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Open AccessArticle

Effects of Vehicular Communication on Risk Assessment in Automated Driving Vehicles

1
Department of Mechanical Engineering, College of Engineering, Republic of Korea Naval Academy, Changwon-si 51704, Korea
2
Department of Computer Science, College of Natural Science, Republic of Korea Naval Academy, Changwon-si 51704, Korea
3
Department of Electronic Engineering, College of Convergence Technology, Korea National University of Transportation, Chungju-si 27469, Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(12), 2632; https://doi.org/10.3390/app8122632
Received: 6 December 2018 / Revised: 12 December 2018 / Accepted: 13 December 2018 / Published: 15 December 2018
(This article belongs to the Special Issue Unmanned Aerial Vehicles (UAVs))
This paper proposes a human-centered risk assessment algorithm designed to find the intervention moment of drive mode and active safety mode while monitoring threat vehicles ahead to overcome effects of vehicular communication on risk assessment in automated driving vehicle. Although a conventional radar system is known to be best fitted on-board ranging sensor in terms of longitudinal safety, it is generally not enough for a reliable automated driving because of sensing uncertainty of the traffic environments and incomplete perception results due to sensor limitations. This can be overcome by implementing vehicle-to-vehicle (V2V) communication which provides complementary source of target vehicle’s dynamic behavior. Using V2V communication with vehicle internal and surround information obtained from the on-board sensor system, future vehicle motion has been predicted. With accurately predicted motion of a remote vehicle, a collision risk and the automated drive mode are determined by incorporating human factor. Effects of the V2V communication on a human-centered risk assessment algorithm have been investigated through a safe triangle analysis. The computer simulation studies have been conducted in order to validate the performance of the proposed algorithm. It has been shown that the V2V communication with the proposed risk assessment algorithm allows a faster drive mode decision and active safety intervention moment. View Full-Text
Keywords: Active safety; vehicular communication; automated vehicle; drive mod decision Active safety; vehicular communication; automated vehicle; drive mod decision
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Shin, D.; Park, K.; Park, M. Effects of Vehicular Communication on Risk Assessment in Automated Driving Vehicles. Appl. Sci. 2018, 8, 2632.

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