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author:

Tian, Li-Jun (Tian, Li-Jun.) [1] (Scholars:田丽君) | Liu, Hui-Nan (Liu, Hui-Nan.) [2] | Xu, Yan (Xu, Yan.) [3]

Indexed by:

EI Scopus PKU CSCD

Abstract:

With the coexistence shared autonomous vehicles(SAVs) and traditional vehicles, this paper studies how the SAV company optimizes its operating strategies with regards to different operational objectives and the influences on the commuters' travel mode choices. Provided that a certain number of solo commuters drive the traditional vehicles on the highway, and the other commuters without a car make travel mode choices between SAV and transit. This paper optimizes the operating strategies (i.e., the fare and capacity for SAVs) with the objectives changing from the total system cost or the net system benefit to the profit of the SAV company under the fixed demand and the elastic demand, respectively. The equilibrium mode-split flow, the optimal number of SAVs, the total system cost or the net system benefit, the profit for the company for SAVs, and other indicators are obtained. The equilibrium results are verified by a numerical example, and it is found that the monopoly SAV company always charges a higher fare and provides a smaller capacity. At the state of system optimum, the company for SAVs can't produce the positive profit and can only operate with the subsidy from the government. Copyright © 2020 by Science Press.

Keyword:

Autonomous vehicles Costs Profitability Systems engineering

Community:

  • [ 1 ] [Tian, Li-Jun]School of Economics and Management, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Liu, Hui-Nan]School of Economics and Management, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Xu, Yan]School of Statistics and Mathematics, Inner Mongolia University of Finance and Economics, Huhhot; 010070, China

Reprint 's Address:

  • 田丽君

    [tian, li-jun]school of economics and management, fuzhou university, fuzhou; 350116, china

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Source :

Journal of Transportation Systems Engineering and Information Technology

ISSN: 1009-6744

CN: 11-4520/U

Year: 2020

Issue: 3

Volume: 20

Page: 6-13

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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