An Optimization Model of Arterial Multi-path Green-band Considering Path Relationships
In response to the issue of reduced green bandwidth after an increase in coordinated path numbers,this paper proposes a multi-path coordinated control optimization model considering path relationships.The relatedness of paths is analyzed,and models for partition of outbound and inbound and decomposing paths are constructed.Subgroup division parameters are introduced to improve the classical multi-path model,and intra-subgroup coordination constraints are established.The connection characteristics of paths between adjacent subgroups are analyzed,and inter-subgroup connectivity constraint conditions are defined.The weight coefficients considering the length and traffic of sub-paths are also incorporated in the model.The optimization objective is to maximize the weighted sum of green bandwidths of each subgroup.A case study is conducted on a typical main road in Nanjing City to validate the effectiveness of the model.The results show that the proposed model effectively increases the green band width,with a weighted green band width improvement of 49.44%compared to the benchmark.The application effect of the scheme is verified using VISSIM software,and the simulation results demonstrate that the proposed model scheme achieve better performance than the traditional methods.The arterial average delay is reduced by 20%and average number of stops is reduced by 27%on critical paths,while the average vehicle speed increased by 17%.The proposed model provides a theoretical basis for the coordination control of urban arterial.
traffic engineeringgreen-wave optimization modelmixed integer linear programmingmultipath arterial coordinationpath relationship
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