Parking spaces allocation model of residential areas sharing parking based on personalized guidance

被引：2
作者：
Duan M.-Z. [1 ,2 ]
Yang Z.-S. [1 ]
Zhang L. [2 ]
Tian X.-J. [1 ]
机构：
[1] School of Transportation, Jilin University, Changchun
[2] School of Civil and Architectural Engineering, North China University of Science and Technology, Tangshan
来源：
Dongbei Daxue Xuebao/Journal of Northeastern University | 2017年 / 38卷 / 02期
关键词：
Bi-level design; Parking; Personalized parking guidance; Residential area; Sharing parking; Urban traffic;
D O I：
10.3969/j.issn.1005-3026.2017.02.005
中图分类号：
学科分类号：
摘要：
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. © 2017, Editorial Department of Journal of Northeastern University. All right reserved.
引用
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页码：174 / 179
页数：5
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