Škugor, Branimir and Deur, Joško (2016) Delivery vehicle fleet data collection, analysis and naturalistic driving cycles synthesis. = Delivery vehicle fleet data collection, analysis and naturalistic driving cycles synthesis. International Journal of Innovation and Sustainable Development, 10 (1). pp. 19-39. ISSN 1740-8822. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. . Točan broj autora: 2.
Full text not available from this repository.Abstract
The paper deals with experimental characterization 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 ten 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 optimization and controller design, as well as for design and verification of a vehicle fleet model aimed for various energy planning and smart charging studies.
Item Type: | Article (["eprint_fieldopt_article_type_article" not defined]) |
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Keywords (Croatian): | vehicle fleet, driving data collection, analysis, driving cycle, synthesis, electric vehicles, Markov chain, energy planning |
Subjects: | TECHNICAL SCIENCE > Mechanical Engineering |
Divisions: | 900 Department of Robotics and Production System Automation > 910 Chair of Engineering Automation |
Indexed in Web of Science: | Yes |
Indexed in Current Contents: | No |
Citations SCOPUS: | 6 (11.09.2018.) |
Date Deposited: | 19 Sep 2016 15:08 |
Last Modified: | 18 Oct 2018 11:24 |
URI: | http://repozitorij.fsb.hr/id/eprint/6393 |
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