Informace o publikaci

METS-R SIM: A simulator for Multi-modal Energy-optimal Trip Scheduling in Real-time with shared autonomous electric vehicles

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LEI Zengxiang XUE Jiawei CHEN Xiaowei QIAN Xinwu SAUMYA Charitha HE Mingyi SOBOLEVSKY Stanislav KULKARNI Milind SATISH V Ukkusuri

Rok publikování 2024
Druh Článek v odborném periodiku
Časopis / Zdroj SIMULATION MODELLING PRACTICE AND THEORY
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www https://www.sciencedirect.com/science/article/pii/S1569190X24000121
Doi http://dx.doi.org/10.1016/j.simpat.2024.102898
Klíčová slova Shared autonomous vehicles; Electric taxis; Electric buses; Agent -based modeling; Charging station
Popis We develop an agent -based simulator named METS-R SIM to support operational decisions for multi -modal shared autonomous vehicle (SAEV) services. Compared with existing traffic simulators, METS-R SIM offers several valuable features including: 1) A microscopic vehicle movement model for SAEV services, which allows us to explicitly model vehicular interactions and generate detailed speed and acceleration profiles for energy estimation. 2) An efficient implementation in which parallel computing is embedded in METS-R SIM which can update the state of different agents (e.g., vehicle locations in different links) simultaneously. 3) A modular and extensible framework as the simulator is built upon an agent -based modeling environment named Repast Simphony which is featured by its well-factored abstractions; in addition, a server-client structure is introduced to implement real -time operational algorithms such as energy-efficient routing and adaptive transit scheduling. 4) Open -source, reproducible with web-based visualization (METS-R SIM introduces these features to promote transparency). We validate METS-R SIM by matching the aggregated travel time and travel distance with the real observed ones obtained from New York City (NYC). We also compare the generated speed profiles qualitatively to the ones reported in published studies. We demonstrate the functionalities of our simulator by simulating SAEV services deployed to serve travel needs related to three main transportation hubs in NYC.

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