Generative AI is transforming traffic engineering, with Ticon leading the way using AI-driven, high-resolution analytics for mobility improvements. Traditional traffic counts cover less than 2% of the year, causing inaccuracies. Ticon's method uses continuous multisource data—GPS probes, sensors, satellite imagery—enabling precise corridor-level analysis and 100% temporal coverage for smarter intervention selection.
These tools allow municipalities to visualize traffic volumes and delays hourly, assess network utilization and Level of Service, prioritize improvements scientifically, and predict impacts of planned measures. This supports stakeholders in technical and financial decisions with evidence-based insights.
TrafficScope™ technology independently verifies improvements post-implementation using before-after analyses. A case study in Atlanta showed travel time efficiency gains of 3.12% daily, with peak hour improvements. This empirical validation guides future optimizations and investment targeting.
Ticon's approach has achieved up to 50% travel delay reduction via signal timing optimization, optimizes capital expenditure, and enhances communication with governments and communities about mobility investments and outcomes.
Ticon integrates AI and comprehensive data for predictive, transparent, and verifiable urban mobility management, enabling efficient, equitable, and future-ready traffic systems with proven ROI.
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