Time Series Relations Between Parking Garage Occupancy and Traffic Speed in Macroscopic Downtown Areas - A Data Driven Study

This paper investigates time-series correlations between macroscopic travel speed and parking garage occupancy in downtown area, using the real-time parking occupancy data via SFPark.org and travel speed data from HERE Maps for San Francisco downtown areas as a data-driven case study. This study significantly expands recent works on instantaneous correlations by incorporating variables as time series. The equivalency between the nonlinear regression with logistic curves and the single-node single hidden layer neural network is established. By testing time delay neural network models, this study investigates the time delay effects between macroscopic travel speed and parking garage occupancy. The performance of single-layer multi-nodes nonlinear auto-regressive with exogenous inputs neural network is evaluated, which suggests such types of time series neural networks can effectively forecast macroscopic travel speed by using travel speed and parking occupancy information with various forecasting delay tabs.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ABJ30 Standing Committee on Urban Transportation Data and Information Systems. Alternate title: Time-Series Relations Between Parking Garage Occupancy and Traffic Speed in Macroscopic Downtown Areas: A Data-Driven Study
• Authors:
  • Ma, Rui
  • Chen, Shenyang
  • Zhang, H Michael
  • 0000-0002-4647-3888
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: 3p

Subject/Index Terms

• TRT Terms: Case studies; Central business districts; Macroscopic traffic flow; Neural networks; Parking demand; Parking garages; Time series; Traffic congestion; Traffic data; Traffic delays; Traffic speed
• Identifier Terms: SFpark
• Geographic Terms: San Francisco (California)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01660488
• Record Type: Publication
• Report/Paper Numbers: 18-05879
• Files: TRIS, TRB, ATRI
• Created Date: Feb 20 2018 9:29AM