The impact of ride-hailing in city transportation
This paper investigates the impact of ride-hailing services, particularly the integration of autonomous vehicles (AVs), on urban transportation systems. The paper discusses the challenges faced by ride-hailing platforms in managing a fleet of both AVs and conventional vehicles (CVs) within the spati...
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Published in | Frontiers of Engineering Management Vol. 11; no. 4; pp. 759 - 765 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Beijing
Higher Education Press
01.12.2024
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Subjects | |
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Abstract | This paper investigates the impact of ride-hailing services, particularly the integration of autonomous vehicles (AVs), on urban transportation systems. The paper discusses the challenges faced by ride-hailing platforms in managing a fleet of both AVs and conventional vehicles (CVs) within the spatial network of a city. It examines the approaches and methods used to manage demand allocation for AVs and CVs, considering the strategic behavior of human drivers and considerations for possible regulations. Using mean-field game theory, this paper proposes efficient strategies for managing fleet operations along with those of traffic optimization and service efficiency. The analysis highlights the complexities of integrating AVs into existing transportation systems and advocates for the development of robust theoretical traffic models for regulatory decisions and improved urban mobility. |
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AbstractList | This paper investigates the impact of ride-hailing services, particularly the integration of autonomous vehicles (AVs), on urban transportation systems. The paper discusses the challenges faced by ride-hailing platforms in managing a fleet of both AVs and conventional vehicles (CVs) within the spatial network of a city. It examines the approaches and methods used to manage demand allocation for AVs and CVs, considering the strategic behavior of human drivers and considerations for possible regulations. Using mean-field game theory, this paper proposes efficient strategies for managing fleet operations along with those of traffic optimization and service efficiency. The analysis highlights the complexities of integrating AVs into existing transportation systems and advocates for the development of robust theoretical traffic models for regulatory decisions and improved urban mobility. |
Author | Courcoubetis, Costas Gao, Shuqin Li, Yunpeng Huang, Qisheng |
Author_xml | – sequence: 1 givenname: Costas surname: Courcoubetis fullname: Courcoubetis, Costas organization: School of Data Science, The Chinese University of Hong Kong, Shenzhen – sequence: 2 givenname: Yunpeng surname: Li fullname: Li, Yunpeng organization: School of Data Science, The Chinese University of Hong Kong, Shenzhen – sequence: 3 givenname: Shuqin surname: Gao fullname: Gao, Shuqin organization: School of Data Science, The Chinese University of Hong Kong, Shenzhen – sequence: 4 givenname: Qisheng surname: Huang fullname: Huang, Qisheng email: huangqisheng@hit.edu.cn organization: School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen |
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Cites_doi | 10.2139/ssrn.3664415 10.1007/s11537-007-0657-8 10.1287/msom.2021.1013 10.1287/opre.2018.1800 10.1287/msom.2023.1221 10.1287/mnsc.2021.3957 10.1145/2764468.2764527 10.2139/ssrn.4505414 10.1287/opre.2018.1822 10.4310/CIS.2006.v6.n3.a5 |
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References | S Banerjee (4198_CR2) 2015 J McCurry (4198_CR13) 2018 P Afèche (4198_CR1) 2023; 25 K M Wigand (4198_CR15) 2020 M Huang (4198_CR10) 2006; 6 A Siddiq (4198_CR14) 2022; 24 O Candogan (4198_CR6) 2023 D Freund (4198_CR9) 2022 K Bimpikis (4198_CR4) 2019; 67 C Courcoubetis (4198_CR8) 2023 J M Lasry (4198_CR11) 2007; 2 Z Lian (4198_CR12) 2023 A Braverman (4198_CR5) 2019; 67 F Castro (4198_CR7) 2024 S Benjaafar (4198_CR3) 2022; 68 |
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Title | The impact of ride-hailing in city transportation |
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