• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 30 Issue 4
Jul.  2017
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Article Contents
DUAN Manzhen, CHEN Guang, CAO Huiyun, ZHOU Huxing. Game Model for Balanced Use of Parking Lots[J]. Journal of Southwest Jiaotong University, 2017, 30(4): 810-816. doi: 10.3969/j.issn.0258-2724.2017.04.021
Citation: DUAN Manzhen, CHEN Guang, CAO Huiyun, ZHOU Huxing. Game Model for Balanced Use of Parking Lots[J]. Journal of Southwest Jiaotong University, 2017, 30(4): 810-816. doi: 10.3969/j.issn.0258-2724.2017.04.021

Game Model for Balanced Use of Parking Lots

doi: 10.3969/j.issn.0258-2724.2017.04.021
  • Received Date: 03 Jan 2016
  • Publish Date: 25 Aug 2017
  • 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.

     

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