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Forecasting Urban Traffic Congestion using Bayesian-Driven Models · Peerford

Article · Journal · 2026

Forecasting Urban Traffic Congestion using Bayesian-Driven Models

Akeke MU, Fidelis Onyebuchi Okafor, Nnaji CC, Chijioke Christopher Ikeagwuani

Indian Journal of Engineering

Open access · Hybrid
World top 10%
International · 2 countries

Read it 10.54905/disssi.v23i59.e6ije1714

Citations: 1from other works
Field-weighted impact: 3.351.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 4from 2 institutions

Authors

4 authors across 2 institutions in 2 countries

Akeke MUFirst author
- University of Nigeria (NG)
Fidelis Onyebuchi Okafor
- University of Nigeria (NG)
as printed: Okafor FO
Nnaji CC
- University of Johannesburg (ZA)
- University of Nigeria (NG)
Chijioke Christopher IkeagwuaniSenior author
as printed: Ikeagwuani CC

Development goals

11Sustainable cities and communities

Countries on it

Nigeria
South Africa

Fields

A work can sit in several, each with a score

Traffic Prediction and Management TechniquesTopic
Transportation Planning and OptimizationTopic
Forecasting Techniques and ApplicationsTopic