In an autonomous mobility-on-demand (AMoD) system, customers are transported by autonomously driving vehicles in an on-demand fashion. Although these AMoD systems will soon be introduced to cities, their quantitative analysis from a fleet operational and city planning viewpoint remains challenging due to the lack of dedicated analysis tools. In this paper, we introduce AMoDeus, an open-source software package for the accurate and quantitative analysis of autonomous mobility-on-demand systems. AMoDeus uses an agent-based transportation simulation framework to simulate arbitrarily configured AMoD systems with static or dynamic demand. It includes standard benchmark algorithms, fleet efficiency and service level analysis methods and a dedicated graphical viewer that allows in-depth insights into the system. Together with AMoDeus, we publish a typical simulation scenario based on taxi traces recorded in San Francisco. It can be used to test novel fleet control algorithms or as a basis to model more complex transportation research scenarios.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    AMoDeus, a Simulation-Based Testbed for Autonomous Mobility-on-Demand Systems


    Contributors:


    Publication date :

    2018-11-01


    Size :

    1278823 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Simulation Framework for Rebalancing of Autonomous Mobility on Demand Systems

    Marczuk Katarzyna A. / Soh Harold S.H. / Azevedo Carlos M.L. et al. | DOAJ | 2016

    Free access

    Advanced Mobility Testbed for Dynamic Semi-Autonomous Unmanned Ground Vehicles

    P. Jayakumar / A. Jain / J. Poplawski et al. | NTIS | 2015


    Intermodal Autonomous Mobility-on-Demand

    Salazar, Mauro / Lanzetti, Nicolas / Rossi, Federico et al. | IEEE | 2020


    Autonomous Flying Controls Testbed

    Motter, Mark A. | NTRS | 2005


    Autonomous Flying Controls Testbed

    M. A. Motter | NTIS | 2005