Usability Analysis of Collision Avoidance System in Vehicle-to-Vehicle Communication Environment

Conventional intelligent vehicles have performance limitations owing to the short road and obstacle detection range of the installed sensors. In this study, to overcome this limitation, we tested the usability of a new conceptual autonomous emergency braking (AEB) system that employs vehicle-to-vehicle (V2V) communication technology in the existing AEB system. To this end, a radar sensor and a driving and communication environment constituting the AEB system were simulated; the simulation was then linked by applying vehicle dynamics and control logic. The simulation results show that the collision avoidance relaxation rate of V2V communication-based AEB system was reduced compared with that of existing vehicle-mounted-sensor-based system. Thus, a method that can lower the collision risk of the existing AEB system, which uses only a sensor cluster installed on the vehicle, is realized.

[1]  Om Prakash Verma,et al.  Simple Fuzzy Rule Based Edge Detection , 2013, J. Inf. Process. Syst..

[2]  William B. Dunbar,et al.  Cooperative driving: Beyond V2V as an ADAS sensor , 2012, 2012 IEEE Intelligent Vehicles Symposium.

[3]  Wolfgang Branz,et al.  Sensor Data Fusion for Active Safety Systems , 2010 .

[4]  Kees Wevers,et al.  ADAS applications for improving traffic safety , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[5]  Jihua Huang,et al.  A Low-Order DGPS-Based Vehicle Positioning System Under Urban Environment , 2006, IEEE/ASME Transactions on Mechatronics.

[6]  Chris Hedges,et al.  Overview and Use of SAE J2735 Message Sets for Commercial Vehicles , 2008 .

[7]  Ali Gökhan Yavuz,et al.  ETSI compliant GeoNetworking protocol layer implementation for IVC simulations , 2012, 2012 International Conference on Computer, Information and Telecommunication Systems (CITS).

[8]  Klaus C. J. Dietmayer,et al.  Situation Assessment of an Autonomous Emergency Brake for Arbitrary Vehicle-to-Vehicle Collision Scenarios , 2009, IEEE Transactions on Intelligent Transportation Systems.

[9]  Guizhen Yu,et al.  Vehicle collision warning system and collision detection algorithm based on vehicle infrastructure integration , 2011 .

[10]  Tao Zhang,et al.  Performance Evaluation of IEEE 802.15.4 for V2V Communication in VANET , 2013, 2013 International Conference on Computational and Information Sciences.

[11]  Fawzi Nashashibi,et al.  Real-time crash avoidance system on crossroads based on 802.11 devices and GPS receivers , 2006, 2006 IEEE Intelligent Transportation Systems Conference.

[12]  Weon Kim,et al.  A study on the satisfaction of Health Examination for National Health Insurance service -Target of medical examinee in Busan- , 2013 .

[13]  Mário Serafim Nunes,et al.  Performance evaluation of IEEE 802.11e , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[14]  Charles Desjardins,et al.  Cooperative Adaptive Cruise Control: A Reinforcement Learning Approach , 2011, IEEE Transactions on Intelligent Transportation Systems.