Research on Traffic Guidance System in Underground Parking Lots Based on Visual Driving Adaptability

The unreasonable design of the traffic guidance system in the underground parking lot will lead to traffic congestion and traffic accidents to a certain extent. According to the authors' knowledge, there is little research on this topic. This study proposes a design method of traffic guidance system in the underground parking lot through studying of the visual driving environment and the driving adaptability in the underground parking lot considering three aspects: (1) the color choice of traffic guidance facilities; (2) the arrangement of the sign information; and, (3) the setting of the sign location. The effect of different patterns of traffic guidance system design was analyzed by a questionnaire survey and an experimental study on driving visibility and adaptability. It is found that the visual comfortableness of traffic signs with blue background color and white foreground color are the best, in which the information can be easily distinguished by the drivers. Through the questionnaire survey, a conclusion can be drawn that the visual comfortableness and visibility of drivers are best when the sign information is arranged in order of left, straight and right for the driving direction. In addition, the drivers can also recognize the exit information most easily to get out of the parking lot as soon as possible under this circumstance. Through analysis and calculation, the requirements to set the traffic signs and markings are concluded. Finally, results of this study have been applied to an underground parking lot of an urban complex. As a result, the operating efficiency and the driving safety of the underground parking lot is increased.


  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 2564-2575
  • Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems

Subject/Index Terms

Filing Info

  • Accession Number: 01531277
  • Record Type: Publication
  • ISBN: 9780784413623
  • Files: TRIS, ASCE
  • Created Date: Jul 2 2014 3:04PM