Real-Time Self-Adaptive Traffic Management System for Optimal Vehicular Navigation in Modern Cities

The increase in private car usage cities has led to limited knowledge and uncertainty about traffic flow. This results difficulties addressing congestion. study proposes a novel technique for dynamically calculating the shortest route based on costs of most optimal roads nodes using instances road graphs at different timeslots help minimize congestion actual drivers urban areas. first phase involved reducing one city. data were collected mobile application installed more than 10 taxi drivers’ phones, capturing timeslots. Based results, path was proposed each timeslot. effective To test effectiveness other cities, second extending another city self-adaptive system similarity approach regarding structures sub-regions two cities. showed that can be successfully applied with similar regulations. offers an innovative It leverages dynamic calculation utilizes optimize By implementing this approach, we improve journey times reduce fuel consumption, pollution, operating costs, which will contribute better quality life.