A study on flow decomposition methods for scheduling of electric buses in public transport based on aggregated time–space network models
Crossref DOI link: https://doi.org/10.1007/s10100-020-00705-6
Published Online: 2020-08-27
Published Print: 2022-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Olsen, Nils
Kliewer, Natalia
Wolbeck, Lena
Funding for this research was provided by:
Deutsche Forschungsgemeinschaft (KL2152/5-1)
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Article History
First Online: 27 August 2020