TY - GEN
T1 - Signal Offset Optimization Using Vehicle Trajectory Data with Different Sampling Frequencies
AU - Meng, Fangfang
AU - Chen, Peng
N1 - Publisher Copyright:
© ASCE.
PY - 2020
Y1 - 2020
N2 - With the development of information technology and connected vehicles technology, vehicle trajectory crowdsourcing is becoming more prevalent. Detailed vehicle trajectory data provides a new means of signal offset optimization on urban arterials. One critical factor is the sampling frequency (SF) of probe vehicles, which is can significantly impact communication cost and signal offset optimization. Thus, in this study, these issues were examined using field DiDi vehicle trajectory data collected in one arterial of Shenzhen, China. Given an average penetration rate of DiDi vehicles of 7.4%, four SFs, i.e., 1/3, 1/6, 1/9, and 1/12 Hz are set. Signal offset was optimized by examining the average vehicle delay at each intersection. It was found that the performance of offset optimization is enhanced with increased SF but becomes less insensitive when SF is below 1/6 Hz.
AB - With the development of information technology and connected vehicles technology, vehicle trajectory crowdsourcing is becoming more prevalent. Detailed vehicle trajectory data provides a new means of signal offset optimization on urban arterials. One critical factor is the sampling frequency (SF) of probe vehicles, which is can significantly impact communication cost and signal offset optimization. Thus, in this study, these issues were examined using field DiDi vehicle trajectory data collected in one arterial of Shenzhen, China. Given an average penetration rate of DiDi vehicles of 7.4%, four SFs, i.e., 1/3, 1/6, 1/9, and 1/12 Hz are set. Signal offset was optimized by examining the average vehicle delay at each intersection. It was found that the performance of offset optimization is enhanced with increased SF but becomes less insensitive when SF is below 1/6 Hz.
UR - https://www.scopus.com/pages/publications/85107176692
U2 - 10.1061/9780784482933.002
DO - 10.1061/9780784482933.002
M3 - 会议稿件
AN - SCOPUS:85107176692
T3 - CICTP 2020: Advanced Transportation Technologies and Development-Enhancing Connections - Proceedings of the 20th COTA International Conference of Transportation Professionals
SP - 13
EP - 24
BT - CICTP 2020
A2 - Wang, Haizhong
A2 - Wei, Heng
A2 - Zhang, Lei
A2 - An, Yisheng
PB - American Society of Civil Engineers (ASCE)
T2 - 20th COTA International Conference of Transportation Professionals: Advanced Transportation Technologies and Development-Enhancing Connections, CICTP 2020
Y2 - 14 August 2020 through 16 August 2020
ER -