Authors : Fun-Akpo Pere Kormane; Thankgod Ode; Captain Gospel Otto; Kemejika Ichechi Amadi-Oparaeli

Volume/Issue : Volume 11 - 2026, Issue 10 - October

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Google Scholar : https://tinyurl.com/yhe6dxvu

DOI : https://doi.org/10.38124/ijisrt/26Oct647

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : Traffic agencies in developing cities must manage recurrent congestion on networks where demand is concentrated on a few corridors and where independent alternative routes are scarce. This article examines what an optimised route-generation framework, in which machine learning supplies traffic-state predictions to an engineering cost and allocation process, implies for traffic control and management in Port Harcourt, Nigeria.

Keywords : Traffic Management; Traffic Control; Route Generation; Incident Management; Network Resilience; Bottleneck Corridors; Port Harcourt.

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