Review of shared online hailing and autonomous taxi services
Publication Type
Book Review
Publication Date
6-2022
Abstract
As the technology of autonomous vehicle develops, online hailing autonomous taxi system is regarded as one of the most popular public transportation services in the future. Studies related to demand forecasting, ride matching, path planning, relocation, and pricing strategy for shared online hailing and autonomous taxi services have emerged in recent years. In this study, we conducted a survey based on 141 representative literatures from 1995 to 2022 to understand the state-of-the-art of the key problems of operating autonomous taxi service. First, a comprehensive review of the components of the shared autonomous taxi modelling is presented. Then, how the emerging technologies such as internet of vehicles, big data, cloud and edge computing, and blockchain can be used to enhance the autonomous taxi service is discussed. Last, the current research challenges and the concern or hurdle in public's adoption of autonomous taxi services are identified.
Keywords
Autonomous taxi, dispatching system, ridesharing service, Internet of vehicle
Discipline
Databases and Information Systems | Transportation
Research Areas
Intelligent Systems and Optimization
Publication
Transportmetrica B: Transport Dynamics
Volume
11
Issue
1
First Page
486
Last Page
509
ISSN
2168-0566
Identifier
10.1080/21680566.2022.2092231
Publisher
Taylor and Francis Group
Citation
ZENG, Weiliang; WU, Miaosen; CHEN, Peng; CAO, Zhiguang; and XIE, Shengli.
Review of shared online hailing and autonomous taxi services. (2022). Transportmetrica B: Transport Dynamics. 11, (1), 486-509.
Available at: https://ink.library.smu.edu.sg/sis_research/8153
Copyright Owner and License
Authors
Additional URL
https://doi.org/10.1080/21680566.2022.2092231