4.3 Review

Review of shared online hailing and autonomous taxi services

期刊

TRANSPORTMETRICA B-TRANSPORT DYNAMICS
卷 11, 期 1, 页码 486-509

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/21680566.2022.2092231

关键词

Autonomous taxi; dispatching system; ridesharing service; Internet of vehicle

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With the advancement of autonomous vehicle technology, online hailing autonomous taxi system is considered to be one of the most popular public transportation services in the future. Recent studies have focused on demand forecasting, ride matching, path planning, relocation, and pricing strategy for shared online hailing and autonomous taxi services. This study conducted a survey based on 141 representative literatures from 1995 to 2022 to understand the latest developments in the key problems of operating autonomous taxi service. The study also discusses how emerging technologies such as internet of vehicles, big data, cloud and edge computing, and blockchain can enhance the autonomous taxi service, and identifies the current research challenges and public concerns or hurdles in adopting autonomous taxi services.
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.

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