Impact of Artificial Intelligence (AI) on Road Traffic Management in Lagos Metropolis, Nigeria
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Description
Artificial Intelligence techniques are gaining interest for traffic management due to their potential to provide real-time insights, predictive analytics, proactive decision-making, and optimization of traffic flow. These technologies have improved real-time traffic monitoring, congestion management, traffic signal control, public transportation systems, urban planning, and infrastructure development. The study utilized primary data from 160 pedestrians/drivers and 19 traffic agencies, using a stratified sampling technique and employing descriptive and inferential statistics.The study found a strong positive correlation between Artificial Intelligence-based traffic management strategies and improved traffic management, with 69.7% of the variability explained by these strategies. The study concluded that Artificial Intelligence-powered solutions enhance traffic management efficiency, reduce travel times, improve road safety, and mitigate environmental impacts. It recommended the government invest in developing and deploying Artificial Intelligence infrastructure for traffic management in Lagos Metropolis. Keywords: Artificial Intelligence, Road Traffic Management, traffic monitoring, congestion management