Speed limits in traffic emission models using multi-objective optimization

IF 2 3区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

Optimization and Engineering Pub Date : 2024-06-18 DOI:10.1007/s11081-024-09894-4

Simone Göttlich, Michael Herty, Alena Ulke

引用次数: 0

Abstract

Climate change compels a reduction of greenhouse gas emissions, yet vehicular traffic still contributes significantly to the emission of air pollutants. Hence, in this paper we focus on the optimization of traffic flow while simultaneously minimizing air pollution using speed limits as controllable parameters. We introduce a framework of traffic emission models to simulate the traffic dynamic as well as the production and spread of air pollutants. We formulate a multi-objective optimization problem for the optimization of multiple aspects of vehicular traffic. The results show that multi-objective optimization can be a valuable tool in traffic emission modeling as it allows to find optimal compromises between ecological and economic objectives.

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使用多目标优化的交通排放模型中的速度限制

气候变化迫使人们减少温室气体的排放，但车辆交通仍然对空气污染物的排放有很大影响。因此，在本文中，我们将重点放在交通流量的优化上，同时利用速度限制作为可控参数，最大限度地减少空气污染。我们引入了交通排放模型框架来模拟交通动态以及空气污染物的产生和扩散。我们提出了一个多目标优化问题，用于优化车辆交通的多个方面。结果表明，多目标优化是交通排放建模的重要工具，因为它可以在生态目标和经济目标之间找到最佳折中方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Optimization and Engineering 工程技术-工程：综合

CiteScore

4.80

自引率

14.30%

发文量

审稿时长

>12 weeks

期刊介绍： Optimization and Engineering is a multidisciplinary journal; its primary goal is to promote the application of optimization methods in the general area of engineering sciences. We expect submissions to OPTE not only to make a significant optimization contribution but also to impact a specific engineering application. Topics of Interest: -Optimization: All methods and algorithms of mathematical optimization, including blackbox and derivative-free optimization, continuous optimization, discrete optimization, global optimization, linear and conic optimization, multiobjective optimization, PDE-constrained optimization & control, and stochastic optimization. Numerical and implementation issues, optimization software, benchmarking, and case studies. -Engineering Sciences: Aerospace engineering, biomedical engineering, chemical & process engineering, civil, environmental, & architectural engineering, electrical engineering, financial engineering, geosciences, healthcare engineering, industrial & systems engineering, mechanical engineering & MDO, and robotics.