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http://bura.brunel.ac.uk/handle/2438/30144| Title: | Using natural driving experiments and Markov chains to develop realistic driving cycles |
| Authors: | Bishop, JDK Axon, CJ |
| Keywords: | driver characteristics;driving behaviour;drive cycle;driving metrics;fuel economy;Markov chain |
| Issue Date: | 9-Nov-2024 |
| Publisher: | Elsevier |
| Citation: | Bishop, J.D.K. and Axon, C.J. (2024) 'Using natural driving experiments and Markov chains to develop realistic driving cycles', Transportation Research Part D: Transport and Environment, 137, 104507, pp. 1 - 17. doi: 10.1016/j.trd.2024.104507. |
| Abstract: | The main purpose of driving cycles is to estimate accurately on-road fuel use and the associated emissions of greenhouse gases and other air pollutants by vehicles. Conventionally, driving cycles are developed using micro-trips, Markov chains, or hybrid approaches, with accuracy determined by comparing metrics of the candidate cycles with the observed data. Through a natural driving experiment, we suggest traffic and road topology have a dominant role in influencing individual driving styles, more so than driver age or gender, or vehicle characteristics. Using experimental data and a Markov chain approach, we make three contributions to driving cycle development. First, we identify a reduced set of 26 metrics which materially influence fuel economy. Second, we assess the trade-offs in accuracy between reproducing vehicle dynamics and fuel economy. Finally, we identify the impact of natural driving variability on the accuracy of candidate cycles. |
| Description: | Data availability: The data that has been used is confidential. |
| URI: | https://bura.brunel.ac.uk/handle/2438/30144 |
| DOI: | https://doi.org/10.1016/j.trd.2024.104507 |
| ISSN: | 1361-9209 |
| Other Identifiers: | ORCiD: Justin D.K. Bishop https://orcid.org/0000-0001-8939-5261 ORCiD: Colin Axon https://orcid.org/0000-0002-9429-8316 104507 |
| Appears in Collections: | Dept of Mechanical and Aerospace Engineering Research Papers Institute of Energy Futures |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license ( https://creativecommons.org/licenses/by/4.0/ ). | 8.49 MB | Adobe PDF | View/Open |
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