Traffic Performance Assessment and Modeling Microscopic Characteristics on Urban Multilane Highways in Mosul City

Section: Research Paper
Issue
Vol. 30 No. 1 (2025): Volume 30 Issue 1
Published
Mar 1, 2025
Pages
186-196

Abstract

As the multilane highway system is a fundamental part of the urban highway network, it is essential for traffic engineers, planners, and policymakers to understand and evaluate the quality of service these facilities provide. The evaluation process was conducted using the US Highway Capacity Manual, employing Level of Service (LOS) concept. Additionally, traffic flow is significantly influenced by microscopic characteristics, making it crucial to model these characteristics for each highway lane. This modeling impacts both vehicular and driver behavior. This research aims to assess the (LOS) for five segments of multilane highways using (HCM) 2022 methodology. Additionally, modeling the relationships between speed, headway, and spacing. The results indicate a failure in the level of service in two of the studied segments, especially for projections seven years into the future. For speed-headway-spacing models, the coefficient of determination (R-square) and the chi-square test were used to evaluate the goodness of fit for the models, using SPSS. The findings showed no significant differences between the predicted and observed data, highlighting traffic characteristics of flow, speed, and density. These models can be utilized to identify various traffic parameters in future studies on the examined highways.

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Authors

Asmaa Majid Abdulrazzaq

Civil Engineering Department, College of Engineering, University of Mosul, Mosul, Iraq

ORCID
Mohammed Yasseen

Civil Engineering Department, College of Engineering, University of Mosul, Mosul, Iraq

Identifiers

https://doi.org/10.33899/arej.2025.152521.1367
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How to Cite

[1]
A. Majid Abdulrazzaq, اسماء, M. Yasseen, and محمد, “Traffic Performance Assessment and Modeling Microscopic Characteristics on Urban Multilane Highways in Mosul City”, AREJ, vol. 30, no. 1, pp. 186–196, Mar. 2025.
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