As of May 2026, European cities report that lower urban speed limits, often 30 km/h zones, correlate with fewer road deaths and injuries without major congestion deterioration. Urban leaders face challenges bridging mobility strategy and delivery, integrating safer streets, cleaner air, better access, local economies, and reliable journey times through measurement. Traffic monitoring requires more than snapshots; urban traffic varies by time and conditions. Ticon's methodology uses continuous observation across at least one year, covering over 97% of roads, using diverse data sources (detectors, GPS, connected vehicles, GIS, demographics) to estimate speeds, volumes, and flow indicators at fine spatial and temporal scales. Local mobility questions demand historical data with spatial detail and temporal depth, revealing how interventions affect delay, volume shifts, speeds by period, and delivery timing. Traditional data collection has limits in coverage and duration; Ticon uses engineering methods and multivariate analysis combined with big data to avoid biased volume estimates, ensuring accuracy within 20% error bounds. Speed alone doesn't capture street performance; Ticon links speed, volume, delay, and saturation for comprehensive views, using tools like dynamic maps and saturation heatmaps to compare before-and-after scenarios. Their 'street cardiogram' highlights consistent delay reductions as a success metric. COVID-19 revealed that reduced demand doesn't proportionally reduce delay due to factors like signal timing and driver behavior. This underscores the need for historical baselines and continuous monitoring to identify effective interventions beyond speed limits, including signal timing, turning phases, and delivery management, with up to 50% travel delay reduction achievable via signal optimization. Historical data aids cities by prioritizing interventions, designing targeted solutions based on peak patterns and constraints, and providing evidence for measured performance. Businesses also benefit, using detailed traffic analytics for site selection, sales projection, staffing, and adapting to changes from urban policies. Traffic monitoring is evolving into an integrated science combining maps, connected vehicles, GPS, demographics, traffic models, and business intelligence. Ticon supports high-resolution and fine temporal granularity analysis, essential for Vision Zero, climate goals, congestion reduction, and economic vitality, making historical traffic data the foundation for accurate, continuous, and actionable traffic evidence enabling precise mobility decisions and measurable improvements in safety, economy, and responsiveness.