 Delivery vehicle fleet data collection, analysis and naturalistic driving cycles synthesisBranimir Škugor and Joško Deur International Journal of Innovation and Sustainable Development, 2016, vol. 10, issue 1, 19-39 Abstract: The paper deals with experimental characterisation and analysis of an isolated delivery vehicle fleet system of a retail company. The on-vehicle data collection has been conducted for a fleet of 10 delivery vehicles running continuously over a three month period. Next, a wide statistical analysis of the collected data is presented, in order to provide a basis for future investigation of possible benefits of replacing the conventional vehicle fleet with a hypothetical one based on electric vehicles. Finally, the recorded large set of driving cycles is used for the purpose of stochastic-based synthesis and validation of a small number of representative driving cycles. Such naturalistic driving cycles can further be used for electric vehicle configuration optimisation and controller design, as well as for design and verification of a vehicle fleet model aimed for various energy planning and smart charging studies. Keywords: vehicle fleets; driving data collection; analysis; driving cycles; synthesis; electric vehicles; Markov chain; energy planning; delivery vehicles; retailing; configuration optimisation; controller design; smart charging. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisde:v:10:y:2016:i:1:p:19-39 Access Statistics for this article More articles in International Journal of Innovation and Sustainable Development from Inderscience Enterprises Ltd |
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