The article introduces an integrated approach for the planning of urban rail transport system with the purpose of maintaining the high traffic density, ensuring the safety of trains, passenger comfortable service and properly use of resources. It explores the possibility of using genetic algorithms for all three types of planning the transportation process such as the planned train schedule, maintenance schedule and working schedule for locomotive crews. The main objective of the study is to improve an automated train planning system with the uniformity criterion by using a variety of resources under limited restrictions. The authors examined the possibility of genetic algorithm for the planning of urban rail transportation system by using various types of crossover, mutations and the influence of genetic algorithm parameters on the results of transportation planning process.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Application of Genetic Algorithms for the Planning of Urban Rail Transportation System


    Additional title:

    Lecture Notes in Intelligent Transportation and Infrastructure



    Conference:

    Scientific And Technical Conference Transport Systems Theory And Practice ; 2021 September 21, 2021 - September 23, 2021



    Publication date :

    2022-01-03


    Size :

    19 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Application of Entropy-DEA Method on the Comprehensive Evaluation for Urban Rail Transportation Planning

    Zhu, T.-y. / China Communications and Transportation Association; Transportation & Development Institute (American Society of Civil Engineers) | British Library Conference Proceedings | 2007




    Rail Mass Transportation System Planning and Noise

    Wilson, George Paul | SAE Technical Papers | 1972