TY - GEN
T1 - Exploring the Impact of Channelized Islands on the Driving Behavior of Right-Turning Vehicles at Intersections
AU - Tang, Renjing
AU - Ma, Mengping
AU - Lu, Guangquan
AU - Liu, Miaomiao
N1 - Publisher Copyright:
© ASCE.
PY - 2024
Y1 - 2024
N2 - As a key node where traffic conflicts are prone to occur on roads, it is of great significance to explore the influencing factors of vehicle driving behavior at intersections. However, the mechanism by which channelization islands affect the driving behavior of right-turning vehicles at intersections is not clear yet. In this study, we recruited 20 drivers and explored the impact of geometric factors on channelization islands on the average deviation and speed of right-turning vehicles through driving simulation experiments, including channelization island type, offset distance, end circular curve radius, length of two straight edges of channelization island, and the angle corresponding to the third curved side. The main influential factors for the average deviation and speed were selected through Spearman correlation test and stepwise regression method to establish the average deviation model of trajectory and the average velocity model of trajectories. The results could provide theoretical support for more accurate intersection simulation and right-turn channelization design.
AB - As a key node where traffic conflicts are prone to occur on roads, it is of great significance to explore the influencing factors of vehicle driving behavior at intersections. However, the mechanism by which channelization islands affect the driving behavior of right-turning vehicles at intersections is not clear yet. In this study, we recruited 20 drivers and explored the impact of geometric factors on channelization islands on the average deviation and speed of right-turning vehicles through driving simulation experiments, including channelization island type, offset distance, end circular curve radius, length of two straight edges of channelization island, and the angle corresponding to the third curved side. The main influential factors for the average deviation and speed were selected through Spearman correlation test and stepwise regression method to establish the average deviation model of trajectory and the average velocity model of trajectories. The results could provide theoretical support for more accurate intersection simulation and right-turn channelization design.
UR - https://www.scopus.com/pages/publications/85213995933
U2 - 10.1061/9780784485484.218
DO - 10.1061/9780784485484.218
M3 - 会议稿件
AN - SCOPUS:85213995933
T3 - CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals
SP - 2303
EP - 2313
BT - CICTP 2024
A2 - Ma, Jianming
A2 - Luo, Qin
A2 - Sun, Lijun
A2 - Li, Baicheng
A2 - Chen, Jingjing
A2 - Zhang, Guohui
PB - American Society of Civil Engineers (ASCE)
T2 - 24th COTA International Conference of Transportation Professionals: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation, CICTP 2024
Y2 - 23 July 2024 through 26 July 2024
ER -