Multi-objective optimal control formulations for bus service reliability with traffic signals
被引:61
作者:
Chow, Andy H. F.
论文数: 0引用数: 0
h-index: 0
机构:
UCL, Ctr Transport Studies, London WC1E 6BT, EnglandUCL, Ctr Transport Studies, London WC1E 6BT, England
Chow, Andy H. F.
[1
]
Li, Shuai
论文数: 0引用数: 0
h-index: 0
机构:
UCL, Ctr Transport Studies, London WC1E 6BT, EnglandUCL, Ctr Transport Studies, London WC1E 6BT, England
Li, Shuai
[1
]
Zhong, Renxin
论文数: 0引用数: 0
h-index: 0
机构:
Sun Yat Sen Univ, Res Ctr Intelligent Transportat Syst, Guangzhou 510006, Guangdong, Peoples R ChinaUCL, Ctr Transport Studies, London WC1E 6BT, England
Zhong, Renxin
[2
]
机构:
[1] UCL, Ctr Transport Studies, London WC1E 6BT, England
[2] Sun Yat Sen Univ, Res Ctr Intelligent Transportat Syst, Guangzhou 510006, Guangdong, Peoples R China
Bus service reliability;
Kinematic wave model;
Hamilton Jacobi formulation;
Multi-objective optimal control;
Transit signal priority;
CELL TRANSMISSION MODEL;
VARIATIONAL FORMULATION;
SCHEDULE RELIABILITY;
PERFORMANCE ANALYSIS;
KINEMATIC WAVES;
HOLDING PROBLEM;
PASSENGER WAIT;
TRAVEL-TIME;
FREQUENCY;
STOPS;
D O I:
10.1016/j.trb.2017.02.006
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
This paper presents a set of optimal control formulations for maximising bus service reliability through deriving optimal adjustments on signal timings. The traffic dynamics is captured by an underlying kinematic wave model in Hamilton-Jacobi formulation. With traffic data collected through loop detectors and bus positioning devices, the control actions are carried out through adjusting signal timing plans according to short-term estimations of traffic flows and bus arrivals. We derive the optimality conditions of multi-objective control formulations and present an open loop solution algorithm. The proposed control system is applied to a test arterial developed based upon a real-world scenario in Central London, UK. It is found that the model is capable of regulating bus service reliability through utilising traffic signals while managing delays induced to surrounding traffic. The study generates new insights on managing bus service reliability in busy urban networks. (C) 2017 Elsevier Ltd. All rights reserved.