Research On Scheduling Optimization Of Autonomous Shuttle Bus For Pedestrians Crossing In The Road Section

In 2022,the Ministry of Transport promulgating a series of policies to accelerate the development and innovation in the field of autonomous driving,and autonomous driving technology has gradually become the trend of future transportation development.In addition,the unreasonable setting of pedestrian crossing facilities is still relatively common.For example,the pedestrian detour distance is too far and the waiting time for the signal light is too long,etc.How to use automatic driving technology to ensure the safety and efficiency of pedestrians crossing is of great significance for the application of urban roads in the future.Based on the above analysis,this paper puts forward the concept of "autonomous shuttle bus" for pedestrians crossing in the road section.The pedestrians crossing the street are concentrated in the autonomous shuttle bus,and the autonomous shuttle bus travels back and forth between stops to transport pedestrians to cross the street.The main work is as follows:(1)Layout plan for autonomous shuttle bus stations.According to the minimum interval constraints of the shuttle bus stops on the same side of the road section,and the acceptable detour distance for pedestrians,a probability model for pedestrians to select stops across the street is constructed,and the set of shuttle bus stops available for selection is determined.Establish an optimization model of pedestrian detour distance and stop construction cost,and optimize the layout plan of autonomous shuttle bus stops.(2)Scheduling optimization method for autonomous shuttle buses.In order to ensure that the autonomous shuttle buses running in the road section can meet the needs of pedestrians crossing to the greatest extent,the constraints of the time and the number of passengers that the autonomous shuttle buses can carry at the stop are established.In order to schedule optimization of the autonomous shuttle bus operation plan,AMPL(A Mathematical Programming Language)software is used to optimize scheduling based on the global optimal strategy,compile through mixed integer linear programming,and use CPLEX integer programming linear solver to calculate the time and trajectory of the autonomous shuttle bus to the stop.(3)Coordinated control method of autonomous shuttle buses in the operation zones.Under the condition that multiple autonomous shuttle buses are running at the same time,the operation zones of the autonomous shuttle buses are divided according to the operation schedule of different autonomous shuttle buses.On the basis of the original numerical solution method,an improved signal coordination method is adopted to reduce repeated calculation.Set the initial ideal signal light layout position,and calculate the relationship between the front and rear projected green signal ratios of the actual signal light,and the green wave bandwidth through the offset distance between the actual signal and the ideal signal.Finally,calculate the optimal green wave bandwidth of the road operation zones.In the future development process of autonomous driving,the research on the scheduling optimization of autonomous shuttles for pedestrians crossing the street proposed in this paper establishes and optimizes the stops and trajectories of autonomous shuttles for pedestrians crossing,which can be used to meet the safety and efficiency requirements of pedestrians.The demand for convenience,research results can support the application of autonomous driving technology in urban traffic.