Effective Evaluation on Urban road Collision Risk based on VANET
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초록
When maneuvering a vehicle on two-lane roads in the same lane direction, the possible risk is that the vehicle can exceed other vehicles. However, little attention has been paid to issuing a warning about unsafe driving behavior, particularly in the case where two vehicles are likely to collide. Our work is about to reduce the crime of traffic accidents in our daily lives, especially for dangerous driving behavior that leads to vehicle crash. This study provides a framework for estimating the collision risk using an RGB-D camera. We define security requirements for the VANET, which is an emerging vehicle network technology that provides safe driving warning service based on road situation information through inter-vehicle connection environments and the VANET attacker model. After using the two proposed methods, we found that our framework is effective to estimate collision risks. The trajectory prediction error is very low, which is unlikely to have a significant impact. and the proposed framework is effective in estimating the risk of collision. Keywords: Collision risk, RGB-D Camera, ARIMA, VANET Security and VANET atacker model.
Abstract
When maneuvering a vehicle on two-lane roads in the same lane direction, the possible risk is that the vehicle can exceed other vehicles. However, little attention has been paid to issuing a warning about unsafe driving behavior, particularly in the case where two vehicles are likely to collide. Our work is about to reduce the crime of traffic accidents in our daily lives, especially for dangerous driving behavior that leads to vehicle crash. This study provides a framework for estimating the collision risk using an RGB-D camera. We define security requirements for the VANET, which is an emerging vehicle network technology that provides safe driving warning service based on road situation information through inter-vehicle connection environments and the VANET attacker model. After using the two proposed methods, we found that our framework is effective to estimate collision risks. The trajectory prediction error is very low, which is unlikely to have a significant impact. and the proposed framework is effective in estimating the risk of collision. Keywords: Collision risk, RGB-D Camera, ARIMA, VANET Security and VANET atacker model.
참고문헌 (13)
- Cho Young-jun, "Security trends in VANET", 19(1), pp.134~142 (2009)
- Laapott, S, "Comparison of young male and female drivers’ attitude and self-reported traffic behaviour in finland in 1978 and 2001", J. Saf. Res, 34(5), pp.579~587 (2003)
- Patera, R.P, "General method for calculating satellite collision probability", J. Guid. Control. Dyn, 24(4), pp.716~722 (2001)
- Palmer, S. D., "System for collision prediction and traffic violation detection", US. Patent. App, 13(274), pp.476~ (2011)
- I. A. Sumra, "Classes of attacks in VANET", 2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC), pp.1~5 (2011)
- Deeksha, A. Kumar, "A review on VANET security attacks and their countermeasure", 20174th International Conference on Signal Processing, Computing and Control (ISPCC), pp.580~585 (2017)
- K. Sanzgiri, "Authenticated routing for ad hoc networks", IEEE Journal on Selected Areas in Communications, 23(3), pp.598~610 (2005)
- K. Sanzgiri, "A secure routing protocol for ad hoc networks", 10th IEEE International Conference on Network Protocols, Proceedings, pp.78~87 (2002)
- Hu, YC., "Ariadne: A Secure On-Demand Routing Protocol for Ad-Hoc Networks", Wireless Networks, 11(1-2), pp.21~38 (2005)
- Zhenyu Shan, "Vehicle collision risk estimation based on RGB-D camera for urban road", Multimedia Systems, 23(1), pp.119~127 (2017)
- M.bheshtifar, "Discussion And Review In Vanet", International Journal of Information, Security and Systms Management, 7(1) (2018)
- Vehicle Safety Communications Project, , ~, pp.DOT HS 810 591 (2006)
- Yusor Rafid Bahar Al-Mayouf, "Accident Management System Based on Vehicular Network for an Intelligent Transportation System in Urban Environments", Journal of Advanced Transportation, 2018, pp.11~ (2018)