Analysis on Operating Model of Station-Less Shared Traffic System Based on Genetic Algorithm

The station-less shared traffic system removes the restriction on rental and return at the predetermined stations. How to minimize the cost of vehicle maintenance and dispatch remains a big concern. This paper proposes a genetic algorithm based on the features of station-less shared traffic system to optimize the multi-objective problem to achieve minimized system deviation and cost, by redesigning coding method and fitness function. We took it into practice in the operation of smart cars in Zijingang Campus of Zhejiang University, making a schema which has the minimum deviation 6.2 and has at least 17.29% cost cut over other schemas having the same deviation.