Research on route hierarchical control strategy from the perspective of macroscopic traffic network

Abstract

In order to alleviate traffic congestion, transfer the regional orientation of macroscopic traffic flow to microscopic routes, and form a unified and coordinated framework of macro path decision and micro path decision, a vehicle route hierarchical control strategy is proposed from the perspective of network macro aggregated information. Firstly, according to the homogeneity of vehicle density distribution, a network is divided into several sub-regions, and then the macro-aggregate dynamic mapping relationship of each sub-area is analyzed. Secondly, a traffic equilibrium distribution model is established under heterogeneous macro path conditions to minimize the travel time of traffic flow. To bring macro traffic flow solved by the above model to the projected into the actual network level, the logit route model is used to guide macro traffic flow to the micro-scale road network with the help of a simplified network. Finally, the SUMO simulation platform is employed to achieve the solution and verification of the hierarchical vehicle path control method. The experimental results prove that the strategy can effectively reduce the congestion of the urban road network during peak hours and improve the traffic capacity of the road network. It is also demonstrated that macroscopic aggregate information is one of the reliable information sources for vehicle path control and guidance in a road network.

Keywords:

• Logit guidance
• macroscopic aggregated information
• path hierarchical control
• simplified network

Disclosure statement

The authors reported no potential conflict of interest.

Additional information

Funding

The project received research funding support from the National Natural Science Foundation (No.61873216). The second author is supported by the National Natural Science Foundation of China (No. 62103292).