Driving cycle developments and their impacts on energy consumption of transportation

Hussam Achour, Abdul-Ghani Olabi

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

One of the most significant current discussions in climate change is around the issue of low carbon emission and its effect on human health. It is becoming increasingly difficult to ignore the transport share of world emissions. Recent developments in this field have heightened the need for Driving Cycle establishment in order to understand and reduce vehicle emissions. However, a major problem with this Driving Cycle characteristic is that it varies from one city to another due to the type of principle activities (industrial, agricultural) present. Therefore, individual testing is necessary for each region in order to establish a representative tool for Local Authorities to identify the air quality in terms of traffic emissions.
To date, there has been little discussion about Driving Cycle developments, so in this paper, experimental studies, which predict sufficient parameters in driving cycle modelling, were summarized in the literature review and gave comprehensive feedback to the field for further investigations. Subsequently,
the author presented a simple method for establishing the driving cycle, and estimating vehicle emission.
As COPERT software is one of the most commonly deployed tools in Europe, the methodology involved a formula that is being obtained from COPERT. Later this formula is being used in a program which makes use of bulk traffic movements and average vehicle speeds in order to estimate emissions. The combination
of On-board diagnostic data extraction incorporated in all modern passenger cars and program used to allow real world vehicular activities to be recorded, in order to better estimate the contribution of private cars to local emissions inventories. Representative driving cycles reflecting the real-world driving
conditions of two cities were proposed and estimated vehicle emissions were compared with measured results.
Original languageEnglish
Pages (from-to)1778-1788
Number of pages11
JournalJournal of Cleaner Production
Volume112
Early online date11 Aug 2015
DOIs
Publication statusPublished - 20 Jan 2016

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