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https://doi.org/10.2139/ssrn.5...
Article . 2025 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.2139/ssrn.5...
Article . 2025 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.2139/ssrn.5...
Article . 2025 . Peer-reviewed
Data sources: Crossref
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The Influences of Macroscopic Modeling of Traffic Dynamics in Urban Road Segments Considering Side Friction Influences: A Case Study

Authors: Edwin Mararo Lekariap; Zachary C. Abiero Gariy; Timothy Nyomboi;

The Influences of Macroscopic Modeling of Traffic Dynamics in Urban Road Segments Considering Side Friction Influences: A Case Study

Abstract

Urban road networks are essential arteries of modern cities, facilitating the movement of people and goods. However, efficient traffic flow management in urban areas remains a critical challenge, often compounded by factors like side friction. This research article presents a comprehensive macroscopic modeling approach to understand and incorporate the effects of side friction on traffic flow in the context of Nakuru City, Kenya. Nakuru City, like many growing urban centres, grapples with traffic congestion and associated issues, demanding innovative solutions for sustainable urban mobility. Side friction, a multifaceted factor influenced by various urban elements such as parked vehicles, pedestrian activities, and roadside infrastructure, significantly impacts traffic flow dynamics. This study employed a macroscopic modeling framework to capture the complex interplay between traffic flow and side friction in Nakuru City's road links. Through extensive data collection and analysis, coupled with advanced traffic modeling techniques, the research developed a nuanced understanding of how side friction affects traffic flow patterns.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold