Abstract
In order to improve train operation planning from the two perspectives of enterprise operating costs and passengers’ travel time, this paper proposes an integrated optimization model of three sub-problems, namely line planning, timetabling and rolling stock allocation for urban railway transit lines based on passengers’ travelling demands and the constraints of the urban rail line. The model features dwelling time at stations, turnaround operations at terminal stations, entering/exiting depot operations and an assignment for passengers’ travelling flow. We propose a solution method based on a metaheuristic method that simulates annealing to generate an optimal solution for the overall problem using MATLAB. Finally, we use the example of Xi’an metro line one to demonstrate the performance of the model.
Highlights
Integrated Optimization of LineUrban railway systems are safe and energy efficient types of transport, and they have an important role in the public transportation of big cities due to their advantages of having high transportation capacity and high efficiency
The rolling stock allocation subproblem must deal with the circulations and connections to only one depot
This study puts forward an optimization model integrating line planning, timetabling and rolling stock allocation
Summary
Integrated Optimization of LineUrban railway systems are safe and energy efficient types of transport, and they have an important role in the public transportation of big cities due to their advantages of having high transportation capacity and high efficiency. Transport points out that urban rail infrastructures had an average of 168 million passengers per day worldwide from 2000 to 2017. This number will keep increasing as 70%. To provide passengers with more convenience and improve the operational efficiency of urban rail, more attention must be paid to the train operational organization at present and in the future. One of the most important things regarding train operational organization is to optimize an operation plan based on the time–space distribution of passenger demands and the capacities of rail infrastructures in the plan stage. An operation plan specifies the number of trips and the operation details of each trip, such as the path, arrival and departure times at stations, as well as the servicing rolling stock. Its quality has a great effect on passengers’ service level and rail enterprises’ operating costs, and it is the basis for operating rolling stock in order on the rail network in the operation stage
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