AMoDeus, a Simulation-Based Testbed for Autonomous Mobility-on-Demand Systems
- Conference Paper
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. Show more
Book title2018 21st International Conference on Intelligent Transportation Systems (ITSC)
Journal / series2018 21st International Conference on Intelligent Transportation Systems (ITSC)
Pages / Article No.
SubjectPublic transportation; Adaption models; Robots; Urban areas; Tools; Autonomous vehicles
Organisational unit03521 - Axhausen, Kay W. / Axhausen, Kay W.
09574 - Frazzoli, Emilio / Frazzoli, Emilio
02655 - Netzwerk Stadt und Landschaft D-ARCH
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