LEP, SLC and the Standard Model

The period 1989-2000 provided a huge yield of precise electroweak data from the LEP and SLC experiments. Many analyses of these data are now complete, but others, particularly of the full LEP-2 data samples, continue. The main electroweak physics results from these data are summarised, and stringent tests of the Standard Model are made with the combined samples. The direct search for the missing link of the Standard Model, the Higgs boson, is also briefly reviewed.Comment: Invited talk at the XXXth SLAC Summer Institute Topical Conference, Stanford, California, USA, August 2002 (SSI02-TW05) 24 pages, LaTeX, 25 eps figure

Precise Electroweak Results from LEP2

Precise electroweak results from LEP2 are reviewed.Comment: 16 pages, 10 figures, to appear in Proceedings of XIX International Symposium on Lepton and Photon Interactions at High Energies (LP'99

Road User Interactions: Patterns of Road Use and Perception of Driving Risk

The goal of the Road User Interactions research programme is a better understanding of the human factors of our road transport system: road user demographics, risk perceptions of road users, and the driving attitudes of various road user groups. Our analysis of the 1989 and 1999 New Zealand Household Travel Surveys identified several fundamental road user differences and consistent demographic trends over the past 10 years. The driver characteristics of gender, age, and area of residence (urban, secondary urban, and rural) are the demographic factors which most clearly differentiate New Zealand road user groups. Analysis of the patterns of road use suggests that, although these road user groups do drive at distinctly different times, there are periods of conflict which are also associated with the greatest crash risk for these drivers. Our analysis of a sample of road user groups in Hamilton, Auckland, Gisborne, New Plymouth, and Palmerston North found significant differences in their perceptions of risk and driving behaviours. Rural drivers and women drivers rated a range of driving situations as having greater risk than did the other road user groups, and they rated the high risk scenarios as being much riskier. Men indicated the greatest willingness to accept the risk in driving situations and rated their own driving skill as higher. Older drivers also rated driving situations as having higher risk, and young drivers generally rated low risk situations much lower than other drivers. In the survey of driving behaviour, young men in our sample reported very high levels of violations and aggressive violations. The male drivers’ rates of violations and aggressive violations were significantly higher than the women drivers’ and the number of both decreased significantly with age. Finally, inspection of crash data show that young drivers’ and older drivers’ crashes have some characteristics in common; both groups have a disproportionate number of crossing, turning, and manoeuvring crashes at intersections in the mid-afternoon

Does Familiarity breed inattention? Why drivers crash on the roads they know best

This paper describes our research into the nature of everyday driving, with a particular emphasis on the processes that govern driver behaviour in familiar, well - practiced situations. The research examined the development and maintenance of proceduralised driving habits in a high-fidelity driving simulator by paying 29 participants to drive a simulated road regularly over three months of testing. A range of measures, including detection task performance and driving performance were collected over the course of 20 sessions. Performance from a yoked control group who experienced the same road scenarios in a single session was also measured. The data showed the development of stereotyped driving patterns and changes in what drivers noticed, indicative of in attentional blindness and “driving without awareness”. Extended practice also resulted in increased sensitivity for detecting changes to foveal road features associated with vehicle guidance and performance on an embedded vehicle detection task (detection of a specific vehicle type). The changes in attentional focus and driving performance resulting from extended practice help explain why drivers are at increased risk of crashing on roads they know well. Identifying the features of familiar roads that attract driver attention, even when they are driving without awareness, can inform new interventions and designs for safer roads. The data also provide new light on a range of previous driver behaviour research including a “Tandem Model” that includes both explicit and implicit processes involved in driving performance

Influencing driver behaviour through road marking

This paper will describe how road marking can be used to influence driver behaviour in order to improve road safety and traffic flows. Extensive use will be made of examples from recent research undertaken by the authors on overtaking lane design, speed change management, managing speed around curves and improving the safety of high risk sections of roads. This research included both on-road and driving simulator-based measurements. The concept of self explaining roads and what is required to implement it will also be described

The effectiveness of delineation treatments

A literature review undertaken for Transit NZ has found that delineation has a significant effect on driver behaviour with, for example, shoulder rumble strips reducing run-off-theroad crashes by between 22% and 80% (average of 32% for all crashes and 44% for fatal run-of-the-road crashes). The concern that enhancing roadway delineation may sometimes be accompanied by an unwanted increase in drivers’ speeds (known as behavioural adaptation) is not borne out by the research and appears to be a phenomenon associated with a few restricted situations (e.g. where a centre line is added to an otherwise unmarked road). The preponderance of the evidence supports the conclusion that profiled edge lines and centre lines provide drivers with positive guidance and produce significant reductions in crashes as a result of improving drivers’ lateral position. Further, unlike other safety measures that show decreased effectiveness over time due to a novelty effect, profiled lane delineation continues to work regardless of driver familiarity. There is no published research to suggest that profiled edge lines will decrease the effectiveness of a profiled centre line or will result in an increase in crash rates or an increase in the severity of crashes. However it has also been noted that local conditions have a major influence on the level of benefits that can be achieved through improved delineation

Persisting mobile phone use while driving and possible solutions for New Zealand

In New Zealand the use of hand-held phones while driving was prohibited in 2009, but ‘hands-free’ phones are still permitted. We recently presented the results of an observational study into mobile phone among Wellington drivers at a conference (for details see the proceedings). The main findings were that out of 8335 cars systematically observed at traffic lights and 9520 cars in moving traffic (each at three different Wellington locations), the use of mobile phones was 1.87% (95%CI: 1.60-2.18) and 1.34% (95%CI: 1.13-1.59) respectively