DocumentCode :
735520
Title :
Analysis traffic safety for highway off-rampbased on visual reaction time on traffic signs
Author :
Lyu Nengchao ; Wu Chaozhong ; Fu Qiang
Author_Institution :
Intell. Transp. Syst. Res. Center, Wuhan Univ. of Technol., Wuhan, China
fYear :
2015
fDate :
25-28 June 2015
Firstpage :
235
Lastpage :
239
Abstract :
To ensure traffic safety of highway off-ramp area, it should leave enough reaction time for drivers taking corresponding actions after traffic signs. And the recognition time for traffic signs depends on information volume. In this study, traffic sign recognition process in highway off-ramp were analyzed and visual recognition time model was set up. Then, the information volume contained in traffic signs was calculated using the information theory, and the information was divided it into four grades. In order to analyze the recognition time for different information grades, a simulation driving experiment was implemented. 20 participants took part in this experiment and the time for four grades was obtained. An evaluation approached was proposed, which identifies the safety conditions of highway off-ramp into four levels according to the time ranges after recognition. The proposed traffic safety evaluation method may provide a new way to evaluate the safety for highway off-ramp for its intuitive, easy operation and reasonable, especially for setting traffic signs information volume.
Keywords :
driver information systems; object recognition; road safety; highway off-ramp area; highway off-rampbased; information grades; information theory; reaction time; recognition time; safety conditions; traffic safety analysis; traffic safety evaluation method; traffic sign information volume; traffic sign recognition process; visual reaction time; visual recognition time model; Cognition; Roads; Safety; Vehicles; Visualization; Information volume; Off-ramp; Recognition time; Safety; Traffic sign;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation Information and Safety (ICTIS), 2015 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4799-8693-4
Type :
conf
DOI :
10.1109/ICTIS.2015.7232209
Filename :
7232209
Link To Document :
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