• DocumentCode
    742404
  • Title

    Evaluation of the effectiveness of auditory speeding warnings for commercial passenger vehicles –a field study in Wuhan, China

  • Author

    Yi He ; Xinping Yan ; Chaozhong Wu ; Ming Zhong ; Duanfeng Chu ; Zhen Huang ; Xu Wang

  • Author_Institution
    Intell. Transp. Syst. Res. Center, Wuhan Univ. of Technol., Wuhan, China
  • Volume
    9
  • Issue
    4
  • fYear
    2015
  • Firstpage
    467
  • Lastpage
    476
  • Abstract
    Auditory warning of speeding behaviour is considered to be one of the most effective methods developed to reduce the accidents involving commercial passenger vehicles. Facing a complex, mixed traffic condition and a lot of risky driving behaviours in China, commercial passenger vehicles need an effective speeding warning system to reduce the high accident rate. Although many automobile manufacturers have installed the speeding warning systems on their vehicles, the styles of these auditory speeding warning systems are different, and few studies has been found to investigate the effectiveness of the auditory speeding warning systems for commercial passenger vehicles. Therefore this study is intent to fill such a gap to evaluate the effectiveness of three different sound-based speeding warning styles. In this study, thirty drivers qualified for driving the commercial passenger vehicles are recruited and then asked to drive for four 80-km field trips on an expressway in Wuhan, China. Driving behaviour is logged by a monitoring system and is monitored by two observers during these trips. Study results showed that `beep warning´ is most effective and `break-sound warning´ is the least. Basically, the results of this study could provide a good reference for development of future voice-based speed warning systems in China.
  • Keywords
    alarm systems; behavioural sciences computing; human computer interaction; speech processing; speech-based user interfaces; traffic engineering computing; China; Wuhan; auditory speeding warning effectiveness evaluation; auditory speeding warning systems; automobile manufacturers; beep warning; break-sound warning; commercial passenger vehicles; future voice-based speed warning systems; high accident rate reduction; mixed traffic condition; risky driving behaviours; sound-based speeding warning styles; speeding behaviour;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transport Systems, IET
  • Publisher
    iet
  • ISSN
    1751-956X
  • Type

    jour

  • DOI
    10.1049/iet-its.2014.0057
  • Filename
    7108336