Data Collection and Data Management Approach for Developing a Driving Cycle: A Review

Authors

  • Nurru Anida Ibrahim Department of Electronics and Instrumentation, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia
  • Arunkumar Subramaniam Department of Electronics and Instrumentation, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia
  • Siti Norbakyah Jabar Department of Electronics and Instrumentation, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia
  • Salisa Abdul Rahman Department of Electronics and Instrumentation, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia

DOI:

https://doi.org/10.37934/araset.46.1.3949

Keywords:

Driving cycle, Hybrid electric vehicles, Emissions, Fuel consumption, Micro-trip, Driving behaviours

Abstract

Driving cycles were first proposed and developed for standard emission measurements used by legislative bodies to approve newly developed vehicles. There are many driving cycles that have been developed over the past few years. Most of the research on driving cycles is based on the condition of the vehicle in a specific location, such as the United States FTP75, European ECE 15, Japan 10115, and others. A driving cycle is a representative speed-time profile that reflects the typical driving pattern of a given city or region. A driving cycle consists of a sequence of vehicle operating conditions (idle, acceleration, cruise, and deceleration). The basic methodologies to construct a driving cycle are route selection, data collection, and the development of the driving cycle. However, as far as we know, detailed reviews and in-depth discussions of data collection instruments and data management are rarely present. As a result, this paper reviews and discusses the recent data collection approach, as well as providing a thorough analysis of the mechanisms that they employ. Furthermore, the disadvantages and advantages of the reviewed mechanisms have also been discussed.

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Author Biographies

Nurru Anida Ibrahim, Department of Electronics and Instrumentation, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia

P4620@pps.umt.edu.my

Arunkumar Subramaniam, Department of Electronics and Instrumentation, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia

P4374@pps.umt.edu.my

Siti Norbakyah Jabar, Department of Electronics and Instrumentation, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia

bakyahjabar@umt.edu.my

Salisa Abdul Rahman, Department of Electronics and Instrumentation, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia

salisa@umt.edu.my

Published

2024-04-26

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