Operation Plan Optimization of Cross-line Train in Autonomous-rail Rapid Transit
Autonomous-rail rapid transit(ART)system,a new rail transit system,has the advantages of flexible operation and cross-line organization.In recent years,with the continuous construction,the ART system in some cities has been gradually completed.To save operating costs and facilitate passenger travel,it is of great significance to study the ART cross-line train operation plan.Considering the path selection of passengers,this paper proposed an optimization model to determine the frequency of train departure on different routes and the locations of turnback stations on cross-line routes to optimize the enterprise operation and passenger travel costs.Several constraints such as passenger flow demand and route carrying capacity were included in the proposed model.Then,the model was solved by the simulated annealing genetic algorithm.Finally,the proposed model was verified by conducting numerical experiments on the Yibin ART system.The results show that,compared with the independent operation plan,the cross-line train operation plan after improvement reduces the comprehensive cost by 7.15%,showing that this plan can effectively enhance the operation performance of the ART system.
Autonomous-rail Rapid Transit SystemNetwork OperationCross-line TrainSimulated Annealing Genetic AlgorithmOperation Plan