Study on Cooperation between Traffic Control and Route Guidance Based on Real-time Speed

Cao Jie, Wang Chuan

Abstract


Aiming at minimizing the total travel time of the road network, a cooperation model of traffic control and route guidance is built based on real-time speed obtained from cooperative vehicle infrastructure system. Genetic algorithm is used to solve the cooperation model to get the optimal green ratio and guidance rate of flow through transforming genetic algorithm with constraints into unconstrained genetic algorithm by penalty function. The simulation results of an experimental simulation on a small network show that this method can effectively balance the network flow, reduce total travel time and improve the efficiency of road network.


Keywords


cooperative vehicle infrastructure system; traffic control; route guidance; genetic algorithm; penalty function

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DOI: http://doi.org/10.11591/ijeecs.v12.i10.pp7242-7248

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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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