Abstract The adoption of Intelligent Transport Systems (ITS) enables better traffic coordination and data-driven planning. This study explored Intelligent Transport Systems (ITS) adoption in three megacities: Singapore, London, and Lagos, representing diverse urban and regional contexts in Asia, Europe, and Africa, respectively. Through an integrative form of literature review, the conceptualization and implementation of ITS across these cities were x-ray. While the study highlights global trends such as real-time traffic management, adaptive signal control, and integrated payment platforms, it particularly examines the emerging but uneven role of Artificial Intelligence (AI) in enhancing system responsiveness and predictive capabilities. It was revealed that while cities like Singapore and London have achieved high ITS maturity through integrated platforms and robust institutional frameworks, cities like Lagos that are situated in Africa are still in the early stages of deployment, facing infrastructural, institutional, and behavioural challenges. The study emphasizes the importance of context-sensitive strategies for developing cities, including phased deployment, public-private partnerships, and institutional capacity building. It concludes that while AI-enhanced ITS holds promise for addressing urban mobility challenges, its current application remains limited and requires further empirical investigation and policy support.
Adeniran et al. (Sat,) studied this question.