An AHP-Based Evaluating Model to Evaluate Intelligent Vehicle Detection Technologies in Street Parking Scenario

With more vehicle use in metropolitan cities, transportation departments worldwide must manage on-street parking. Recently, various street parking vehicle detection technologies have emerged to maintain parking availability in high demand areas. The authors introduce three detection technologies involving the structure, the operating mechanism, and the application scenario. They are a wireless magnetic sensor, single parking space-based video cameras, and multi-parking space-based video cameras. The authors propose a model to evaluate the application of technologies. In this model, they proposed eight criteria and an improved AHP method by optimizing computing objective matrix. The authors conducted an experiment to verify the model with a dataset from actual application in Beijing. The analytic result showed the model was robust and universal for evaluating application of street parking detection technologies. They also analyzed advantages and disadvantages of each technology. In conclusion, the authors summarized the evaluating model and proposed supporting policies and future ideal detection technologies.


  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 1410-1423
  • Monograph Title: CICTP 2018: Intelligence, Connectivity, and Mobility

Subject/Index Terms

Filing Info

  • Accession Number: 01867973
  • Record Type: Publication
  • ISBN: 9780784481523
  • Files: TRIS, ASCE
  • Created Date: Dec 19 2022 11:05AM