<  Back to the Polytechnique Montréal portal

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

Joshua Stipancic, Luis Miranda-Moreno, Aurélie Labbe, Nicolas Saunier

Article (2019)

Open Access document in PolyPublie
[img]
Preview
Open Access to the full text of this document
Accepted Version
Terms of Use: All rights reserved
Download (1MB)
Show abstract
Hide abstract

Abstract

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.

Uncontrolled Keywords

Congestion, visualization, smartphone, GPS, space–time patterns

Subjects: 1000 Civil engineering > 1000 Civil engineering
1000 Civil engineering > 1003 Transportation engineering
4100 Geographical information > 4103 Geographic information systems, global positioning systems
Department: Department of Civil, Geological and Mining Engineering
Funders: CRSNG/NSERC
PolyPublie URL: https://publications.polymtl.ca/2973/
Journal Title: Transportation Letters (vol. 11, no. 7)
Publisher: Taylor and Francis
DOI: 10.1080/19427867.2017.1374022
Official URL: https://doi.org/10.1080/19427867.2017.1374022
Date Deposited: 14 Jan 2019 11:36
Last Modified: 15 Nov 2022 22:25
Cite in APA 7: Stipancic, J., Miranda-Moreno, L., Labbe, A., & Saunier, N. (2019). Measuring and visualizing space–time congestion patterns in an urban road network using large-scale smartphone-collected GPS data. Transportation Letters, 11(7), 391-401. https://doi.org/10.1080/19427867.2017.1374022

Statistics

Total downloads

Downloads per month in the last year

Origin of downloads

Dimensions

Repository Staff Only

View Item View Item