%0 Journal Article
%T 停车场均衡利用博弈模型<br>Game Model for Balanced Use of Parking Lots
%A 段满珍
%A 陈光
%A 曹会云
%A 周户星&lt
%A br&gt
%A DUAN Manzhen
%A CHEN Guang
%A CAO Huiyun
%A ZHOU Huxing
%J 西南交通大学学报
%D 2017
%R 10.3969/j.issn.0258-2724.2017.04.021
%X 针对群体式诱导容易导致局部停车拥堵的问题，通过分析停车管理者和驾驶员之间的博弈关系，引入Stackelberg博弈理论，对二者的博弈关系进行微观描述，建立了服务于个性化停车诱导的停车场均衡利用模型.该模型考虑驾驶员停车后步行距离最小化，满足驾驶员停车感知效用最大的同时，通过对高峰泊位空闲指数差异均值的控制，实现高峰停车泊位资源的均衡利用，避免局部停车拥堵.通过对唐山市综合交通进行仿真，结果表明：通过博弈模型的控制，高峰停车泊位溢出指数最大值由原来的0.168降至0.127；高峰泊位空闲指数差异均值呈整体下降趋势；高峰停车拥堵时间缩短了70 min，停车泊位资源利用趋于均衡.<br>： To alleviate the local parking congestion problem caused by herding effect, a parking lots allocation model for individuation guidance was proposed using the Stackelberg game theory to describe the relationship between drivers and parking resources manager. In the model, the allocation plan strives for the minimum walking distance after parking and maximum perceived utility of drivers. By controlling the value of the mean parking unoccupied index difference (MPUID), the model realizes the balanced use of parking resources to avoid local congestions. To verify the validity of the proposed method, a case study was conducted to simulate the integrated traffic in Tangshan city. The results show that under the control of the model, the maximum peak parking spillover index (PPSI) decreases from 0.168 to 0.127, and the value of MPUID presents an overall downward trend. In addition, the congestion time in peak parking hours is shortened by 70 min, and the utilization of parking spaces tends to be balanced
%K 交通运输经济
%K 停车
%K 数学建模
%K Stackelberg策略
%K 停车选择
%K &lt
%K br&gt
%K transportation economy
%K parking
%K mathematical modeling
%K Stackelberg strategy
%K parking choice
%U http://manu19.magtech.com.cn/Jweb_xnjd/CN/abstract/abstract12471.shtml