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Infrastructure based approach for roadway departure risk assessment
Institution:2. Experimental Pathophysiology Program, School of Medicine, University of São Paulo, São Paulo, SP, Brazil;3. Federal University of Espírito Santo, Vitória, ES, Brazil;1. State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100083, China;2. State Key Laboratory of Marine Geology, Tongji University, Shanghai 200092, China;3. Institute of Geophysics and Planetary Physics, University of California, Santa Cruz, CA 95064, USA;4. Institute of Sedimentary Geology, Chengdu University of Technology, Chengdu 610059, China
Abstract:This paper presents a warning device to prevent the roadway departure of light vehicles while cornering. The proposed risk assessment methodology is based on recent works from the authors (Rey et al., 2011b,a; Rey, 2010). Given the random variability arising from the driver, the vehicle and the infrastructure at the entrance to the curve, a probabilistic strategy is adopted to assess the roadway departure risk. The infrastructure-based methodology enables the real curve characteristics to be considered and an alarm triggering decision to be made. Two safety criteria are tested and the potential safety benefits of the proposed warning device are evaluated. Contrary to existing roadway departure warning systems, the proposed approach does not require extra equipment for vehicles; it only requires that the measuring and warning devices be part of the road infrastructure, which is a great advantage in terms of economic cost.
Keywords:Roadway departure  Risk assessment  Dynamic warning system
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