System and method for generating vehicle movement plans in a large railway network

Abstract

Disclosed is method and system for continuously re-generating reactive on-line train schedules for trains running in a large railway network. Railway network partitioned based on user configuration, into first type comprising trunk line and feeder line sub-networks, and second type comprising supervisory dispatch control territories. Sense and respond cycle is continuously executed on multi-processor computing environment, senses dynamic data from field about train movements, and other changes from users. For each first type sub-network, degree of deviation is computed from incumbent plans and congestion in sub-networks. Using degree of deviation and congestion, trains are rerouted and suitable scheduling methods are chosen for each sub-network and executed in parallel and first level train schedules are sent to second level train schedulers working on second type sub-networks which in parallel identify and resolve conflicts among first level train schedules. Second level train schedules are collated to generate reactive on-line network train schedule.

Description

[0001] priority statement [0002] This application claims priority from Indian Provisional Patent Application No. 1676 / MUM / 2014 filed on May 19, 2014. Its entire contents are hereby incorporated by reference. technical field [0003] The subject matter described herein relates generally to the planning and scheduling of trains in large-scale railway networks. More particularly, the subject matter relates to continuously regenerating a reactive on-line train schedule for trains traveling in a large-scale rail network by interactively partitioning the large-scale rail network. Background technique [0004] As the demand for the transportation of goods and passengers grows over large areas, there is an increased need for efficient and larger-scale rail networks. A large-scale rail network has many train stations and connects the stations to thousands of trains running on multiple tracks. In real life, continuously monitoring and rescheduling a large number of trains in a la...

AI Technical Summary

Problems solved by technology

In the prior art, several solutions are proposed for automatic train planning and scheduling, but all solutions are limited to a limited number of trains and train stations

These conventional methods for railway planning and scheduling deal with limited-sized railway networks and do not provide

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