An RSU Deployment Scheme for Vehicle-Infrastructure Cooperated Autonomous Driving

For autonomous driving vehicles, there are currently some issues, such as limited environmental awareness and locally optimal decision-making. To increase the capacity of cars’ awareness, computation, decision-making, control, execution, intelligent roads must be constructed, vehicle–infrastructure cooperative technology used. The Roadside unit (RSU) deployment, a critical component driving, has direct impact on network performance, operation effects, control accuracy. current RSU deployment mostly uses large-spacing low-density concept because expensive installation maintenance costs, which can accomplish macroscopic long-term communication functions but fall short precision vehicle control. Given these challenges, this paper begins with specific requirements to vehicles in environment. An scheme, based improved multi-objective quantum-behaved particle swarm optimization (MOQPSO) algorithm, is proposed. This scheme was maximum coverage time threshold problem (MCTTP), goal minimizing number RSUs maximizing services. Finally, utilizing independently created open simulation platform (OSP) system, model algorithm’s viability effectiveness were assessed Nguyen–Dupuis road network. findings demonstrate that suggested enhance performance coordination, serve general guide for same application situation.