Integrated Public Transportation System with Shared Autonomous Vehicles and Fixed-Route Transits: Dynamic Traffic Assignment-Based Model with Multi-Objective Optimization

International Journal of Intelligent Transportation Systems Research - Tập 21 Số 1 - Trang 99-114 - 2023
Ryota Maruyama1, Toru Seo1
1Tokyo Institute of Technology, 2-12-1-M1-13 Ookayama, Meguro-ku, Tokyo, 152-8552, Japan

Tóm tắt

AbstractThe shared autonomous vehicle (SAV) system is considered as an efficient transportation mode in the future. In the literature, optimization of SAV systems has been extensively studied. However, SAV systems could bring greater social benefits if we could use them with existing public transportation systems, such as bus rapid transit (BRT), in an integrated manner. This study proposes a model of SAV-BRT system, an integrated system that takes advantage of the flexibility of SAVs and the mass transport capability of BRT. The proposed model is based on a dynamic traffic assignment model so that it captures important features of SAV-BRT system, such as endogenous traffic congestion, detour and waiting of SAVs, BRT’s dynamic scheduling. The model is formulated as a multi-objective optimization problem so that trade-off relations regarding the system’s performance can be explicitly analyzed. The behavior of the model is investigated by conducting numerical experiments based on actual travel data obtained from an urban area in Japan. As a result, we confirmed that the model behaves reasonably, and several insights on SAV-BRT systems have been obtained.

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Tài liệu tham khảo

Agatz, N., Erera, A., Savelsbergh, M., Wang, X.: Optimization for dynamic ride-sharing: a review. Eur. J. Oper. Res. 223(2), 295–303 (2012)

Aiko, S., Itabashi, R., Seo, T., Kusakabe, T., Asakura, Y.: Social benefit of optimal ride-share transport with given travelers’ activity patterns. Transportation Research Procedia 27, 261–269 (2017)

Aiko, S., Thaithatkul, P., Asakura, Y.: Incorporating user preference into optimal vehicle routing problem of integrated sharing transport system. Asian Transport Studies 5(1), 98–116 (2018)

Docherty, I., Marsden, G., Anable, J.: The governance of smart mobility. Transp. Res. A Policy Pract. 115, 114–125 (2018)

Ehrgott, M.: Multicriteria Optimization. Springer-Verlag Berlin Heidelberg (2005)

Fagnant, D.J., Kockelman, K.M.: Dynamic ride-sharing and optimal fleet sizing for a system of shared autonomous vehicles. In: Transportation research board 94th annual meeting (2015)

Gurobi Optimization, LLC : Gurobi optimizer reference manual. http://www.gurobi.com (2020)

Gurumurthy, K.M., Kockelman, K.M., Zuniga-Garcia, N.: First-mile-last-mile collector-distributor system using shared autonomous mobility. Transportation Research Record: Journal of the Transportation Research Board 2674(10), 638–647 (2020)

Levin, M.W.: Congestion-aware system optimal route choice for shared autonomous vehicles. Transportation Research Part C: Emerging Technologies 82, 229–247 (2017)

Levin, M. W., Odell, M., Samarasena, S., Schwartz, A.: A linear program for optimal integration of shared autonomous vehicles with public transit. Transportation Research Part C: Emerging Technologies 109, 267–288 (2019)

Maruyama, R., Seo, T.: Dynamic user optimal model for shared autonomous vehicles system: development and systematic comparison with social optimal model. IEEE 25th International Conference on Intelligent Transportation Systems (2022)

Mitani, T., Thaithatkul, P., Kusakabe, T.: The method of arrangement of socio-economic data for the activity-based simulation. Proceedings of Infrastructure Planning, vol. 60. (in Japanese) (2019)

Narayanan, S., Chaniotakis, E., Antoniou, C.: Shared autonomous vehicle services: A comprehensive review. Transportation Research Part C: Emerging Technologies 111, 255–293 (2020)

Pinto, H.K., Hyland, M.F., Mahmassani, H.S., Verbas, I.O.: Joint design of multimodal transit networks and shared autonomous mobility fleets. Transportation Research Part C: Emerging Technologies 113, 2–20 (2020)

Regue, R., Masoud, N., Recker, W.: Car2work: shared mobility concept to connect commuters with workplaces. Transp. Res. Rec. 2542(1), 102–110 (2016)

Ruch, C., Lu, C., Sieber, L., Frazzoli, E.: Quantifying the efficiency of ride sharing. IEEE Transactions on Intelligent Transportation Systems (2020)

Seo, T., Asakura, Y.: Multi-objective linear optimization problem for strategic planning of shared autonomous vehicle operation and infrastructure design. IEEE Trans. Intell. Transp. Syst. 23, 3816–3828 (2022). https://doi.org/10.1109/TITS.2021.3071512

Shan, A., Hoang, N.H., An, K., Vu, H.L.: A framework for railway transit network design with first-mile shared autonomous vehicles. Transportation Research Part C: Emerging Technologies 130, 103223 (2021)

Sumitomo Electric System Solutions Co., Ltd.: The augmented national digital road map data base. https://www.seiss.co.jp/ms/gis/map_db.html (accessed 2022-05-18)

Tafreshian, A., Masoud, N., Yin, Y.: Frontiers in service science: ride matching for peer-to-peer ride sharing: a review and future directions. Serv. Sci. 12(2-3), 44–60 (2020)

Tokyo Metropolitan Area Transportation Planning Council: The sixth person trip survey in Tokyo Metropolitan Area. https://www.tokyo-pt.jp/special_6th (accessed 2022-05-18)

Tuzun, D., Burke, L.I.: A two-phase tabu search approach to the location routing problem. Eur. J. Oper. Res. 116(1), 87–99 (1999)

Vanderbeck, F., Savelsbergh, M.W.: A generic view of dantzig–wolfe decomposition in mixed integer programming. Oper. Res. Lett. 34(3), 296–306 (2006)

Wen, J., Chen, Y.X., Nassir, N., Zhao, J.: Transit-oriented autonomous vehicle operation with integrated demand-supply interaction. Transportation Research Part C: Emerging Technologies 97, 216–234 (2018)

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International Journal of Intelligent Transportation Systems Research

Tập 21 Số 1

99-114

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