Search results

The purpose of this paper is to quantify the effect of the enforcement, which was carried out with ANPRs, on seat belt use. Though the Seat belt Act was enacted in 1992, it did not lead to an expected increase in seat belt use in Turkey including Sanliurfa, which is one of the immense provinces with a population of over 2m. The Sanliurfa Police Department set in an enforcement campaign, in which automatic number plate recognition (ANPR) cameras were used to facilitate an increment in using seat belts in the city center. Under the police leadership, seat belt use enforcement campaign was hugely publicized and sustained throughout the city.

The ANPRs did not have a feature to detect seat belt wearing automatically. Thus, this study tested whether automated plate recognition cameras have a deterrence effect on seat belt usage. To assess the efficacy of this enforcement project, the authors employed a pre/post-implementation design. For this study, the records of the 11 ANPR camera sites, 2 non-camera sites and 2 control sites were utilized.

The results of this study revealed that the seat belt use rate was around 8 percent, before camera enforcement in Sanliurfa. Overall increases were 12 percent during the warning period, 60 percent for the beginning period and 78 percent three months after enforcement began at camera sites. One-way ANOVA results suggested the differences between means of seat belt use counts were statistically significant F (3, 61,596)=15,456, p=0.000.

The findings suggest that there are several reasons for the substantial increase in the seat belt use rate. The first reason for the success of the cameras was their deterrent effect on the drivers, because the drivers were aware that the traffic offense had become readily observable via camera detection in the intersections, and the drivers did not want to be penalized. Second, it is considered that a well-organized publicity of the cameras made a significant contribution to the effectiveness of the enforcement by increasing perceived detection risk. Finally, it is considered that the reason behind the sudden increase in seat belt use was the red-light cameras that had been already in use in Sanliurfa. Namely, the experience of the drivers about camera enforcement gave rise to the rapid decrease in seat belt violation rate in the warning period.

Using cameras (automatic or not) for seat belt enforcement and publicizing this enforcement can help to save resources and lives.

This study found a lot of news about similar enforcement on the internet, but no study was found in the literature that reveals if the enforcement can produce an effective result. Thus, this is the first study in Turkey, may be in the world, that evaluated if cameras of the ANPRS can generate effective seat belt enforcement. Furthermore, the study betokened that traffic violations, which cannot be automatically detected by cameras such as cell phone use and smoking in a vehicle can be effectively enforced by non-automatic cameras. Therefore, we believe that the study will contribute policing and the traffic safety literature.

Observes that the provision of intelligent control is seen as the logical extension of existing seat‐belt and airbag systems for passenger vehicles to optimize secondary safety performance. Demonstrates the need for discrete information about the driver/passenger in the vehicle in order to provide optimal control of seat‐belt pre‐tensioning; seat‐belt reel‐out (post‐crash pulse); and air bag inflation timing and/or rate. Finds, from system modelling and statistical crash data, that such information as occupant mass and position with respect to vehicle interior and steering wheel are important parameters in the optimal control of the above integrated systems. Justifies these needs and shows that the design of a Smart Seat provides the necessary data. Explains that the design incorporates sensor systems, using a Mechatronic integrated approach.

Vehicle crashes and being struck by vehicles are the leading causes of death among police. The purpose of this paper is to identify risk factors for injury in police officer vehicle crashes in order to help determine the most effective approaches to improve officer vehicle safety.

The study entailed a cross-sectional survey of officer drivers involved in vehicle crashes from 16 local, county, and state law enforcement agencies across the USA over one year. The relative risk of injury for officers in crashes with a given characteristic relative comparison crashes without that characteristic was computed to determine which characteristics are more likely to be associated with injuries.

The survey yielded 854 crashes, 90 of which involved injuries to the officer driver. Crash characteristics associated with a statistically significant increase in the risk of injury include multiple vehicle collisions, collision direction, officer vehicle type, officer vehicle being stopped, driving under emergency conditions, conducting traffic control or assisting motorists, not wearing a seat belt, and others. Most findings hold for all crashes and when minor crashes are excluded from the analysis.

This study presents the first quantitative estimates of the risk factors for injury to law enforcement officers in vehicle crashes. Our findings indicate that seat belt use remains a critical safety intervention; driving under emergency conditions is high risk, though the reasons for this are unclear; better practices are needed to protect officers in stationary vehicles; agencies should carefully weigh the benefit of motorcycles against the vastly increased risk of injury they present; and that mobile data terminals are both a major distraction hazard and important source of injuries in crashes.

The purpose of this paper is to empirically investigate the linkage between obesity and motor vehicle deaths.

The paper specifies a model that explains highway fatalities, which accounts for obesity in its set of potential determinants. State‐level data are utilized in this paper. The values for all variables are for the year 2005. They correspond to 46 of the contiguous states for all measures. The model is estimated by multiple regressions.

The paper finds that the motor vehicle death rate (fatalities per million vehicle miles) has a statistically significant positive relationship with the percentage of the population that is obese. The death rate also has significant positive associations with the percentage of elderly male drivers, per capita alcohol consumption, and temperature; and it has significant negative relationships with per capita income, the percentage of elderly female drivers, seat belt use, and precipitation.

The estimates of this paper have various policy implications. For example, the findings pertaining to occupant body weight imply that efforts leading to a decline in the prevalence of obesity will also lower the highway death risk. Results suggest that obesity increases this death risk by contributing to more accidents. If so, measures that reduce obesity‐related unsafe driving behaviors (e.g. increased chance of falling asleep while driving) could save lives.

The paper adds to the research on the relationship between highway safety and obesity. The paper's unique contributions include estimating the linkage between obesity and motor vehicle deaths by regression analysis on US state‐level data for 2005 within a model that controls for economic conditions and other considerations such as driver and passenger characteristics, locational factors, government regulations, and weather conditions.

Studies safety measures in cars, such as airbags and automatic seat‐belt tensioning. Provides details of how airbags function and of single‐point sensing, three‐point sensing, side‐impact sensing and covers other developments.