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http://hdl.handle.net/1942/33679
Title: | Assessment of the Traffic Enforcement Strategies Impact on Emission Reduction and Air Quality | Authors: | EL HANSALI, Youssef FARRAG, Siham Malik, Haroon YASAR, Ansar Shakshuki, Elhadi AL ABRI, Khalid |
Editors: | Shakshuki, E Yasar, A |
Issue Date: | 2021 | Publisher: | ELSEVIER SCIENCE BV | Source: | Shakshuki, E; Yasar, A; 12TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 4TH INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS-volume 184, ELSEVIER SCIENCE BV, p. 549 -556 | Series/Report: | Procedia Computer Science | Abstract: | The World Health Organization (WHO) reported that globally 3.7 million deaths were attributable to ambient air pollution (AAP) in 2012. Traffic congestion is one of the significant sources of air pollutants Intelligent Transportation Systems (ITS) are advanced technologies that have been used widely in large cities. They have a potential impact on reducing traffic congestion and then improving environmental quality. Many countries have targeted urban policy traffic enforcement strategies that are ITSbased on improving traffic emission and air quality. Because each strategy has a different impact level, the strategy that positively impacts location and traffic conditions might negatively impact under different conditions. Also, the authorities that take the decision which strategies could be implemented. Therefore, this paper aims to evaluate the potential impact of traffic enforcement strategies on reducing traffic emissions and improving air quality. In our study, three typical traffic enforcement strategies were evaluated: a traffic management regulation for speed limit changes, route changing, and fleet composition changes. The impact of these strategies on air quality was evaluated through evaluating the traffic air quality changes brought by these strategies against a baseline (Base Case) scenario. The results indicate that the impact of these strategies on increasing environmental quality is not always positive. The reduction of CO was the highest in the speed restriction scenario (25.6%) than other scenarios. While reducing the reduction of PM10 was less in speed restriction scenario (25.6%) than other scenarios. The findings can help the decision makers implement the best strategy to reduce traffic emission under different situations. | Keywords: | Intelligent Transportation Systems;Traffic Congestion;Environmental Quality;Large Cities | Document URI: | http://hdl.handle.net/1942/33679 | ISSN: | 1877-0509 | DOI: | 10.1016/j.procs.2021.03.068 | ISI #: | 000672800000068 | Rights: | 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
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1-s20-S1877050921007006-main.pdf | Published version | 672.82 kB | Adobe PDF | View/Open |
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