Modeling Control Strategies Of Intelligent Connected Vehicle In Expressway Work Zone

In expressway work zone,frequent deceleration and lane change will increase the risk of conflict between vehicles.Traditional traffic control methods mainly use fixed roadside detectors to collect data and use variable information boards to publish information.However,there are two problems that drivers have different responses to the control strategies,which affect the control effect and the traffic flow between fixed detectors is unknown.The intelligent connected vehicle can continuously transmit traffic information for the traffic control center,and can fine-tune the position of the vehicle according to the command of the control center,so it can use intelligent network vehicle to improve the traffic flow situation in expressway work zone.It is of great significance to study the intelligent connected vehicle control strategy in expressway work zone under intelligent connected environment for improving traffic safety and vehicle operation efficiency.An intelligent connected vehicle driving model based on cellular automata is constructed.Based on the study of the driving characteristics of the Intelligent connected vehicle,the following model of the intelligent connected vehicle is constructed based on TSM model,and the lane changing model of the intelligent connected vehicle is constructed based on STCA model.An intelligent connected vehicle control scheme for expressway work zone based on multi-layer structure control is designed.On the basis of the analysis of traffic operation status in expressway work zone,variable speed control and lane-changing confluence control are selected as vehicle control tasks.On the basis of constructing cooperative control scenario,the framework of intelligent connected vehicle control is established based on multi-layer structure control method,and the optimization model of variable speed control value based on model predictive control method is proposed,and the solving process of model is designed based on genetic algorithm.The traffic control strategy of expressway work zone is designed,and the effect of the control strategy is simulated and evaluated based on cellular automata model.According to the characteristics of the built intelligent connected environment and cellular automata,the simulation environment of cellular automata is established;vehicle driving parameters and vehicle control parameters are calibrated by quantitative and qualitative methods;The simulation analysis only uses the intelligent connected vehicle as the actuator,and evaluates the applicability of the traffic control strategy under the different proportion of the intelligent connected vehicle,different traffic density and different vehicle control schemes in the expressway work zone.Simulation results show that the intelligent connected vehicle can increase road capacity.In the expressway work zone,the different proportion,traffic flow density and vehicle control schemes of the Intelligent connected have different effects on the operation of road traffic flow.In the high-density network environment,the combination control of early lane change and variable speed control can effectively reduce the average travel time of vehicles.