Developing A Novel Dynamic Bus Lane Control Strategy With Eco-Driving Under Partially Connected Vehicle Environment

被引:4
|
作者
Shan, Xiaonian [1 ]
Wan, Changxin [1 ]
Hao, Peng [2 ]
Wu, Guoyuan [2 ]
Barth, Matthew J. [2 ]
机构
[1] Hohai Univ, Coll Civil & Transportat Engn, Nanjing 210024, Peoples R China
[2] Univ Calif Riverside, Ctr Environm Res & Technol, Riverside, CA 92507 USA
基金
中国国家自然科学基金;
关键词
Vehicle dynamics; Connected vehicles; Automobiles; Trajectory planning; Roads; Petroleum; Delays; Dynamic bus lane control; connected and automated vehicle; trajectory planning; eco-driving; partially connected vehicle environment; DEDICATED BUS; INTERMITTENT; PRIORITY; STOPS;
D O I
10.1109/TITS.2023.3336895
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Exclusive bus lane strategy is widely adopted in many cities to improve bus operation efficiency and reliability. With the development of connected vehicle technologies, the dynamic bus lane (DBL) strategy was proposed, with allowing general vehicles to share use of the bus lane to improve traffic efficiency in general purpose lanes (GPLs). Previous studies have rarely considered the eco-driving strategy of connected and automated vehicles/buses (CAVs/CABs) in GPLs under the mixed traffic conditions, and how to ensure bus priority with DBL control. In this study, a novel DBL control strategy was developed under the partially connected vehicle environment. A trajectory planning method while considering the joint effects of bus stop and signal phase for CAB was adopted, an eco-driving strategy for CAVs in GPL was proposed using a trigonometry trajectory planning method. And a novel DBL control method was established by integrated trajectory planning for both the CAVs and CABs to ensure bus operation priority. Numerical experiments were conducted to evaluate performance of the proposed novel DBL control in terms of travel time and energy consumption of general vehicles at the different levels of CAV market penetration rates (MPRs). Results indicated that about 16%-42% energy savings can be achieved with MPR varying from 20% to 100%, and the travel time can be improved by about 4%-10%. Meanwhile, sensitivity analysis was conducted to quantify the impacts of key parameters, including vehicle target speeds, heterogeneous traffic flow, random arrival interval of cars, position of bus stop, traffic volume in GPLs and buffer length at the stop line of signalized intersections.
引用
收藏
页码:5919 / 5934
页数:16
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