Research On Scheduling Problem Of Intelligent Connectted Multi-Vehicle Considering Vehicles Priority

Wih the development of social economy,the application of intelligent driving technology in traffic is becoming more and more extensive,and vehicle scheduling problem has become one of the focuses of current research.The research on this issue is of great positive significance for solving the problems of road congestion and environmental pollution.In the traditional research methods,the intelligent driving technology is usually only considered the driving behavior of the vehicle when it’s applied to the actual traffic,and a single driving strategy or many vehicles driving strategy are as the main research contents,but the research on emergence degree of multiple vehicles does not see more,which still has a gap with the actual traffic.facing the emergency of multi-vehicle arrival at destination and vehicles energy dissipation,in this paper,the intelligent connected multi-vehicle scheduling model is proposed to plan out a reasonable speed and driving route for vehicles in real-time,and emergency vehicles can be drive through in higher priority,therefore,how to arrange the running sequence between vehicles reasonablely,and to further coordinate the relationship between vehicles to schedule vehicles reasonableiy is the current focus in this paper and the problems to be settled urgently.1)An intelligent connected multiple vehicles scheduling model considering the priority of vehicles was proposed,firstly,we defined the priority of vehicles and analysized the behaviors of vehicles and cooperation betw een vehicles,then the behavior strategy of vehicles model and the vehicles scheduling model were built,among them,the behavior strategy of vehicles model is mainly about the trigger mechanism of vehicle behavior change,the vehicles scheduling model is mainly about how to coordinate the driving sequence between vehicles.Then,the behavior model related to vehicle priority was established,including the lane change behavior model,overtaking behavior model and adaptive behavior model.The vehicle state e volution model considering the change of the vehicle behavior was established,which is the updating rule of vehicle position and speed.2)The average energy dissipation model considering the priority of vehicles is established.The average energy dissipation model is mainly adopted to measure the average energy dissipation of vehicles scheduling considering the various priorities of vehicles.Through numerical analysis,by comparing the overall average energy dissipation of vehicles with different priorities in the same road environment,we can see that when considering the vehicles priority,the average energy consumption is lower,and the average energy consumption of the vehicle is reduced about 25%.It shows that the scheduling algorithm accounting for vehicles’ priority can reduce the average energy consumption of the traffic flow efficiently.3)The multi-vehicle scheduling simulation system considering the priority of vehicles is established.For the different road environment,running the simulation system,the results show that the traffic efficiency is positively correlated with the utilization rate of road resources before the road traffic flow reaches the steady state.In addition,when the vehicle density is about 0.2,the road traffic efficiency reaches the maximum.For the same road environment,running the simulation system,the results show that the time for road traffic flow to reach steady-state is shortened by about one-fifth when considering vehicle priority compared with the scheduling algorithm without considering vehicles priority.Besides,the scheduling algorithm considering the priority of vehicles can still improve the overall traffic efficiency of vehicles with high priority higher than that of vehicles with low priority before the trffic flow reaches the steady state.