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| Content Provider | IET Digital Library |
|---|---|
| Author | He, Yi Yan, Xinping Wu, Chaozhong Zhong, Ming Chu, Duanfeng Huang, Zhen Wang, Xu |
| 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. |
| Starting Page | 467 |
| Ending Page | 476 |
| Page Count | 10 |
| ISSN | 1751956X |
| Volume Number | 9 |
| e-ISSN | 17519578 |
| Issue Number | Issue 4, May (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-its/9/4 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-its.2014.0057 |
| Journal | IET Intelligent Transport Systems |
| Publisher Date | 2014-11-12 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Alarm System Auditory Speeding Warning Effectiveness Evaluation Auditory Speeding Warning System Automobile Manufacturers Beep Warning Behavioural Sciences Computing Break-sound Warning China Commercial Passenger Vehicle Future Voice-based Speed Warning System High Accident Rate Reduction Human Computer Interaction Mixed Traffic Condition Risky Driving Behaviour Social And Behavioural Sciences Computing Sound-based Speeding Warning Styles Speech And Audio Signal Processing Speech Processing Speech Processing Technique Speech-based User InterFace Speeding Behaviour Traffic Engineering Computing User InterFace Wuhan |
| Content Type | Text |
| Resource Type | Article |
| Subject | Law Transportation Environmental Science Mechanical Engineering |
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