考虑驾驶风格的停车场泊位分配优化方法

Parking Space Allocation Optimization Method Considering Driving Styles

摘要: 针对高峰期间停车场空余泊位数量紧张导致驾驶员难以寻找到符合心理预期的泊位的问题，以同一时段内进场车辆总损失函数值最小为优化目标，构建了考虑驾驶风格的泊位分配模型。分析影响泊位分配的因素，包括时间因素以及受出行目的影响的心理阻抗因素；通过聚类分析将驾驶风格分类，分析得出驾驶风格对分配因素影响的权重，并对权重系数进行灵敏度分析。并通过Vissim进行了仿真验证。算例分析结果显示：考虑驾驶风格的泊位分配方案相比于传统就近寻泊方案，总损失时间减少了22.4%。

Abstract: In response to the issue of drivers struggling to find parking spaces that meet their expectations due to the scarcity of available spots in parking lots during peak hours, a parking space allocation model was developed with the optimization goal of minimizing the total loss function value of vehicles entering the facility within the same time period. This model takes into account driving styles. Factors affecting parking space allocation were analyzed, including temporal elements and psychological resistance factors influenced by the purpose of the trip; driving styles were classified through cluster analysis, and the impact of driving styles on allocation factors was assessed to determine the weight of influence. Sensitivity analysis was conducted on the weight coefficients. And it was verified by Vissim. The case study results indicated that, compared to the traditional approach of seeking the nearest parking space, the parking space allocation scheme that considers driving styles reduced the total loss time by 22.4%.