Train-shared metro passenger and freight co-transportation optimization considering freight modes and passenger hard time windows
As a result of the successful practice of metro networks solving the travel problem of resi-dents in large cities,the use of redundant capacity of metro lines in off-peak hours to alleviate urban traffic congestion and freight pressure has become a hot topic in the urban freight field in recent years.This paper explores an optimization problem in metro passenger and freight co-transportation with the"train-shared"mode.It specifically considers transportation mode constraints for freight demands(i.e.,a freight demand either fully relies on the metro or not at all)and time window constraints for pas-senger and freight demands.The objective is to make optimal use of metro capacity to serve freight de-mands under the premise of meeting all passenger demands,and meanwhile to minimize the impact of freight transportation on passengers and the workload of mixed train composition.The transportation mode constraints for freight demands result in the problem being formulated as a nonlinear integer pro-gramming model.By employing linearization techniques,the nonlinear integer programming model is transformed into an equivalent linear integer programming model,which is then solved using the com-mercial solver CPLEX.Experimental results using the Batong line of Beijing subway as an example demonstrate that the proposed method can effectively address the problem of interest,and the obtained optimization strategy can improve the efficiency of the"train-shared"mode for a metro line.To further clarify the characteristics of the problem,the relevant results are compared with an existing study,which provides more references for metro freight management and decision.
metro freightpassenger and freight co-transportationcarriage arrangementtransporta-tion modetime window
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