Traffic Light Scheduling for Pedestrian-Vehicle Mixed-Flow Networks

被引:34
|
作者
Zhang, Yi [1 ]
Gao, Kaizhou [1 ]
Zhang, Yicheng [1 ]
Su, Rong [1 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
关键词
Urban traffic signal scheduling; macroscopic pedestrian flow model; macroscopic vehicle flow model; mixed logical constraints; mixed integer linear programming; harmony search algorithm; GENETIC ALGORITHM APPROACH; CELL TRANSMISSION MODEL; SIGNAL CONTROL; PHASE PATTERNS; OPTIMIZATION;
D O I
10.1109/TITS.2018.2852646
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents a macroscopic model for pedestrian-vehicle mixed-flow network and a traffic signal scheduling strategy for both pedestrians and vehicles. We first propose a novel mathematical model of pedestrians crossing a junction. By combining a link-based vehicle network model, a traffic light scheduling problem is formulated with the aim to strike a good balance between pedestrians' needs and vehicle drivers' needs. The problem is first converted into a mixed-integer linear programming (MILP) problem via a novel transformation procedure, which is solvable by several existing solvers, e.g., GUROBI. Then a meta-heuristic method called discrete harmony search (DHS) algorithm is also adopted to reduce the computational complexity in MILP. Numerical simulation results are provided to illustrate the effectiveness of our real-time traffic light scheduling strategy for pedestrians and vehicles, and the potential impact of the pedestrian movement to the vehicle traffic flows.
引用
收藏
页码:1468 / 1483
页数:16
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