NDLI: Measuring and visualizing space–time congestion patterns in an urban road network using large-scale smartphone-collected GPS data

Please wait, while we are loading the content...

Measuring and visualizing space–time congestion patterns in an urban road network using large-scale smartphone-collected GPS data

Content Provider	Scilit
Author	Stipancic, Joshua Miranda-Moreno, Luis Labbe, Aurélie Saunier, Nicolas
Copyright Year	2017
Description	Congestion is a dynamic phenomenon with elements of space and time, making it a promising application of probe vehicles. The purpose of this paper is to measure and visualize the magnitude and variability of congestion on the network scale using smartphone GPS travel data. The sample of data collected in Quebec City contained over 4000 drivers and 21,000 trips. The congestion index (CI) was calculated at the link level for each hour of the peak period and congestion was visualized at aggregate and disaggregate levels. Results showed that each peak period can be viewed as having an onset period and dissipation period lasting one hour. Congestion in the evening is greater and more dispersed than in the morning. Motorways, arterials, and collectors contribute most to peak period congestion, while residential links contribute little. Further analysis of the CI data is required for practical implementation in network planning or congestion remediation.
Related Links	https://publications.polymtl.ca/2973/1/2019_Stipancic_Measuring_visualizing_space-time_congestion_patterns.pdf
Ending Page	401
Page Count	11
Starting Page	391
ISSN	19427867
e-ISSN	19427875
DOI	10.1080/19427867.2017.1374022
Journal	Transportation Letters
Issue Number	7
Volume Number	11
Language	English
Publisher	Informa UK Limited
Publisher Date	2019-07-31
Access Restriction	Open
Subject Keyword	Journal: Transportation Letters Transportation Congestion Visualization Smartphone Gps Space–time Patterns
Content Type	Text
Resource Type	Article
Subject	Transportation

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Visualizing large scale vehicle traffic network data a survey of the state-of-the-art

Identifying spatiotemporal traffic patterns in large-scale urban road networks using a modified nonnegative matrix factorization algorithm

The Who and Where of Road Safety: Extracting Surrogate Indicators from Smartphone-Collected GPS Data in Urban Environments

Evaluating cyclist patterns using GPS data from smartphones

Spatio-Temporal Congestion Patterns in Urban Traffic Networks

Towards Congestion Detection in Transportation Networks Using GPS Data

Method for visualizing information from large-scale carrier networks

Traffic information deriving using gps probe vehicle data integrated with gis (2005).

Unraveling reaction-diffusion-like dynamics in urban congestion propagation: Insights from a large-scale road network

Measuring and visualizing space–time congestion patterns in an urban road network using large-scale smartphone-collected GPS data

Similar Documents

Visualizing large scale vehicle traffic network data a survey of the state-of-the-art

Identifying spatiotemporal traffic patterns in large-scale urban road networks using a modified nonnegative matrix factorization algorithm

The Who and Where of Road Safety: Extracting Surrogate Indicators from Smartphone-Collected GPS Data in Urban Environments

Evaluating cyclist patterns using GPS data from smartphones

Spatio-Temporal Congestion Patterns in Urban Traffic Networks

Towards Congestion Detection in Transportation Networks Using GPS Data

Method for visualizing information from large-scale carrier networks

Traffic information deriving using gps probe vehicle data integrated with gis (2005).

Unraveling reaction-diffusion-like dynamics in urban congestion propagation: Insights from a large-scale road network

Measuring and visualizing space–time congestion patterns in an urban road network using large-scale smartphone-collected GPS data