AI Chat Paper
Discover the SciOpen Platform and Achieve Your Research Goals with Ease.
Search articles, authors, keywords, DOl and etc.
{{expandStatus?'Exit ':''}}Advanced Search
This study proposes a rebalancing method for a dockless e-micromobility sharing system, employing both trucks and users. Platform-owned trucks relocate and recharge e-micromobility vehicles using battery swapping technology. In addition, some users intending to rent an e-micromobility vehicle are offered incentives to end their trips in defined locations to assist with rebalancing. The integrated formulation of rebalancing and recharging accounts for each e-micromobility vehicle's characteristics, such as location and charge level. The problem is formulated as a mixed binary problem, which minimizes operational costs and total unmet demand while maximizing the system's profit. To solve the optimization problem, a Branch and Bound method is employed. Rebalancing decisions and routing plans of each truck are obtained by solving the optimization problem. We simulate an on-demand shared e-micromobility system with the proposed integrated rebalancing method and conduct numerical studies. The results indicate that the proposed method enhances system performance and user travel times.
Chen, J., Li, Z., Wang, W., Jiang, H., 2018. Evaluating bicycle-vehicle conflicts and delays on urban streets with bike lane and on-street parking. Transp. Lett. 10, 1–11.
Cheng, Y., Wang, J., Wang, Y., 2021. A user-based bike rebalancing strategy for free-floating bike sharing systems: a bidding model. Transport. Res. Part E Logist. Transp. Rev. 154, 102438.
Chu, J.C., Lin, H.C., Liao, F.Y., Yu, Y.H., 2022. Dynamic repositioning problem of dockless electric scooter sharing systems. Transp. Lett. 1–17.
Dell'Amico, M., Hadjicostantinou, E., Iori, M., Novellani, S., 2014. The bike sharing rebalancing problem: mathematical formulations and benchmark instances. Omega 45, 7–19.
Dell'Amico, M., Iori, M., Novellani, S., Subramanian, A., 2018. The bike sharing rebalancing problem with stochastic demands. Transp. Res. Part B Methodol. 118, 362–380.
Du, M., Cheng, L., Li, X., Tang, F., 2020. Static rebalancing optimization with considering the collection of malfunctioning bikes in free-floating bike sharing system. Transport. Res. Part E Logist. Transp. Rev. 141, 102012.
Ghosh, S., Varakantham, P., Adulyasak, Y., Jaillet, P., 2017. Dynamic repositioning to reduce lost demand in bike sharing systems. J. Artif. Intell. Res. 58, 387–430.
Gu, T., Xu, W., Shi, P., Wang, R., Kim, I., 2024. Taxi in competition with online car-hailing drivers: policy implication to operating strategies. Multimodal Transp 3, 100129.
Hu, H., Du, B., Liu, W., Perez, P., 2022. A joint optimization model for charger locating and electric bus charging scheduling considering opportunity fast charging and uncertainties. Transport. Res. C Emerg. Technol. 141, 103732.
Jiao, G., Ramezani, M., 2022. Incentivizing shared rides in e-hailing markets: dynamic discounting. Transport. Res. C Emerg. Technol. 144, 103879.
Jiao, G., Ramezani, M., 2024. A real-time cooperation mechanism in duopoly e-hailing markets. Transport. Res. C Emerg. Technol. 162, 104598.
Kazemzadeh, K., Ronchi, E., 2022. From bike to electric bike level-of-service. Transp. Lett. 42, 6–31.
Li, Y., Liu, Y., 2021. The static bike rebalancing problem with optimal user incentives. Transport. Res. Part E Logist. Transp. Rev. 146, 102216.
Li, Y., Szeto, W.Y., Long, J., Shui, C.S., 2016. A multiple type bike repositioning problem. Transp. Res. Part B Methodol. 90, 263–278.
Li, J., Wang, Q., Zhang, W., Shi, D., Qin, Z., 2021. Dynamic rebalancing dockless bike-sharing system based on station community discovery. IJCAI 4136–4143.
Liu, Y., Szeto, W.Y., Ho, S.C., 2018. A static free-floating bike repositioning problem with multiple heterogeneous vehicles, multiple depots, and multiple visits. Transport. Res. C Emerg. Technol. 92, 208–242.
Luo, H., Chahine, R., Gkritza, K., Cai, H., 2023. What motivates the use of shared mobility systems and their integration with public transit? Evidence from a choice experiment study. Transport. Res. C Emerg. Technol. 155, 104286.
Osorio, J., Lei, C., Ouyang, Y., 2021. Optimal rebalancing and on-board charging of shared electric scooters. Transp. Res. Part B Methodol. 147, 197–219.
Papazek, P., Kloimüllner, C., Hu, B., Raidl, G.R., 2014. Balancing bicycle sharing systems: an analysis of path relinking and recombination within a GRASP hybrid. Int. Conf. Parallel Problem Solving from Nature 792–801.
Raviv, T., Kolka, O., 2013. Optimal inventory management of a bike-sharing station. IIE Trans. 45, 1077–1093.
Stokkink, P., Geroliminis, N., 2021. Predictive user-based relocation through incentives in one-way car-sharing systems. Transp. Res. Part B Methodol. 149, 230–249.
Sun, L., Teunter, R.H., Hua, G., Wu, T., 2020. Taxi-hailing platforms: inform or assign drivers? Transp. Res. Part B Methodol. 142, 197–212.
Wang, Y., Szeto, W.Y., 2021. The dynamic bike repositioning problem with battery electric vehicles and multiple charging technologies. Transport. Res. C Emerg. Technol. 131, 103327.
Xu, M., Di, Y., Zhu, Z., Yang, H., Chen, X., 2022. Designing van-based mobile battery swapping and rebalancing services for dockless ebike-sharing systems based on the dueling double deep Q-network. Transport. Res. C Emerg. Technol. 138, 103620.
Xu, G., Xiang, T., Li, Y., Li, J., Guo, Q., 2022. A mixed rebalancing strategy in bike sharing systems. Eng. Optim. 54, 1160–1177.
Yang, Y., Ramezani, M., 2022. A learning method for real-time repositioning in E-hailing services. IEEE Trans. Intell. Transport. Syst. 24, 1644–1654.
Zhang, F., Liu, W., 2021. An economic analysis of integrating bike sharing service with metro systems. Transport. Res. Transport Environ. 99, 103008.
Zhang, J., Meng, M., David, Z.W., 2019. A dynamic pricing scheme with negative prices in dockless bike sharing systems. Transp. Res. Part B Methodol. 127, 201–224.
Zhou, Y., Lin, Z., Guan, R., Sheu, J.B., 2023. Dynamic battery swapping and rebalancing strategies for e-bike sharing systems. Transp. Res. Part B Methodol. 177, 102820.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
京公网安备11010802044758号