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EVALUATION OF ENVIRONMENTAL IMPACT OF TRAFFIC CONGESTION USING REMOTE SENSING: BAB AL-MUADHAM ZONE AS A CASE STUDY

Proceedings on Engineering Sciences | 2026

Paper Details

Authors: Al Soudani M.

DOI: 10.24874/PES08.01B.010

Journal: Proceedings on Engineering Sciences

Year: 2026

Publisher: Faculty of Engineering, University of Kragujevac

Document Type: Article

Open Access: All Open Access; Gold Open Access; Green Open Access

Cited by: 0

Abstract

In general, Baghdad city suffers from a principal problem which is traffic congestion. It has affected it in particular environmentally, healthily, urban and economically due to many reasons. Some of these reasons are the increase in urban growth of the population and the increase in the number of vehicles in it as a reality to meet the requirements of citizens. However, this growth was not accompanied by any development or modernization in the fact of the current road network, which led to an increase in the volumes of traffic flows for the roads. Consequently, the inability of these roads to meet the level of service for which they were designed to ensure the flow of traffic, thus leaving stifling traffic congestion. Bab Al-Muadham area was chosen as a case study because it suffered for many years from traffic congestion that affected its environmental reality. In this research, the factors causing traffic congestion and the resulting damages are addressed in order to lay hands on effective ways to solve this crisis. Field surveys and statistical studies were conducted to assess the real road performance relative to the actual traffic momentum. The amount of pollutant concentrations in the study area was measured using electronic sensors to assess its environmental and health conditions. Results obtained from empirical data were analyzed and discussed. The suggested solution also had a share in this study to address this region's real problem. © 2026 Published by Faculty of Engineeringg.

Keywords

Environmental impact; Pollution; Remote sensing; Traffic congestion; Traffic flow