A method of optimization for community bus transportation network

The policy and the introduction of community bus are increasing across the country in recent years. We propose the system to optimize community bus transportation network that esteemed the city area vitalization of the position and area of the welfare of the resident with this research. We do demand prediction and cost benefit analysis, to decide an optimal route network. So this study is used Genetic Algorithms (GA) in order to search for optimal solutions. We probe the validity of this system that adopt the real network by using traffic network of Nagano city.