个性化诱导下的居住区共享停车泊位分配模型

Parking Spaces Allocation Model of Residential Areas Sharing Parking Based on Personalized Guidance

针对停车资源有限条件下群体式停车诱导容易产生局部拥堵的问题,研究居住区参与的个性化共享停车服务模型.提出了个性化共享停车诱导服务策略,定义了居住区停车位共享管理指标,建立了居住区共享停车泊位分配模型.通过对高峰泊位空闲指数差异均值和驾驶员停车后步行距离目标的双重约束,在满足驾驶员停车选择目标的同时实现了停车资源的均衡有效利用.研究表明,个性化诱导方式下,居住区停车场利用自身泊位的闲置时间可以有效缓解周边建筑的停车吸引,减少局部停车拥挤,成为毗邻建筑的最佳共享停车合作伙伴.

In view of the local congestion caused by public parking guidance under the condition of limited parking resources, a personalized sharing parking guidance service model was proposed, with residential parking space joined. Personalized parking guidance strategy was discussed, several sharing parking indexes were defined, and then a bi-level design model of sharing parking guidance with residential joined was established. By controlling the mean value of unoccupied parking difference index in peak time and walking distance, the driver ’ s parking choice goal could be met and the balance and effective use of parking resources were achieved. The research shows that by the way of personalized parking guidance, the unoccupied time of residential parking lots can effectively alleviate the attraction of their adjacent buildings and the local parking congestion in peak time can be reduced. So the parking lots of residential areas will be the best sharing partner of the adjacent buildings in sharing parking.