Evaluation of the effectiveness of auditory speeding warnings for commercial passenger vehicles –a field study in Wuhan, China
- Author(s): Yi He 1 ; Xinping Yan 1 ; Chaozhong Wu 1 ; Ming Zhong 1 ; Duanfeng Chu 1 ; Zhen Huang 1 ; Xu Wang 2
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View affiliations
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Affiliations:
1:
Intelligent Transport Systems Research Center, Wuhan University of Technology, Engineering Research Center for Transportation Safety, Ministry of Education, Heping Avenue #1040, Wuhan, 430063, People's Republic of China;
2: Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, Canada, T6G 2W2
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Affiliations:
1:
Intelligent Transport Systems Research Center, Wuhan University of Technology, Engineering Research Center for Transportation Safety, Ministry of Education, Heping Avenue #1040, Wuhan, 430063, People's Republic of China;
- Source:
Volume 9, Issue 4,
May 2015,
p.
467 – 476
DOI: 10.1049/iet-its.2014.0057 , Print ISSN 1751-956X, Online ISSN 1751-9578
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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.
Inspec keywords: human computer interaction; behavioural sciences computing; alarm systems; speech-based user interfaces; traffic engineering computing; speech processing
Other keywords: auditory speeding warning systems; beep warning; auditory speeding warning effectiveness evaluation; speeding behaviour; future voice-based speed warning systems; risky driving behaviours; sound-based speeding warning styles; high accident rate reduction; mixed traffic condition; commercial passenger vehicles; break-sound warning; Wuhan; automobile manufacturers; China
Subjects: User interfaces; Social and behavioural sciences computing; Speech processing techniques; Speech and audio signal processing; Traffic engineering computing
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