Classification of driver-assistance systems according to their impact on road safety and traffic efficiency

The aim was to examine driver-assistance systems that seem to have a considerable potential for road safety and traffic efficiency improvement, and to propose an impact-oriented classification of these systems. A broad overview of a series of driver-assistance systems under development or in some cases already available is presented and it identifies the basic characteristics of each system and its expected impact on traffic efficiency and road safety. The latter is assessed on the basis of appropriate evaluation criteria. Expert judgement and literature evidence available are used in this context. This impact approach, in contrast with the usually adopted user or system-oriented approaches, allows for more appropriate identification of the priorities in the field of future research, development and promotion of driver-assistance systems. The proposed classification allocates the driver-assistance systems in four different categories on the basis of whether traffic efficiency and safety impact are high or low. This categorization reveals that 40% of the systems considered are expected to have a high safety and low traffic-efficiency impact, while only 15% is expected to have both impacts high.

[1]  S. Sternberg.  The discovery of processing stages , 1969 .

[2]  Barbara E. Sabey,et al.  The Known Risks We Run: The Highway , 1980 .

[3]  John A. Michon,et al.  A critical view of driver behavior models: What do we know , 1985 .

[4]  Peter Bonsall,et al.  USING AN INTERACTIVE ROUTE-CHOICE SIMULATOR TO INVESTIGATE DRIVERS' COMPLIANCE WITH ROUTE GUIDANCE ADVICE , 1991 .

[5]  Peter Martin.  Autonomous Intelligent Cruise Control Incorporating Automatic Braking , 1993 .

[6]  P. Carrea,et al.  Integration Between Anticollision And AICC Functions The ALERT Project , 1993, Proceedings of the Intelligent Vehicles '93 Symposium.

[7]  F. Castanie,et al.  Parametric spectrum analysis for target characterization , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.

[8]  Randy B Machemehl,et al.  Electronic toll collection systems , 1995 .

[9]  P. Ganci,et al.  A forward looking automotive radar sensor , 1995, Proceedings of the Intelligent Vehicles '95. Symposium.

[10]  W. Riley Garrott,et al.  HUMAN FACTORS EVALUATION OF EXISTING SIDE COLLISION AVOIDANCE SYSTEM DRIVER INTERFACES , 1995 .

[11]  J. D. Woll.  Monopulse Doppler radar for vehicle applications , 1995, Proceedings of the Intelligent Vehicles '95. Symposium.

[12]  J L Benson,et al.  IMPLEMENTING A MAYDAY SYSTEM: INSTITUTIONAL ISSUES AND PROTOCOLS INVOLVED IN IMPLEMENTING VEHICLE MAYDAY TECHNOLOGIES , 1996 .

[13]  T. Butsuen,et al.  Introduction of the Mazda Advanced Safety Vehicle , 1996, Proceedings of Conference on Intelligent Vehicles.

[14]  S K Young.  COLLISION AVOIDANCE SYSTEM PERFORMANCE SPECIFICATION FOR LANE CHANGE, MERGING AND BACKING: PHASE I RESULTS AND FUTURE PLANS , 1996 .

[15]  Richard J. Hanowski,et al.  INVESTIGATION OF ALTERNATIVE DISPLAYS FOR SIDE COLLISION AVOIDANCE SYSTEMS , 1996 .

[16]  K Ofuchi,et al.  OBSERVATIONS OF THE EFFECT ON DRIVERS OF LANE GUIDANCE FUNCTION EMPLOYING IN-VEHICLE VOICE GUIDANCE AND DISPLAY UNITS , 1996 .

[17]  Hermann Winner,et al.  Adaptive Cruise Control System Aspects and Development Trends , 1996 .

[18]  Alvah C. Bittner,et al.  DRIVER-VEHICLE INTERFACE (DVI) DESIGN ISSUES OF AN INTERSECTION COLLISION AVOIDANCE (ICA) SYSTEM , 1996 .

[19]  H. Kamiya,et al.  Intelligent technologies of Honda ASV , 1996, Proceedings of Conference on Intelligent Vehicles.

[20]  Hiroshi Ueno,et al.  Development of Nissan's ASV , 1996, Proceedings of Conference on Intelligent Vehicles.

[21]  Richard J. Hanowski,et al.  Driver Acceptance of Unreliable Traffic Information in Familiar and Unfamiliar Settings , 1997, Hum. Factors.

[22]  M Wieck.  FAST-TRAC - A SUCCESS FOR DYNAMIC ROUTE GUIDANCE , 1997 .

[23]  P. Blythe.  IMPLEMENTING SMART CARD TECHNOLOGY TO TRANSFORM TRANSPORT PAYMENT AND CUSTOMER INFORMATION , 1997 .

[24]  D. Deeter,et al.  MULTI-JURISDICTIONAL MAYDAY (MJM) - ADDING VALUE TO EXISTING OPERATIONAL TESTS , 1997 .

[25]  A E Polk.  ITS APPLICATIONS TO RAILROAD CROSSING SAFETY : A SUMMARY OF U.S. ACTIVITIES , 1997 .

[26]  H. E. Knee,et al.  Development and evaluation of an in-vehicle information system , 1997 .

[27]  A. Hofmeister,et al.  The Driver Information System for the Rest of Us , 1997 .

[28]  Erwin H. Warshawsky,et al.  The Changing World of Automotive Electronic Control Units , 1997 .

[29]  Raghavan Srinivasan,et al.  Effect of Selected In-Vehicle Route Guidance Systems on Driver Reaction Times , 1997, Hum. Factors.

[30]  R. Knoblauch,et al.  SAFETY EVALUATION OF ULTRAVIOLET-ACTIVATED FLUORESCENT ROADWAY, DELINEATION: PRELIMINARY FIELD EXPERIMENT , 1997 .

[31]  Charles E. Thorpe,et al.  PERFORMANCE SPECIFICATION DEVELOPMENT FOR ROADWAY DEPARTURE COLLISION AVOIDANCE SYSTEMS , 1997 .

[32]  B. Carnahan,et al.  A drowsy driver detection system for heavy vehicles , 1998, 17th DASC. AIAA/IEEE/SAE. Digital Avionics Systems Conference. Proceedings (Cat. No.98CH36267).

[33]  M. Heddebaut,et al.  Appel d'urgence, localisation d'usagers en détresse et alerte rapide des conducteurs. Analyse technique des solutions en cours de déploiement , 1998 .

[34]  Theodoros Evgeniou,et al.  A TRAINABLE PEDESTRIAN DETECTION SYSTEM , 1998 .

[35]  Daniel Esteve,et al.  IMU, INTEGRATED MONITORING UNIT OF THE SAVE DIAGNOSTIC SYSTEM , 1998 .

[36]  井上 秀明,et al.  The adaptive cruise control system , 1998 .

[37]  Philippe Hamet.  EUROPE, THE GENERAL DIRECTION , 1999 .

[38]  Serge Boverie,et al.  3D Perception for Vehicle Inner Space Monitoring , 2000 .

[39]  L Mussone,et al.  THE POTENTIAL IMPACT ON TRAFFIC SAFETY OF LATERAL SUPPORT SYSTEMS , 2000 .