Estimation of traffic emissions in a polycentric urban city based on a macroscopic approach

Yanqun Jiang, Zhongjun Ding, Jun Zhou, Peng Wu and Bokui Chen

Physica A: Statistical Mechanics and its Applications, 2022, vol. 602, issue C

Abstract: This paper presents a macroscopic dynamic modeling framework for road traffic emissions in an urban city that has numerous central business districts (CBDs). The framework combines a two-dimensional (2D) continuum dynamic traffic assignment (DTA) model that captures macroscopic features of traffic flow and a microscopic instantaneous emission model associated with the instantaneous speed and acceleration of traffic flow. A heterogeneous traveling population continuously distributed in space is classified according to the trip destinations chosen by travelers. Each copy of flow tends to select an optimal route with the minimum cost to destination by means of instantaneous traffic information. For each copy of flow, an unstructured finite volume method as well as a fast sweeping method is designed to solve the proposed model. In order to validate the feasibility of the model and algorithm, a case study is conducted as an example to study the macroscopic characteristics of traffic flow and predict traffic-related pollutants like NOx, VOC, CO2 and PM in urban areas.

Keywords: Macroscopic modeling approach; Traffic emissions; Continuum DTA model; Polycentric urban area; Finite volume method (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:602:y:2022:i:c:s0378437122002989

DOI: 10.1016/j.physa.2022.127391

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