Abstract
Personal route choice behaviors in an urban road network is one of the most important research areas in the field of transportation. This paper aims to investigate the statistic relationship between personal route choice behaviors and macroscopic traffic flow distribution, which is innovative to the literature. The study firstly analyzes routing behaviors based on GPS trajectory data. Further, a statistic analysis for traffic flow distribution was applied. The comparison between route choice behavior and traffic flow distribution exhibits interesting phenomena, i.e., there exist a relationship between time-shortest paths and route choice probability, such a relationship can also be quantified as a linear function, which shows potential application for this research in urban traffic management and operation.
| Original language | English |
|---|---|
| Title of host publication | CICTP 2019 |
| Subtitle of host publication | Transportation in China - Connecting the World - Proceedings of the 19th COTA International Conference of Transportation Professionals |
| Editors | Lei Zhang, Jianming Ma, Pan Liu, Guangjun Zhang |
| Publisher | American Society of Civil Engineers (ASCE) |
| Pages | 5937-5947 |
| Number of pages | 11 |
| ISBN (Electronic) | 9780784482292 |
| DOIs | |
| State | Published - 2019 |
| Event | 19th COTA International Conference of Transportation Professionals: Transportation in China - Connecting the World, CICTP 2019 - Nanjing, China Duration: 6 Jul 2019 → 8 Jul 2019 |
Publication series
| Name | CICTP 2019: Transportation in China - Connecting the World - Proceedings of the 19th COTA International Conference of Transportation Professionals |
|---|
Conference
| Conference | 19th COTA International Conference of Transportation Professionals: Transportation in China - Connecting the World, CICTP 2019 |
|---|---|
| Country/Territory | China |
| City | Nanjing |
| Period | 6/07/19 → 8/07/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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