The recent finding by the Texas A&M Transportation Institute that American commuters lost nearly eight full workdays to traffic congestion in 2024 highlights the growing economic and personal toll of traffic slowdowns. As urban travel habits change with hybrid work schedules, the critical question shifts from where congestion occurs to when it starts, how long it lasts, and the factors influencing these dynamics. Ticon's advanced traffic analytics provide essential insights for tackling these challenges effectively. Ticon's research during the COVID-19 pandemic revealed that while traffic volumes dropped significantly, congestion delays only decreased by about 60%, showing that congestion depends not just on volume but also on traffic management quality. Covering 97% of roads with high time resolution, Ticon captures precise traffic "cardiograms" to identify congestion onset times and duration across different days and segments. This granular data supports better decision-making for development and retail planning by focusing on specific congested hours rather than averages. Ticon's TrafficScope tool offers visualization and detailed matrices pinpointing congestion hotspots and timing. Traffic signal optimization using Ticon's data-driven methods, including multi-regime time-of-day operations and genetic algorithms, has demonstrated up to 50% reduction in travel delays under heavy traffic. A comprehensive before-after analysis also detects nuanced impacts, enabling swift recalibration in real-world smart corridor projects. Compared to traditional methods that sample minimal time, Ticon's platform provides nearly continuous traffic monitoring, capturing subtle slowdown patterns that last minutes and occur outside typical rush hours. This high temporal coverage supports accurate quantification and detection of variable congestion conditions. Strategically, this data benefits retailers in staff and promotion alignment, municipalities in focused traffic system deployment, and developers in timing openings or service activities. In conclusion, Ticon transforms raw congestion data into actionable strategies by emphasizing the temporal aspect of slowdowns. Businesses and cities adopting this evidence-based traffic management approach can reduce delays, economic losses, and adapt to evolving urban mobility demands.