Effect of Driver Energy Saving Awareness on Energy Consumption in a Microscopic Traffic Model
Road traffic significantly impacts global energy consumption and emissions, both of which contribute to climate change. Thus, energy conservation and emission reduction in road transportation are critical concerns, and traffic flow modeling is key to evaluating and improving these metrics. Therefore...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/15/12/551 |
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| author | Zawar Hussain Khan Faryal Ali Thomas Aaron Gulliver Ahmed B. Altamimi Mohammad Alsaffar Wilayat Khan |
| author_facet | Zawar Hussain Khan Faryal Ali Thomas Aaron Gulliver Ahmed B. Altamimi Mohammad Alsaffar Wilayat Khan |
| author_sort | Zawar Hussain Khan |
| collection | DOAJ |
| description | Road traffic significantly impacts global energy consumption and emissions, both of which contribute to climate change. Thus, energy conservation and emission reduction in road transportation are critical concerns, and traffic flow modeling is key to evaluating and improving these metrics. Therefore, this paper develops a microscopic traffic model to characterize energy consumption reflecting driver energy saving awareness. The well-known Intelligent Driver (ID) model cannot predict traffic dynamics within an energy saving driving environment because it is based on a fixed acceleration exponent. Simulation results are presented which demonstrate that the energy consumption in the proposed model decreases as driver energy saving awareness increases. Furthermore, traffic, in the proposed model, experiences smaller variations in flow, speed, acceleration, and density, higher speeds, and less congestion compared to the ID model. Thus, the proposed model can be employed to conserve energy and reduce emissions, thereby decreasing the overall carbon footprint of traffic and contributing to a more sustainable environment. |
| format | Article |
| id | doaj-art-cd35d483ff79419587c12bfacc565b5a |
| institution | DOAJ |
| issn | 2032-6653 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-cd35d483ff79419587c12bfacc565b5a2025-08-20T02:43:49ZengMDPI AGWorld Electric Vehicle Journal2032-66532024-11-01151255110.3390/wevj15120551Effect of Driver Energy Saving Awareness on Energy Consumption in a Microscopic Traffic ModelZawar Hussain Khan0Faryal Ali1Thomas Aaron Gulliver2Ahmed B. Altamimi3Mohammad Alsaffar4Wilayat Khan5College of Computer Science and Engineering, University of Ha’il, Ha’il 55476, Saudi ArabiaDepartment of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8W 2Y2, CanadaDepartment of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8W 2Y2, CanadaCollege of Computer Science and Engineering, University of Ha’il, Ha’il 55476, Saudi ArabiaCollege of Computer Science and Engineering, University of Ha’il, Ha’il 55476, Saudi ArabiaCollege of Computer Science and Engineering, University of Ha’il, Ha’il 55476, Saudi ArabiaRoad traffic significantly impacts global energy consumption and emissions, both of which contribute to climate change. Thus, energy conservation and emission reduction in road transportation are critical concerns, and traffic flow modeling is key to evaluating and improving these metrics. Therefore, this paper develops a microscopic traffic model to characterize energy consumption reflecting driver energy saving awareness. The well-known Intelligent Driver (ID) model cannot predict traffic dynamics within an energy saving driving environment because it is based on a fixed acceleration exponent. Simulation results are presented which demonstrate that the energy consumption in the proposed model decreases as driver energy saving awareness increases. Furthermore, traffic, in the proposed model, experiences smaller variations in flow, speed, acceleration, and density, higher speeds, and less congestion compared to the ID model. Thus, the proposed model can be employed to conserve energy and reduce emissions, thereby decreasing the overall carbon footprint of traffic and contributing to a more sustainable environment.https://www.mdpi.com/2032-6653/15/12/551energy crisismicroscopic modelingenergy consumptionenergy saving awareness |
| spellingShingle | Zawar Hussain Khan Faryal Ali Thomas Aaron Gulliver Ahmed B. Altamimi Mohammad Alsaffar Wilayat Khan Effect of Driver Energy Saving Awareness on Energy Consumption in a Microscopic Traffic Model World Electric Vehicle Journal energy crisis microscopic modeling energy consumption energy saving awareness |
| title | Effect of Driver Energy Saving Awareness on Energy Consumption in a Microscopic Traffic Model |
| title_full | Effect of Driver Energy Saving Awareness on Energy Consumption in a Microscopic Traffic Model |
| title_fullStr | Effect of Driver Energy Saving Awareness on Energy Consumption in a Microscopic Traffic Model |
| title_full_unstemmed | Effect of Driver Energy Saving Awareness on Energy Consumption in a Microscopic Traffic Model |
| title_short | Effect of Driver Energy Saving Awareness on Energy Consumption in a Microscopic Traffic Model |
| title_sort | effect of driver energy saving awareness on energy consumption in a microscopic traffic model |
| topic | energy crisis microscopic modeling energy consumption energy saving awareness |
| url | https://www.mdpi.com/2032-6653/15/12/551 |
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