Consideration of Risks of Real-Time On-Demand Vehicle Operation and Verification of Methods for Safe-Driving

  • Tomoichi Ebata Systems Engineering, Hitachi, Ltd.
  • Masashi Imamura Systems Engineering, Hitachi, Ltd.
  • Satoru Hori Systems Engineering, Hitachi, Ltd.
  • Kei Suzuki Decarbonized Energy Hitachi, Ltd.
  • Ryo Ariyoshi Yokohama National University
Keywords: On-demand transportation service, Shared mobility, Supply and demand mediation, Hands-on simulation, Dissatisfaction, Outdoor experiment

Abstract

We study "Supply and Demand Mediation type Transportation Service", which takes emotions of the service provider and the service user into account, mediates them, and dynamically changes transportation route and schedule. In this paper, we conduct simple simulations of existing and proposed transportation service, and show that the proposed service gives users shorter service usage time than existing services, however, we also confirm that driver’s workloads of the proposed service increase. We remake and conduct a hands-on simulation of the proposed service, and clarify several operational problems of both the drivers and the users. The proposed service requires the driver to dynamically change routes in respond to the user requests, which are heavy burdens on the driver. In preparation for social implementations of the proposed service, we conduct an outdoor experiment on the campus of Yokohama National University. In this experiment, we implement two new routing methods and two reservation algorithms to reduce the driver's driving workloads and the user’s troublesome operations, and interview the drivers, the users and, the operators at vehicle operation centers about their effectiveness. In conclusion, we verify that the new methods and algorithms resolve the problem of the proposed service.

References

T. Ebata, S. Hori, K. Suzuki, K. Yano (2020), Proposal of Supply and Request Mediation type Transportation Service based on Dissatisfaction: 9th International Congress on Advanced Ap-plied Informatics

G. Bouladon (1967), The Transport Gaps, Science Journal April, Associated Iliffe Press, Lon-don, trid.trb.org

G. Bouladon (1970), Technological Forecasting Applied to Transport, Futures

Joseph P. Schwieterman, C. Scott Smith, Riley O'Neil (2017), Ground Transportation Gaps: The Most Heavily Traveled Intercity Routes Without Express Coach or Rail Passenger Ser-vice in the United States, Chaddick Institute for Metropolitan Development at DePaul Uni-versity Policy Series, Transportation Working Paper Series No. 82317

T. Knudsen (2004), Community-based Transportation Planning in the San Francisco Bay Area, APTA Bus & Paratransit & Bus Rapid Transit Conference proceedings, 2004 Denver, Colo-rado

David Ripplinger, J. Mielke(2007), City of Brookings: Transportation Gap Analysis & Rec-ommendations, Small Urban & Rural Transit Center, Upper Great Plains Transportation In-stitute, North Dakota State University, Fargo

Ilir Bejleri1, Soowoong Noh, Zongni Gu, Ruth L. Steiner, Sandra M. Winter (2018), Trans-portation Research Record: Journal of the Transportation Research Board, Volume: 2672 is-sue: 8, p649-661

Madani Larijani, M. , Nahornyi, T. , & Crizzle, A. M. (2019), Using GIS to examine trans-portation connectivity in Saskatchewan, The Journal of Rural and Community Development, 14(3), page 87-99

C. Jotin Khisty (2010), A systemic overview of non‐motorized transportation for developing countries: An agenda for action, Journal of Advanced Transportation Volume37, Issue3 Au-tumn (Fall), pages 273-293

Tomoichi Ebata, Kojin Yano, Yoshiyasu Takahashi, Tatsuhiro Sato (2019), An On-Demand Alternate Transportation Service System for Public Transportation using Real-Time Multi-agent Technology, Information Engineering Express, Vol. 5 No. 2 (2019): Published on No-vember 30, 2019, pages 109-119

Errico, F. , Crainic, T. G. , Malucelli, F. , & Nonato, M. (2013), A survey on planning semi-flexible transit systems: Methodological issues and a unifying framework. Transportation Re-search Part C: Emerging Technology

Clewlow, Regina R. , Mishra, Gouri S. (2017), Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States, UC Davis Institute of Trans-portation Studies, Research Report UCD-ITS-RR-17-07, p. 38

Charlotte Frei , Michael Hyland , Hani S. Mahmassanic (2017), Flexing service schedules: Assessing the potential for request-adaptive hybrid transit via a stated preference approach, Transportation Research Part C: Emerging Technologies, Volume 76, p. 71-89

Henao, Alejandro (2017), Impacts of Ridesourcing - Lyft and Uber - on Transportation Including VMT, Mode Replacement, Parking, and Travel Behavior, University of Colorado at Denver ProQuest Dissertations Publishing, 2017.10265243

Colin Murphy, Sharon Feigon (2016), Shared Mobility and the Transformation of Public Transit, https://doi.org/10.17226/23578

Feng Qiu, Jinxing Shen, Xuechi Zhang, Chengchuan An (2015), Demi-flexible operating policies to promote the performance of public transit in low-request areas, Transportation Re-search Part A: Policy and Practice, Volume 80, p. 215-230

OpenStreetMap's conceptual data model of the physical world, https://wiki.open-streetmap.org/wiki/Elements

Amazon Web Services (AWS)® is a trademark of Amazon.com, Inc.

SERENA® is a trademark of Nissan Motor Co. , Ltd.

iPad® is a registered trademark of Apple, Inc.

Bad Elf® is a registered trademark of Bad Elf, LLC.

Raspberry Pi® is a registered trademark or trademark of the Raspberry Pi Foundation.

Published
2023-04-13
Section
Technical Papers