Abstract：The development of urban slow traffic has been restricted by the problems such as the low turnover rate and the high scheduling cost in the process of shared bicycle operation. Aiming at the limitation of the assumptions of the current bicycle scheduling model, a transfer maximization strategy in the mode of shared economy was proposed. Based on the detailed analysis of the shared bicycle scheduling cost and related parameters, a shared bicycle scheduling model was established with the goal of minimizing the cost and maximizing the launch rate. The elite strategy and evolution operator were introduced to improve the genetic algorithm. The TOPSIS method was used to select the optimal route from the effective routes solved by the improved algorithm.A certain area in Beijing was selected for simulation analysis. The results show that the improved algorithm has good ability of searching for optimal solutions. Compared with the conventional scheduling model, the alternative scheduling routes are increased by 74.3%, and the average scheduling cost is further reduced by 18.3%.
2020, Vol. 39 
