 2025.
How to Modify Existing Web Pages in Odoo 18Celine George
Ìý
In this slide, we’ll discuss on how to modify existing web pages in Odoo 18. Web pages in Odoo 18 can also gather user data through user-friendly forms, encourage interaction through engaging features.
QuickBooks Desktop to QuickBooks Online How to Make the MoveTechSoup
Ìý
If you use QuickBooks Desktop and are stressing about moving to QuickBooks Online, in this webinar, get your questions answered and learn tips and tricks to make the process easier for you.
Key Questions:
* When is the best time to make the shift to QuickBooks Online?
* Will my current version of QuickBooks Desktop stop working?
* I have a really old version of QuickBooks. What should I do?
* I run my payroll in QuickBooks Desktop now. How is that affected?
*Does it bring over all my historical data? Are there things that don't come over?
* What are the main differences between QuickBooks Desktop and QuickBooks Online?
* And more
