Title :
Test of Urban Road Traffic Facilities on the Driving Safety
Author :
Wang Fengyuan ; Xue Jing ; Song Ling
Author_Institution :
Sch. of Automobile & Commun., Qingdao Technol. Univ., Qingdao
Abstract :
About 87 percent of road traffic accidents in China resulted from the incident errors of automobile drivers. Many practical analyses showed that the unreasonable installation of road traffic facilities will influence the drivers with un-efficient or even wrong guidance which would induce accidents. The dynamic visual characteristics of drivers are most closely related to traffic accidents. The video recorders were used in the field tests, based on the characteristics of the drivers. The process of eye movement and the operations of slowdown and braking were recorded at the same time for different drivers on a selected typical road. Visual angle switch, reaction time, identified distance and the braking distance of drivers on different speeds were measured and analyzed. The environment condition, facilities and other traffic interruption to the driver were also recorded at the same time for analyzing the interruption and influence to drivers. The experiment results were analyzed with the traffic accident data on the road segment. The results indicated that the location, the amount and the form of reasonable facility installation which correspond to other urban traffic conditions are very important to suit the driverpsilas psychology and therefore to improve the driving safety.
Keywords :
human factors; psychology; road accidents; road safety; road traffic; traffic engineering computing; video signal processing; automobile driving safety; driver dynamic visual characteristics; driver psychology; road traffic accident; urban road traffic facility; video recording; Automobiles; Intelligent vehicles; Psychology; Road accidents; Road safety; Switches; Testing; Vehicle driving; Vehicle dynamics; Watches; Characteristics of the drivers; Driving security; Field tests; Traffic facilities; Video record;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.331