The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations
Abstract
Driven by new laws and regulations concerning the emission of greenhouse gases, carriers are starting to use electric vehicles for last-mile deliveries. The limited battery capacities of these vehicles necessitate visits to recharging stations during delivery tours of industry-typical length, which have to be considered in the route planning to avoid inefficient vehicle routes with long detours. We introduce the electric vehicle-routing problem with time windows and recharging stations (E-VRPTW), which incorporates the possibility of recharging at any of the available stations using an appropriate recharging scheme. Furthermore, we consider limited vehicle freight capacities as well as customer time windows, which are the most important constraints in real-world logistics applications. As a solution method, we present a hybrid heuristic that combines a variable neighborhood search algorithm with a tabu search heuristic. Tests performed on newly designed instances for the E-VRPTW as well as on benchmark instances of related problems demonstrate the high performance of the heuristic proposed as well as the positive effect of the hybridization.
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Cites
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Cited by
Energy consumption estimation integrated into the Electric Vehicle Routing Problem
Basso, R., Kulcsár, B., Egardt, B., Lindroth, P., & Sanchez-Diaz, I. (2019) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2019.01.006 · Cited by 290
Xiao, Y., Zhang, Y., Kaku, I., Kang, R., & Pan, X. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111567 · Cited by 236
Genikomsakis, K. N., & Mitrentsis, G. (2017) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2016.10.014 · Cited by 156
The continuous pollution routing problem
Xiao, Y., Zuo, X., Huang, J., Konak, A., & Xu, Y. (2020) · Applied Mathematics and Computation · doi:10.1016/j.amc.2020.125072 · Cited by 90
Zhou, S., Qiu, Y., Zou, F., He, D., Yu, P., Du, J., Luo, X., Wang, C., Wu, Z., & Gu, W. (2020) · IEEE Access · doi:10.1109/access.2019.2958403 · Cited by 75
Metadata
- Authors
- Schneider, M., Stenger, A., & Goeke, D.
- Venue
- Transportation Science
- Published
- 2014-11
- Volume
- 48
- Issue
- 4
- Pages
- 500-520
- ISSN
- 0041-1655 (ISSN-L)
- 1526-5447
- OpenAlex
- W2094764575
- Cited by
- 1,312
- References
- 51
- FWCI
- 105.51
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.