Impact of lane function layout on the performance of urban traffic system

Xue-Dong Hu, Mao-Bin Hu, Meng-Qin Cheng and Cong-Ling Shi
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Xue-Dong Hu: School of Engineering Science, University of Science and Technology of China, Hefei 230026, P. R. China
Mao-Bin Hu: School of Engineering Science, University of Science and Technology of China, Hefei 230026, P. R. China
Meng-Qin Cheng: School of Engineering Science, University of Science and Technology of China, Hefei 230026, P. R. China
Cong-Ling Shi: ��Beijing Key Lab of MFPTS, China Academy of Safety Science and Technology, Beijing 100012, P. R. China

International Journal of Modern Physics C (IJMPC), 2022, vol. 33, issue 08, 1-13

Abstract: In urban traffic systems, alleviating traffic congestion originated from left-turn/U-turn lanes at highly demanded intersections plays an important role in enhancing the traffic efficiency. For a typical intersection, the layout with double left-turn (DLT) lanes is a relatively common geometric feature. However, the effect of DLT scheme on the performance of the entire traffic system is not clear. This paper compares the performance of urban traffic system with different lane function schemes with extended cellular automaton (CA) model considering the car-following, lane-changing, intersection-traversing and route-choice behavior of vehicles. Using the flow-density relation, three macroscopic parameters (average trip completion rate, average traffic flow and average velocity) are examined to evaluate the system performance. With the wide application of DLT scheme, the vehicles can be distributed more evenly among the lanes. As a result, the traffic flow and the trip completion rate will be higher, especially at high density. Case studies of realistic Hefei city network and Sioux Falls networks are also carried out. The results show that the performance of traffic network will be better if more intersections adopt the DLT scheme.

Keywords: Lane function layout; urban traffic system; flow-density relation (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0129183122501005

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