TY - GEN
T1 - Path Choice Behavior Analysis Based on Vehicle Trajectory Data
AU - Zhang, Zuyao
AU - Tang, Li
AU - Wang, Yifeng
AU - Zhang, Xuejun
N1 - Publisher Copyright:
© 2020 ASCE.
PY - 2020
Y1 - 2020
N2 - Understanding path choice behavior is important for accurately modelling and estimating traffic distribution. However, large scaled path choice data is usually difficult to obtain. Most current studies use survey data in a relatively small sample. This paper analyzes path choice behavior based on trajectory data obtained by license plate recognition from cameras. Data from Mianyang on September 1, 2018 is used in this study. Raw data includes license plate, vehicle type, time, and camera serial number. Trajectory data is obtained after data processing. Results show a surprising path choice preference, especially during the peak period. Multiple paths are shown in trips between a same OD pair, which can possibly be explained by the fact that residents in a middle size city often have multiple activities connected during peak hours. This finding may provide a new angle for modelling traffic distribution in small and medium cities.
AB - Understanding path choice behavior is important for accurately modelling and estimating traffic distribution. However, large scaled path choice data is usually difficult to obtain. Most current studies use survey data in a relatively small sample. This paper analyzes path choice behavior based on trajectory data obtained by license plate recognition from cameras. Data from Mianyang on September 1, 2018 is used in this study. Raw data includes license plate, vehicle type, time, and camera serial number. Trajectory data is obtained after data processing. Results show a surprising path choice preference, especially during the peak period. Multiple paths are shown in trips between a same OD pair, which can possibly be explained by the fact that residents in a middle size city often have multiple activities connected during peak hours. This finding may provide a new angle for modelling traffic distribution in small and medium cities.
UR - https://www.scopus.com/pages/publications/85098271501
U2 - 10.1061/9780784483053.070
DO - 10.1061/9780784483053.070
M3 - 会议稿件
AN - SCOPUS:85098271501
T3 - CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals
SP - 829
EP - 840
BT - CICTP 2020
A2 - Wei, Heng
A2 - Wang, Haizhong
A2 - Zhang, Lei
A2 - An, Yisheng
A2 - Zhao, Xiangmo
PB - American Society of Civil Engineers (ASCE)
T2 - 20th COTA International Conference of Transportation Professionals: Transportation Evolution Impacting Future Mobility, CICTP 2020
Y2 - 14 August 2020 through 16 August 2020
ER -