Abstract
It is important to judge necessity of deceleration assistance as earlier as possible and initiate the assistance naturally in order to reduce rear-end crashes. On the other hand, we have derived a mathematical model of driver’s perceptual risk of proximity in car following situation and successfully derived driver deceleration model to describe deceleration patterns and brake initiation timing of expert driver. In this research, an deceleration assistance control for collision avoidance will be proposed based on the formulated braking behavior models of expert drivers to realize smooth, secure brake assistance. It will be shown that the proposed control method can generate smooth profile for various conditions. In addition, experimental results using a driving simulator will show validity of the proposed system based on subjective evaluation.
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Wada, T., Hiraoka, S., Doi, S. (2009). A Deceleration Assistance Control for Collision Avoidance Based on Driver’s Perceptual Risk. In: Xie, M., Xiong, Y., Xiong, C., Liu, H., Hu, Z. (eds) Intelligent Robotics and Applications. ICIRA 2009. Lecture Notes in Computer Science(), vol 5928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10817-4_21
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DOI: https://doi.org/10.1007/978-3-642-10817-4_21
Publisher Name: Springer, Berlin, Heidelberg
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