We are more and more close to the time when a higher number of autonomous vehicles are appearing in road traffic. The number of unanswered questions does not diminish but grow. One such issue is the role of autonomous vehicles in public transport. When talking about autonomous vehicles we often think of only cars and we think less about self-driving buses. But the economic potential inherent in autonomous buses is huge. In the Hungarian vehicle and crew scheduling practice (and also in other countries) the one driver-one vehicle control is typical. This method closely links the vehicles and the drivers. Vehicles should therefore adapt to the rest time of the crew and the employment rules. Unused reserves are generated in the system. Autonomous vehicles can release this overcapacity. Thanks to that, fewer vehicles can carry out public transport tasks and we can save extra rides. It also provides a solution to the lack of drivers, which is a basic problem in many countries. In our study we show the reserves that can be recovered from the system in the case of three Hungarian cities (Eger, Dunaújváros, Győr). We show how much savings can be achieved by running autonomous buses in European cities with a population of 45 000, 54 000 and 130 000 inhabitants. The results are promising. In smaller cities we could achieve about 20% of economical savings but in bigger cities 40% is also realistic. Our statements are based on only rough calculations and they try to help in preparation for the future.


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    Titel :

    Effect of Self-driving Buses on Vehicle Scheduling


    Weitere Titelangaben:

    Advs in Intelligent Syst., Computing


    Beteiligte:
    Nathanail, Eftihia G. (Herausgeber:in) / Adamos, Giannis (Herausgeber:in) / Karakikes, Ioannis (Herausgeber:in) / Nagy, Viktor (Autor:in) / Horváth, Balázs (Autor:in)

    Kongress:

    Conference on Sustainable Urban Mobility ; 2020 ; Skiathos Island, Greece June 17, 2020 - June 19, 2020



    Erscheinungsdatum :

    04.11.2020


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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