A Train Group Control Method Based on Car Following Model Under Virtual Coupling
There remains a gap between transportation capacity and demand under the high-speed railway moving block mode,prompting the exploration of new approaches such as virtual coupling to enhance transportation capacity.With the concept of virtual coupling and inspired by car-following models utilized in road traffic,we propose a novel acceleration adjustment strategy by train dynamics and multi-agent methods for tracking trains based on the speed and distance relationship between adjacent trains,with the goal of ensuring train safety and passenger comfort while enabling virtual coupling within the train group.A corresponding virtual coupling acceleration adjustment model is established for train groups,aiming to achieve equal speed and distance between all trains in the group.The proposed model is validated using the CRH380A high-speed train as a case study.Simulation results demonstrate that the proposed acceleration adjustment strategies effectively realize the virtual coupling of train groups.Compared to the moving block method,adopting virtual coupling reduces the time required for train collaboration by 9.7%and decreases the distance between trains by 10.1%,thereby improving efficiency.Furthermore,the time required to achieve virtual coupling is shorter when considering the train group as a whole compared to when the group is separated into multiple groups.
railway transportationtrain operation controlcar following modelvirtual couplingtrain tracking spacing
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