Shortest Route * Bidirectional Search Algorithm for Predicting Shortest Routes in Traffic

Road traffic congestion is a pressing issue that plagues urban areas, causing delays, inefficiency, and environmental problems. Smart traffic management systems aim to tackle this problem by utilizing advanced Shortest route * Bidirectional Search algorithms. The Shortest route * bidirectional search algorithm(SRSBSA) in smart traffic systems is used to efficiently avoid road traffic congestion and find the shortest route to reach the destination. Simultaneously exploring the search space from both the starting point and the destination, the algorithm significantly reduces the computational effort required to find the optimal path. distance, driver behavior, estimated travel considers road, type of holiday, peak hours, tr flow, and road capacities, vehicle characteristics. It considers the characteristic road type, holiday typing one-way streets, turn road capacities, and d limits, to generate accurate and feasible route suggestions to determine the best shortest route. The algorithm leverages heuristic estimates and evaluates various route options to guide drivers toward the shortest route. Implementing the Shortest route * bidirectional Search algorithm in smart traffic produces the result in high accuracy level of 95%. This leads to improved travel time, increased transportation efficiency, and a more sustainable urban environment.