Transforming Traffic Management Industry to Generate over US$6 Billion in System Revenues by 2023

From a planning perspective, predictive traffic data and advanced AI-based analytics allow adopting preventive measures to avoid or at least reduce the worse instances of foreseeable congestion. Additionally, instruments like HOV lanes, intelligent traffic lights, congestion zones, and dynamic Road User Charging (RUC) allow either prioritizing or influencing traffic levels. Traffic data can also be used for long-term urban planning and design.

From a planning perspective, predictive traffic data and advanced AI-based analytics allow adopting preventive measures to avoid or at least reduce the worse instances of foreseeable congestion. Additionally, instruments like HOV lanes, intelligent traffic lights, congestion zones, and dynamic Road User Charging (RUC) allow either prioritizing or influencing traffic levels. Traffic data can also be used for long-term urban planning and design.

However, the inherent limitations of traffic management solutions in terms of their incremental and reactive nature can only be offset through long-term structural solutions, ranging from car sharing to smart parking and future driverless mobility.

These findings are from ABI Research's Intelligent Transportation Systems Market Forecast report. This report is part of the company's Intelligent Transportation and eFreight research service, which includes research, data, and Executive Foresights. 

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