Analysis of Bus Scheduling System Based on Genetic Algorithm

As urban transportation infrastructure development lags behind the rapid growth of traffic demands, urban traffic conditions continue to deteriorate, resulting in varying degrees of traffic congestion at major intersections and high-volume roads. Urban transportation has become a bottleneck restricting city development. The urban transportation system is an open complex system comprising road networks, vehicles, and management systems. Among various solutions, vehicle restriction policies have proven effective by increasing public transit ridership, making optimized bus scheduling crucial. Solving bus scheduling requires considering complex factors like passengers, vehicles, and road conditions, necessitating advanced technological approaches such as intelligent optimization algorithms.