A prediction model for atmospheric pollution reduction from urban traffic
In order to reduce the atmospheric pollution in urban areas, an enhanced approach is proposed in this paper for the traffic congestion analysis. The approach is formulated as bi-level optimization program considering additional constraints in the traffic assignment problem. To respect the required eco-friendly threshold constraint, the travel demand between several origin–destination pairs was categorized in two classes: old polluting cars and modern (less) nonpolluting cars. The validity of the formulation was verified by optimality conditions. Two network examples are discussed to explain the properties and advantages of the suggested technique. It is found that for the both examples, the proposed optimal solution displays better results as compared to the common user equilibrium route choice policies. As a result, the enhanced approach leads to traffic network congestion relief with minimum air pollution and maximum use of routes network.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23998083
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Supplemental Notes:
- © The Author(s) 2021.
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Authors:
- Laouzai, Abdelfettah
- Ouafi, Rachid
- Publication Date: 2022-2
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 566-584
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Serial:
- Environment and Planning B: Urban Analytics and City Science
- Volume: 49
- Issue Number: 2
- Publisher: Sage Publications Limited
- ISSN: 2399-8083
- EISSN: 2399-8091
- Serial URL: http://journals.sagepub.com/home/epb
Subject/Index Terms
- TRT Terms: Air pollution; Exhaust gases; Optimization; Predictive models; Traffic congestion; Urban areas
- Subject Areas: Environment; Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01839945
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 24 2022 5:26PM