With the rapid progress of information and communication technologies (ICT), measures and policies targeting specific individuals rather than the public have become possible. Focusing on traffic safety measures, this study examines the effects of in-vehicle traffic warning information (IVTWI) on reducing driving risk, which is defined based on changes of driving speed. An ordered response probit model is used to represent driving risk by explicitly reflecting the influence of short-term memory and long-term driving experience. Based on data collected from an on-site driving experiment targeting a signalized intersection with limited signal visibility in Hiroshima City, Japan, the model estimation results showed that driving risk could be reduced by providing IVTWI in that the utility of this information gradually decreased up to 20 s after it was provided. However, IVTWI remained effective for 7.5 s. It was found that in an interactive traffic situation, the decay of information utility was faster than in a free-driving situation. This indicates that the timing and human–machine interface of IVTWI provision should be considered based on the degree of traffic congestion. Regarding the influence of driving experience on drivers’ short-term memory, the results showed that extensive driving experience improves drivers’ memory of IVTWI.
ICT-Based Traffic Safety Measures and Drivers’ Responses
Lect.Notes Mobility
2013-05-13
27 pages
Article/Chapter (Book)
Electronic Resource
English
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