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Abstract:
Reasonable setting of tunnel traffic signs can alleviate the“spatial-temporal tunnel effect”caused by the special environment of tunnels to a certain extent. This paper studied the influence of traffic signs (speed limit signs and exit warning signs) on driving behavior in highway tunnels. Firstly, it selected long tunnels as experimental sections, obtained fine-grained microscopic behavioral data of drivers through driving simulator, and constructed a linear mixed effect model considering the influence of random effects to reveal the influence characteristics and mechanism of traffic signs on driving behavior in tunnels. The results show that: there are differences in the effects of traffic signs on driving behavior in different influence zones; installation of speed limit signs inside the tunnel can reduce the probability of accident risk to a certain extent and the repeated setting of speed limit signs can improve drivers’maneuvering ability to a certain extent; the setting of speed limit signs and exit distance warning signs inside the tunnel can help improve drivers’spatial control ability and driving comfort. Among them, the installation of tunnel exit distance warning signs in the impact zone of less than 1km from the tunnel exit helps to improve the driving comfort of drivers; the installation of tunnel exit distance warning signs in the impact zone of 2 km and 1. 5 km from the tunnel exit can improve the vehicle control ability and at the same time make drivers have a higher driving speed. In addition, driving behavior under the effect of tunnel traffic signs is influenced by driver’s gender, age, driving experience and other characteristic attributes, with male drivers having a lower driving risk. © 2023 South China University of Technology. All rights reserved.
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Journal of South China University of Technology (Natural Science)
ISSN: 1000-565X
Year: 2023
Issue: 4
Volume: 51
Page: 88-100
Cited Count:
SCOPUS Cited Count: 6
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 7
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