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
Link To Document :
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