The Frost & Sullivan white paper on intelligent traffic management outlines how AI and big data can reduce congestion, emissions, and safety risks in smart cities. By leveraging real-time and historical traffic insights, municipalities can optimize routes, implement congestion pricing, and support multimodal transport. Case studies include Amsterdam’s live monitoring, New York’s pricing models, Singapore’s integrated systems, and Oslo’s EV adoption. TomTom enables these initiatives with traffic data from 83+ countries, supporting predictive modeling and analytics for system integrators and planners to drive sustainable, efficient urban mobility.

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