Urban congestion and street life quality have traditionally relied on city planning and street design, but navigation apps now emphasize travel time, impacting urban structures.
A new urban traffic management approach uses real-time data to identify and analyze traffic bottlenecks, aiming to improve flow and address contemporary urban challenges.
The proposed system combines insights from complex systems with urban planning, enabling dynamic traffic optimization and providing urban planners with innovative tools to enhance livability and equity in modern cities.
* A new forecasting method is developed to track the early stages of traffic jams, focusing on their growth and eventual dissipation based on real urban traffic-speed data.
* Findings reveal that traffic jams typically dissolve slower than they grow, and early growth rates are key indicators of their potential maximum size, enabling improved traffic control strategies.