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Cited by 48Transportation and Mobility InnovationsTransportation Planning and OptimizationTraffic control and management

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Dynamic shared autonomous taxi system considering on-time arrival reliability

Liu, Zhiguang, Miwa, Tomio, Zeng, Weiliang, Bell, Michael G.H., Morikawa, Takayuki·2019·Transportation Research Part C: Emerging Technologies
DOI 10.1016/j.trc.2019.04.018
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Abstract

Abstract Dynamic shared autonomous taxi (SAT) systems are regarded as a promising means of improving travel flexibility. With no human drivers, SATs urgently require precise traffic information in order to plan accurate paths independently; in addition, on-time arrival is an essential service quality in SAT systems. In this study, taxis are assumed to be replaced with ride-sharing autonomous vehicles. To improve the probability of on-time arrival, the reliable path concept and collected travel time information are used to facilitate path finding for SATs, and the potential benefits are examined. Two simulation scenarios—one based on historical traffic information and the other based on real-time traffic information—are executed to evaluate the information’s usefulness in reliable path finding. In simulation results, reliable path scenarios showed a higher on-time arrival ratio than shortest path scenarios, in which the shortest path algorithm is used in path finding for SATs, and the historical information-based scenarios showed a higher on-time arrival ratio than the real-time information-based scenarios. A system-beneficial path finding method is proposed and is verified to be effective for mitigating road network congestion.

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Citations

Cites

Show all 60 references

Research works printed but not linked: 2

  1. Lioris, 2016, Dynamic evaluation and optimisation of an urban collective taxis system by discrete-event simulation, World Congr. Intell. Transp. Syst.
  2. Liu, 2018, An agent-based simulation model for shared autonomous taxi system, Asian Transp. Stud., 5, 1

Cited by

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Metadata

Authors
Liu, Z., Miwa, T., Zeng, W., Bell, M. G. H., & Morikawa, T.
Affiliations
  • Nagoya University (JP)
  • Institute of Materials and Systems for Sustainability, Nagoya University (JP)
  • Guangdong University of Technology (CN)
  • The University of Sydney (AU)
  • Institutes of Innovation for Future Society, Nagoya University (JP)
Corresponding author
Liu, Zhiguang
ORCID
Venue
Transportation Research Part C: Emerging Technologies
Publisher
Elsevier BV
Published
2019-06
Volume
103
Pages
281-297
ISSN
0968-090X (ISSN-L)
DOI
10.1016/j.trc.2019.04.018
OpenAlex
W2941854170
Cited by
48
References
60
Citations by year
2026: 5 · 2025: 1 · 2024: 5 · 2023: 11 · 2022: 5 · 2021: 13 · 2020: 6 · 2019: 2
FWCI
2.97
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Locations
Transportation Research Part C Emerging Technologies (publishedVersion)
Funders
  • JSPS KAKENHI (16H02367, 16K12825)
  • National Natural Science Foundation of China (61803100)
  • China Scholarship Council
Topics
  • Social Sciences › Transportation › Transportation and Mobility Innovations
  • Social Sciences › Transportation › Transportation Planning and Optimization
  • Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
Keywords
autonomous vehicles, ride-sharing, travel time information, real-time traffic information, shortest path, road network congestion, path planning

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CoChat. (2026). Citation check: Dynamic shared autonomous taxi system considering on-time arrival reliability. https://app.cochat.ai/papers/10.1016/j.trc.2019.04.018
The paper
Liu, Z., Miwa, T., Zeng, W., Bell, M. G. H., & Morikawa, T. (2019). Dynamic shared autonomous taxi system considering on-time arrival reliability. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2019.04.018

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.