Delivery vehicle fleet data collection, analysis and naturalistic driving cycles synthesis

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.
Official URL: https://www.inderscienceonline.com/doi/abs/10.1504...

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])
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

Actions (login required)

View Item View Item