The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Electric bus fleet size and mix problem with optimization of charging infrastructure
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Citations
Cites
Ageing mechanisms in lithium-ion batteries
Vetter, J., Novák, P., Wagner, M. R., Veit, C., Möller, K.-C., Besenhard, J. O., Winter, M., Wohlfahrt-Mehrens, M., Vogler, C., & Hammouche, A. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2005.01.006 · Cited by 3,987
Rapidly falling costs of battery packs for electric vehicles
Nykvist, B., & Nilsson, M. (2015) · Nature Climate Change · doi:10.1038/nclimate2564 · Cited by 1,819
Genetic Algorithms and Grouping Problems
Falkenauer, E. (1998) · Cited by 674
The Lithium/Air Battery: Still an Emerging System or a Practical Reality?
Grande, L., Paillard, E., Hassoun, J., Park, J., Lee, Y., Sun, Y., Passerini, S., & Scrosati, B. (2015) · Advanced Materials · doi:10.1002/adma.201403064 · Cited by 618
Routing a mixed fleet of electric and conventional vehicles
Goeke, D., & Schneider, M. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.01.049 · Cited by 607
The Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows and Recharging Stations
Hiermann, G., Puchinger, J., Ropke, S., & Hartl, R. F. (2016) · European Journal of Operational Research · doi:10.1016/j.ejor.2016.01.038 · Cited by 584
Genetic Algorithms and grouping problems
Nicholson, M. (1998) · Software: Practice and Experience · doi:10.1002/(sici)1097-024x(199808)28:10<1137::aid-spe192>3.0.co;2-4 · Cited by 542
Industrial aspects and literature survey: Fleet composition and routing
Hoff, A., Andersson, H., Christiansen, M., Hasle, G., & Løkketangen, A. (2010) · Computers & Operations Research · doi:10.1016/j.cor.2010.03.015 · Cited by 371
Pelletier, S., Jabali, O., & Laporte, G. (2016) · Transportation Science · doi:10.1287/trsc.2015.0646 · Cited by 314
Kunith, A., Mendelevitch, R., & Goehlich, D. (2017) · International Journal of Sustainable Transportation · doi:10.1080/15568318.2017.1310962 · Cited by 286
Cited by
Evaluating the technological evolution of battery electric buses: China as a case
Du, J., Li, F., Li, J., Wu, X., Song, Z., Zou, Y., & Ouyang, M. (2019) · Energy · doi:10.1016/j.energy.2019.03.084 · Cited by 70
Łebkowski, A. (2019) · Energies · doi:10.3390/en12050951 · Cited by 57
Electric bus fleet scheduling under travel time and energy consumption uncertainty
Avishan, F., Yanıkoğlu, İ., & Alwesabi, Y. (2023) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2023.104357 · Cited by 45
Cost-effective electric bus resource assignment based on optimized charging and decision robustness
Chen, Q., Niu, C., Tu, R., Li, T., Wang, A., & He, D. (2023) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2023.103724 · Cited by 29
Combining predictive and prescriptive techniques for optimizing electric vehicle fleet charging
Mahyari, E., Freeman, N., & Yavuz, M. (2023) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2023.104149 · Cited by 13
Metadata
- Authors
- Rogge, M., van der Hurk, E., Larsen, A., & Sauer, D. U.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2018-02
- Volume
- 211
- Pages
- 282-295
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2768783010
- Cited by
- 386
- References
- 32
- FWCI
- 6.04
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Electric bus fleet size and mix problem with optimization of charging infrastructure. https://app.cochat.ai/papers/10.1016/j.apenergy.2017.11.051
- The paper
- Rogge, M., van der Hurk, E., Larsen, A., & Sauer, D. U. (2018). Electric bus fleet size and mix problem with optimization of charging infrastructure. Applied Energy. https://doi.org/10.1016/j.apenergy.2017.11.051
Data sources
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.
