Autonomous vehicles are expected to change our lives with significant applications like on-demand, shared autonomous taxi operations. Considering that most vehicles in a fleet are parked and hence idle resources when they are not used, shared on-demand services can utilize them much more efficiently. While ride hailing of autonomous vehicles is still very costly due to the initial investment, a shared autonomous vehicle fleet can lower its long-term cost such that it becomes economically feasible. This requires the Shared Autonomous Vehicles (SAV) in the fleet to be in operation as much as possible. Motivated by these applications, this paper presents a simulation environment to model and simulate shared autonomous vehicles in a geo-fenced urban setting. To simulate the aforementioned applications, a simulation environment that has a realistic rendering of the chosen real-world environment with realistic traffic generated around the SAVs is developed first using a geo-fenced area centered at the city of Marysville in Ohio as an example. This paper, then, presents an algorithm to optimally utilize multiple autonomous vehicles for shared rides based on modeling of pickup locations corresponding to affordable housing at the periphery of the geo-fenced area connected to destination locations corresponding to jobs and other locations of opportunity. The presented work showcases SAV operation as a solution to the spatial mismatch between affordable housing and job locations in a realistic simulation environment in an urban setting.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Assessing the Access to Jobs by Shared Autonomous Vehicles in Marysville, Ohio: Modeling, Simulating and Validating


    Additional title:

    Sae Int. J. Adv. and Curr. Prac. in Mobility



    Conference:

    SAE WCX Digital Summit ; 2021



    Publication date :

    2021-04-06


    Size :

    7 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Assessing the Access to Jobs by Shared Autonomous Vehicles in Marysville, Ohio: Modeling, Simulating and Validating

    Meneses Cime, Karina / Cantas, Mustafa Ridvan / Fernandez, Pedro et al. | British Library Conference Proceedings | 2021


    Shared Autonomous Vehicles Ontology

    de Sousa Boieiro, Pedro / da Silva, Miguel Mira / Santoro, Flavia Maria et al. | Springer Verlag | 2022


    Marysville-Yuba city bridge will be completed next September 1

    Winter, C.C. | Engineering Index Backfile | 1947


    Large-Diameter Pipe Piles Driven for Ebey Slough Bridge Replacement Project, Marysville, Washington

    Petek, Kathryn / Mitchell, Robert A. / Buechel, Gerard et al. | Transportation Research Record | 2014


    Engineer for right-hand steer - Hondas Marysville plant steers towards RHD

    Kobe,G. / Honda,US | Automotive engineering | 1992