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

J 2024

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

LEI, Zengxiang; Jiawei XUE; Xiaowei CHEN; Xinwu QIAN; Charitha SAUMYA et al.

Základní údaje

Originální název

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

Autoři

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

Vydání

SIMULATION MODELLING PRACTICE AND THEORY, NETHERLANDS, ELSEVIER, 2024, 1569-190X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10100 1.1 Mathematics

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 4.600

Označené pro přenos do RIV

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

Shared autonomous vehicles; Electric taxis; Electric buses; Agent -based modeling; Charging station

Štítky

RIV ne

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 31. 10. 2024 09:44, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

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.

Citovat

LEI, Zengxiang; Jiawei XUE; Xiaowei CHEN; Xinwu QIAN; Charitha SAUMYA; Mingyi HE; Stanislav SOBOLEVSKY; Milind KULKARNI a V Ukkusuri SATISH. METS-R SIM: A simulator for Multi-modal Energy-optimal Trip Scheduling in Real-time with shared autonomous electric vehicles. SIMULATION MODELLING PRACTICE AND THEORY. NETHERLANDS: ELSEVIER, 2024, roč. 132, April 2024, s. 102898-102922. ISSN 1569-190X. Dostupné z: https://doi.org/10.1016/j.simpat.2024.102898.

@article{2447721,
   author = {Lei, Zengxiang and Xue, Jiawei and Chen, Xiaowei and Qian, Xinwu and Saumya, Charitha and He, Mingyi and Sobolevsky, Stanislav and Kulkarni, Milind and Satish, V Ukkusuri},
   article_location = {NETHERLANDS},
   article_number = {April 2024},
   doi = {https://doi.org/10.1016/j.simpat.2024.102898},
   keywords = {Shared autonomous vehicles; Electric taxis; Electric buses; Agent -based modeling; Charging station},
   language = {eng},
   issn = {1569-190X},
   journal = {SIMULATION MODELLING PRACTICE AND THEORY},
   note = {Chybí afiliace k MU. Nevykazovat do RIV.},
   title = {METS-R SIM: A simulator for Multi-modal Energy-optimal Trip Scheduling in Real-time with shared autonomous electric vehicles},
   url = {https://www.sciencedirect.com/science/article/pii/S1569190X24000121},
   volume = {132},
   year = {2024}
}

TY  - JOUR
ID  - 2447721
AU  - Lei, Zengxiang - Xue, Jiawei - Chen, Xiaowei - Qian, Xinwu - Saumya, Charitha - He, Mingyi - Sobolevsky, Stanislav - Kulkarni, Milind - Satish, V Ukkusuri
PY  - 2024
TI  - METS-R SIM: A simulator for Multi-modal Energy-optimal Trip Scheduling in Real-time with shared autonomous electric vehicles
JF  - SIMULATION MODELLING PRACTICE AND THEORY
VL  - 132
IS  - April 2024
SP  - 102898
EP  - 102898
PB  - ELSEVIER
SN  - 1569190X
N1  - Chybí afiliace k MU. Nevykazovat do RIV.
KW  - Shared autonomous vehicles
KW  - Electric taxis
KW  - Electric buses
KW  - Agent -based modeling
KW  - Charging station
UR  - https://www.sciencedirect.com/science/article/pii/S1569190X24000121
N2  - 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.
ER  -

LEI, Zengxiang; Jiawei XUE; Xiaowei CHEN; Xinwu QIAN; Charitha SAUMYA; Mingyi HE; Stanislav SOBOLEVSKY; Milind KULKARNI a V Ukkusuri SATISH. METS-R SIM: A simulator for Multi-modal Energy-optimal Trip Scheduling in Real-time with shared autonomous electric vehicles. \textit{SIMULATION MODELLING PRACTICE AND THEORY}. NETHERLANDS: ELSEVIER, 2024, roč.~132, April 2024, s.~102898-102922. ISSN~1569-190X. Dostupné z: https://doi.org/10.1016/j.simpat.2024.102898.

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