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

Authors: Branimir Škugor; Joško Deur

Addresses: Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, I. Lučića 5, HR-10002 Zagreb, Croatia ' Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, I. Lučića 5, HR-10002 Zagreb, Croatia

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.

DOI: 10.1504/IJISD.2016.073412

International Journal of Innovation and Sustainable Development, 2016 Vol.10 No.1, pp.19 - 39

Received: 07 Mar 2014
Accepted: 12 Nov 2014

Published online: 02 Dec 2015 *

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