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Shared autonomous vehicle service design, modeling, and simulation

Abstract : Shared autonomous vehicles, synthetic population, multi-agent simulation, service designAbstract: Shared autonomous vehicles (SAVs) are the next major evolution in urban mobility. This technology has attracted much interest of car manufacturers aiming at playing a role as transportation network companies (TNCs) and carsharing agencies in order to gain benefits per kilometer and per ride. An SAV service can merge cabs, carsharing, and ridesharing systems into a single transportation mode, and allow a more accessible, dynamic, and intelligent form of shared mobility. However, the success and competitiveness of future SAV services depend on their operational models, which are linked intrinsically to the service configuration and fleet specification. On the other hand, any changes in operational models of SAVs result in different demands for such a service in a real-world transportation network. Hence, considering the dynamic interaction of service and demand represents a key-factor for successfully designing SAVs in a real-life context. Using a comprehensive framework of SAV simulation in a multimodal dynamic-demandsystem with integrated SAV user taste variation, this thesis evaluates the performance of various non-electric and electric SAV fleets and their operational configuration, and to design the service. In this context, first, different approaches to SAV travel demand modeling and simulation techniques are reviewed and analyzed. Next, the required data and process, particularly synthetic population generation and activity chain allocation, are investigated. In line with the purpose of this thesis, an overall framework of comprehensive SAV modeling and simulation is then proposed. Later, the impact of user taste variation on SAV service design and particularly fleet size is explored. Insights gained through a comprehensive investigation of SAV service performance considering fleet size, vehicle capacity, ridesharing and rebalancing, and service cost along with proposed key performance indicators are then provided. Finally, assuming a fleet of electric SAVs, the impacts of charging infrastructure on service efficiency are explored.
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Submitted on : Thursday, March 11, 2021 - 2:04:11 PM
Last modification on : Tuesday, August 17, 2021 - 11:58:28 AM
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  • HAL Id : tel-03166626, version 1


Reza Vosooghi. Shared autonomous vehicle service design, modeling, and simulation. Mechanical engineering [physics.class-ph]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLC071⟩. ⟨tel-03166626⟩



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