Safety benefits of motorized seat belt as a component in ADAS in front-end collisions

This paper estimates the benefits of the motorized seat belt in ADAS in both safety and economic aspects. The motorized seat belt could reduce the forward displacement of occupants during brake, which could result in more severe injuries in frontal crashes. A MADYMO model is used to simulate the forward displacement of the driver during brake. Sled tests verify that drivers have higher injury risk in more forward displaced position. Statistics analysis is also conducted to have a comprehensive understanding of the effectiveness of the motorized seat belt. A nationally representative set of frontal collisions is studied as if the drivers having no avoidance maneuver are restrained in the nominal seating position. The results show that the injury number is reduced by 53,202 with the motorized seat belt. The method innovated in this paper can be employed to estimated benefits of other vehicle safety technologies.

[1]  Thao Dang,et al.  A flexible method for criticality assessment in driver assistance systems , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).

[2]  Nanning Zheng,et al.  Interactive Road Situation Analysis for Driver Assistance and Safety Warning Systems: Framework and Algorithms , 2007, IEEE Transactions on Intelligent Transportation Systems.

[3]  Hampton C. Gabler,et al.  Safety Benefits of Forward Collision Warning, Brake Assist, and Autonomous Braking Systems in Rear-End Collisions , 2012, IEEE Transactions on Intelligent Transportation Systems.

[4]  Per Lövsund,et al.  A Test-Rig for Parametric Studies of the Car Seat , 1993 .

[5]  Didier Aubert,et al.  Experimental Assessment of the RESCUE Collision-Mitigation System , 2007, IEEE Transactions on Vehicular Technology.

[6]  J. Versace A Review of the Severity Index , 1971 .

[7]  Harold J. Mertz,et al.  The Position of the United States Delegation to the ISO Working Group 6 on the Use of HIC in the Automotive Environment , 1985 .

[8]  Thomas Brandmeier,et al.  Criticality estimation of Pre-Crash scenarios , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[9]  Rongrong Fu,et al.  Automated Detection of Driver Fatigue Based on Entropy and Complexity Measures , 2014, IEEE Transactions on Intelligent Transportation Systems.

[10]  Erik G. Takhounts,et al.  DEVELOPMENT OF IMPROVED INJURY CRITERIA FOR THE ASSESSMENT OF ADVANCED AUTOMOTIVE RESTRAINT SYSTEMS - II , 1999 .

[11]  J. Goldberg Economic impact of motor vehicle crashes. , 2002, Annals of Emergency Medicine.

[12]  Hampton C. Gabler,et al.  Injury mitigation in the collision partners of pre-collision system equipped vehicles in rear-end collisions , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[13]  H. Horii Estimate modelling for assessing the safety performance of occupant restraint systems , 2013 .

[14]  Ted R. Miller,et al.  THE ECONOMIC IMPACT OF MOTOR VEHICLE CRASHES, 2000 , 2002 .

[15]  Janet Brelin-Fornari,et al.  Effect of Seat Belts Equipped with Pretensioners on Rear Seat Adult Occupants in High-Severity Rear Impact , 2008 .

[16]  Shih-Ken Chen,et al.  Developing a forward collision warning system simulation , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).