Intelligent planning method for urban rail transit timetable and under-vehicle utilization plan

Abstract

The invention discloses an intelligent planning method for urban rail transit timetable and under-vehicle operation plan, comprising the following steps: S1, calculating the passenger flow of uplink and downlink sections in each time period through passenger flow data of urban rail transit; S2, obtaining uplink and downlink traffic The respective maximum section passenger flow in the downlink period; S3. According to the maximum section passenger flow, calculate the maximum departure interval of uplink and downlink respectively, and set the minimum departure interval; S4. Construct the departure interval constraint according to the maximum departure interval and the minimum departure interval; S5. Construct an optimization model based on the departure interval constraints and the minimization of vehicle usage; S6. Reconstruct the optimization model into a mixed integer linear programming model MILP to obtain timetable and vehicle usage plan data. The present invention solves the problem of The prior art cannot correctly solve the problem of mutual influence between the operation plan at the bottom of the vehicle and the train timetable.

Description

technical field [0001] The invention belongs to the field of urban rail transit operation, and in particular relates to an intelligent planning method for an urban rail transit timetable and vehicle bottom operation plan. Background technique [0002] With the continuous expansion of the world's cities and the rapid increase of urban population, urban rail transit, as a safe, fast, economical and efficient mode of transportation, has become the first choice for citizens to travel. Due to the continuous expansion of transportation demand, urban rail transit has developed rapidly in recent years. At the same time, the busy transportation tasks and huge operating costs have become problems that operators cannot ignore. An excellent urban rail transit operation plan can effectively ensure the completion of transportation tasks while reducing operating costs. [0003] As an important part of the operation plan, the train timetable stipulates the departure, arrival or passing tim...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides an intelligent planning method for urban rail transit timetables and train schedules, which solves the problem that the prior art cannot correctly solve the problem of mutual influence between train schedules and train schedules.

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