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A prediction model for atmospheric pollution reduction from urban traffic
Environment and Planning B: Urban Analytics and City Science ( IF 3.511 ) Pub Date : 2021-06-01 , DOI: 10.1177/23998083211005776
Abdelfettah Laouzai 1, 2 , Rachid Ouafi 1
Affiliation  

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.



中文翻译:

城市交通大气污染减排预测模型

为了减少城市地区的大气污染,本文提出了一种增强的交通拥堵分析方法。考虑到交通分配问题中的附加约束,该方法被制定为双层优化程序。为了遵守所需的环保阈值约束,几个起点-目的地对之间的旅行需求分为两类:旧污染汽车和现代(较少)无污染汽车。优化条件验证了配方的有效性。讨论了两个网络示例来解释所建议技术的特性和优点。发现对于这两个示例,与普通用户均衡路由选择策略相比,所提出的最优解显示出更好的结果。因此,

更新日期:2021-06-01
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