Simulation Research on Train Group Tracking Operation with Virtual Coupling for Urban Mass Rail Transit
Urban mass rail transit is the most effective mode of green transportation mode to alleviate urban traffic congestion.During peak periods,there is a surge in passenger flow,resulting in uneven distributions of both time and space at stations.The dynamic and flexible formation and train group tracking operation with virtual coupling can effectively meet the complex and changing operational requirements.In this study,the process of train group tracking operation with virtual coupling is analyzed,and provide the formula for calculating the minimum safe tracking distance in a train group with virtual coupling.The line section with a single standard train length is considered as a cellular unit,and the updating rules for train speed and position are designed.A simulation model based on cellular automata is constructed for train group tracking operation.A multi-angle simulation is conducted on Metro Line 2 of a city.The simulation results show that the model of train group tracking operation with virtual coupling can effectively reduce the minimum safe tracking interval time.It enhances the line capacity,which is increased by 78.4％compared to the moving block system;the delay of the first train in the train group has a less effect on the subsequent trains,indicating better anti-interference and recovery performance.Additionally,it is appropriate to use short-formulation trains for achieving virtual coupling.Among various configurations,the dynamic mixed formation shows optimal tracking performance,followed by single short-formulation trains.Groups of long-formulation trains leading groups of short-formulation trains offering better operational efficiency.The travel speed of the train group is positively correlated with the average station spacing.When the departure interval of trains is larger than the delay time,the average station spacing is insensitive to the delay of train groups.Under opposite conditions,the impact becomes more significant.The findings provide technical support for decision-making in train group tracking operations with virtual coupling for urban mass rail transit.
urban traffictrain group tracking operationcellular automataurban mass rail trainvirtual couplingdynamic and flexible formation
万方数据
维普
