@inproceedings{8675c5830bf04862823405e546232a52,
title = "INCORPORATING VEHICLE-BASED DATA INTO THE MANAGEMENT OF QUEUES AT SIGNALIZED INTERSECTIONS",
abstract = "We consider the use of vehicle-based positioning and speed information as input data to traffic signal control strategies. We show that these data can be utilized to effectively infer spatial information of arrivals at signalized intersections even under a low market penetration level. Consequently, the traffic signal control problem can be turned into a queue management problem in which green time allocation can be made based on the ratio of queues from different approaches. Experimental studies are conducted to assess the performance of the proposed strategy using data provided voluntarily by individual vehicles under different market penetration levels. Our results further indicate that for individual drivers, those who provide spatial information to the system tend to benefit more than those who do not in terms of the delay experienced.",
keywords = "Queue management, Spatial information of arrival, Traffic signal optimization, Vehicle-based traffic data",
author = "Liang Zhang and Lin, {Wei Hua}",
note = "Publisher Copyright: {\textcopyright} 2021 Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility. All Rights Reserved.; 25th International Conference of Hong Kong Society for Transportation Studies: Sustainable Mobility, HKSTS 2021 ; Conference date: 09-12-2021 Through 10-12-2021",
year = "2021",
language = "English (US)",
series = "Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility",
publisher = "Hong Kong Society for Transportation Studies Limited",
pages = "263--271",
editor = "Wong, {Ryan C.P.} and Jiangping Zhou and W.Y. Szeto",
booktitle = "Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021",
}