Research on multivehicle cooperative control strategies for urban roads

Aimed at the problems of remain inherent transmission distance limitations and sensor single, as well as the complexity of algorithms, which affect accurate decision making in multi-vehicle cooperative control on urban roads. From an amalgam advanced communication technology integration, intelligent decision-making algorithms, and sensor fusion. Use technical methods such as multi-vehicle cooperative adaptive cruise, information fusion and decision-making algorithms, and cooperative control strategies. Applications PreScan platform is applied to simulate, urban road model to simulate the behaviour of multivehicle in different urban road traffic scenarios and to verify the accuracy of the strategy. Quiz test results show that the strategy is improving the dynamic real-time information interaction capability of multi-vehicle cooperative control, optimizing congested road multi-vehicle intelligent and precise diversion regulate and control, and excel in these areas, effectively protects traffic safety and significantly improved efficiency of access.