A Multiroute Signal Control Model considering Coordination Rate of Green Bandwidth

Oriented to characteristics of the inflow and outflow of routes in urban road network, we modified the classical fundamental green wave bandwidth model, in which separate turning green wave band is available for traffic flow from subarterials merging into an arterial, and this variable green wave ba...

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Bibliographic Details
Published in:Journal of advanced transportation 2021-12, Vol.2021, p.1-13
Main Authors: Yao, Jiao, Tang, Qingyun, Wang, Pincheng
Format: Article
Language:English
Subjects:
Asymmetry
Bandwidths
Commuting
Coordination
Industrial parks
Integer programming
Linear programming
Mixed integer
Objective function
Optimization
Roads
Traffic flow
Transportation
Transportation networks
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Summary:Oriented to characteristics of the inflow and outflow of routes in urban road network, we modified the classical fundamental green wave bandwidth model, in which separate turning green wave band is available for traffic flow from subarterials merging into an arterial, and this variable green wave band can be more flexible to service the commuting traffic. Moreover, with the analysis of the mapping characteristics of the phase coordination rate, the concept of the coordination rate of green wave bandwidth was proposed, with which as the objective function, a multiroute signal coordination control model was established, and this model is a mixed integer linear programming problem with the overall optimal coordination rate of inbound, outbound, and turning movement as the objective. Finally, a case study was given with road network in Suzhou Industrial Park, Jiangsu Province, China. From the simulation results, we can conclude that the coordinated distribution of the model proposed in this study is more stable; the fluctuation range is 0.09, which is less than that of optimization scheme in classical signal timing software Synchro, which is 0.33; and the total route delay can also be reduced by 15% compared to the current situation and 3.3% compared to Synchro optimization solution.
ISSN:0197-6729
2042-3195
DOI:10.1155/2021/4310403