Parking Spaces Dynamic Allocation Model in Complex Parking Lot

There are significant differences in the utilization efficiency of parking spaces in different spatial locations in the complex parking lots, which reduces the utilization efficiency of parking resources. In view of the above problem, a parking spaces supply-demand characteristics indexes system from the perspective of “parking space level” was constructed. The Metro City complex parking lot was taken as an example, the demand utilization characteristics of parking spaces in different spatial locations were analyzed, and the parking spaces utilization problems were judged accurately. On this basis, a parking spaces dynamic allocation model was constructed to improve the satisfaction of drivers and balance the parking spaces occupancy rate in different zones of parking lot. The parking spaces dynamic allocation simulation is written in C + +, the results show that after implementing parking spaces dynamic allocation, the difference of turnover number of parking zones A and B is reduced from 2.24 times to 0.03 times, the difference of total parking time of parking zones A and B is reduced from 1.31 hours to 0.52 hours, the difference of average parking time of parking zones A and B is reduced from 2.2 h to 0.17 h, and the average interval time of parking spaces is small and evenly distributed. It can be seen that the parking spaces dynamic allocation model can effectively improve the utilization efficiency of the overall parking spaces of the complex parking lot and drivers’ parking satisfaction.

• Record URL:
  https://annualmeeting.mytrb.org/OnlineProgram/Details/15899
• Supplemental Notes:
  • This paper was sponsored by TRB committee AEP60 Standing Committee on Transportation Demand Management.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Yang, Guang
  • Chen, Jun
  • Lu, Kuan
• Conference:
  • Transportation Research Board 100th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2021-1-5 to 2021-1-29
• Date: 2021

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 18p

Subject/Index Terms

• TRT Terms: Activity centers; Customer satisfaction; Facilities; Mathematical models; Parking demand; Parking duration; Parking lots; Resource allocation; Urban areas
• Geographic Terms: Shanghai (China)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01764345
• Record Type: Publication
• Report/Paper Numbers: TRBAM-21-03495
• Files: TRIS, TRB, ATRI
• Created Date: Feb 4 2021 11:00AM