Developing a driving Safety Index using a Delphi stated preference experiment.

Whilst empirical evidence is available concerning the effect of some aspects of driving behaviour on safety (e.g. speed choice), there is scant knowledge about safety thresholds, i.e. the point at which behaviour can be considered unsafe. Furthermore, it is almost impossible to ascertain the interaction between various aspects of driving behaviour. For example, how might drivers' lateral control of a vehicle be mediated by their speed choice-are the effects additive or do they cancel each other out. Complex experimental or observational studies would need to be undertaken to establish the nature of such effects. As an alternative, a Delphi study was undertaken to use expert judgement as a way of deriving a first approximation of these threshold and combinatory effects. Using a stated preference technique, road safety professionals make judgements about drivers' safe or unsafe behaviour. The aim was to understand the relative weightings that are assigned to a number of driver behaviours and thereby to construct a Safety Index. As expected, experts were able to establish thresholds, above (or below) which changes to the behavioural parameters had minimal impact on safety. This provided us with a Safety Index, based on a model that had face validity and a convincing range of values. However, the experts found the task of combining these driver behaviours more difficult, reflecting the elusive nature of safety estimates. Suggestions for future validation of our Safety Index are provided.

[1]  G. Kay,et al.  The effects of antihistamines on cognition and performance. , 2000, The Journal of allergy and clinical immunology.

[2]  J F O'Hanlon,et al.  Anxiolytics' effects on the actual driving performance of patients and healthy volunteers in a standardized test. An integration of three studies. , 1995, Neuropsychobiology.

[3]  C. Guilleminault,et al.  Fatigue, sleep restriction and driving performance. , 2005, Accident; analysis and prevention.

[4]  Frank C. Leeming,et al.  Headway on urban streets: observational data and an intervention to decrease tailgating , 2000 .

[5]  Natasha Merat,et al.  Surrogate in-vehicle information systems and driver behaviour: effects of visual and cognitive load in simulated rural driving , 2005 .

[6]  J. F. O'Hanlon,et al.  Acrivastine, terfenadine and diphenhydramine effects on driving performance as a function of dose and time after dosing , 2007, European Journal of Clinical Pharmacology.

[7]  D C Webster,et al.  REVIEW OF TRAFFIC CALMING SCHEMES IN 20 MPH ZONES , 1996 .

[8]  Michael D Keall,et al.  Further results from a trial comparing a hidden speed camera programme with visible camera operation. , 2002, Accident; analysis and prevention.

[9]  G. Maycock,et al.  SPEED, SPEED LIMITS AND ACCIDENTS , 1994 .

[10]  Craig N. Kloeden,et al.  TRAVELLING SPEED AND THE RISK OF CRASH INVOLVEMENT ON RURAL ROADS , 2001 .

[11]  Randall G. Chapaaan,et al.  Exploiting Rank Ordered Choice Set Data within the Stochastic Utility Model , 1982 .

[12]  Thomas A. Dingus,et al.  The 100-Car Naturalistic Driving Study Phase II – Results of the 100-Car Field Experiment , 2006 .

[13]  Jutaek Oh,et al.  Bayesian methodology incorporating expert judgment for ranking countermeasure effectiveness under uncertainty: example applied to at grade railroad crossings in Korea. , 2006, Accident; analysis and prevention.

[14]  Karel A. Brookhuis,et al.  Effects of MDMA (ecstasy), and multiple drugs use on (simulated) driving performance and traffic safety , 2004, Psychopharmacology.

[15]  Eugene Farber,et al.  Using the REAMACS model to compare the effectiveness of alternative rear end collision warning algorithms , 1994 .

[16]  S. Fairclough,et al.  The effect of time headway feedback on following behaviour. , 1997, Accident; analysis and prevention.

[17]  A Baruya,et al.  THE EFFECTS OF DRIVERS' SPEED ON THE FREQUENCY OF ROAD ACCIDENTS , 2000 .

[18]  Ezra Hauer,et al.  ACCIDENTS, OVERTAKING AND SPEED CONTROL , 1971 .

[19]  Rod Barrett,et al.  Hands-free mobile phone speech while driving degrades coordination and control , 2004 .

[20]  H Summala,et al.  Cognitive load and detection thresholds in car following situations: safety implications for using mobile (cellular) telephones while driving. , 1999, Accident; analysis and prevention.

[21]  U Pulkkinen,et al.  An expert judgment model applied to estimating the safety effect of a bicycle facility. , 2000, Accident; analysis and prevention.

[22]  Craig N. Kloeden,et al.  REANALYSIS OF TRAVELLING SPEED AND THE RISK OF CRASH INVOLVEMENT IN ADELAIDE, SOUTH AUSTRALIA , 2002 .

[23]  Johan Engström,et al.  Sensitivity of eye-movement measures to in-vehicle task difficulty , 2005 .