基于城市交通网络均衡的共享停车容量优化

为研究共享停车容量优化分配对用户出行选择的影响,建立了双层规划模型,上层模型根据停车管理平台总收益与步行费用最小确定共享停车用地的最优停车容量,下层建立共享停车、普通停车与乘坐公交出行的多用户均衡分配模型,用于描述共享停车用户出行方式的选择,通过共享停车选择概率实现上、下层模型之间的联系;设计了相继平均算法求解下层模型,并内嵌于差分进化算法,进而求解上层模型. 对常州市金坛区CBD区域的部分路网进行模拟测试. 研究表明:在不同共享停车容量分配下,停车管理平台收益随着容量的增加呈先递增后减少的趋势,而用户的出行费用随着共享停车容量的增加呈先减少后上升的趋势,说明合理地分配共享停车容量可以实现停车管理平台收益与共享停车需求之间的均衡. 

Optimization of Shared Parking Capacity Based on Urban Traffic Network Equilibrium

In order to study the impact of optimal allocation of shared parking capacity on user travel choices, a two-level planning model is established. The upper model determines the optimal parking capacity of shared parking land based on the total revenue of the parking management platform and the minimum walking cost. The lower layer establishes a multi-user balanced allocation model of shared parking, ordinary parking and public transportation to describe the choice of shared parking users’ travel modes. The connection between the upper and lower models is realized through the shared parking selection probability. The successive average algorithm is designed to solve the lower model, and it is embedded in the differential evolution algorithm to solve the upper model. A simulation test is conducted on part of the road network in the CBD area of Jintan District, Changzhou City. The result show that under different shared parking capacity allocations, the revenue of the parking management platform increases with the increase of capacity and then decrease, while the user’s travel expenses decrease with the increase of capacity and then rising, which shows that reasonable allocation of shared parking capacity can achieve a balance between the revenue of the parking management platform and the demand for shared parking.