Socio-demographic and experience factors affecting drivers’ runoff risk along horizontal curves of two-lane rural highway

Introduction: An improper driving strategy is one of the causative factors for a high probability of runoff and overturning crashes along the horizontal curves of two-lane highways. The socio-demographic and driving experience factors of a driver do influence driving strategy. Hence, this paper explored the effect of these factors on the driver’s runoff risk along the horizontal curves. Method: The driving performance data of 48 drivers along 52 horizontal curves was recorded in a fixed-base driving simulator. The driving performance index was estimated from the weighted lateral acceleration profile of each driver along a horizontal curve. It was clustered and compared with the actual runoff events observed during the experiment. It yielded high, moderate, and low-risk clusters. Using cross-tabulation, each risk cluster was compared with the socio-demographic and experience factors. Further, generalized mixed logistic regression models were developed to predict the high-risk and high to moderate risk events. Results: The age and experience of drivers are the influencing factors for runoff crash. The high-risk event percentage for mid-age drivers decreases with an increase in driving experience. For younger drivers, it increases initially but decreases afterwards. The generalized mixed logistic regression models identified young drivers with mid and high experience and mid-age drivers with low-experience as the high-risk groups. Conclusions: The proposed index parameter is effective in identifying the risk associated with horizontal curves. Driver training program focusing on the horizontal curve negotiation skills and graduated driver licensing could help the high-risk groups. Practical applications: The proposed index parameter can evaluate driving behavior at the horizontal curves. Driving behavior of high-risk groups could be considered in highway geometric design. Motor-vehicle agencies, advanced driver assistance systems manufacturers, and insurance agencies can use proposed index parameter to identify the high-risk drivers for their perusal.     

Drugged driving among US adults: Results from the 2016–2018 national survey on drug use and health

Introduction: Drugged driving, the act of driving while under the influence of one or more illicit substances, remains a critical problem needing to be addressed. The present study sought to analyze risk factors associated with past-year driving under the influence of alcohol and marijuana among a national sample of U.S. adults. Method: Pooled data from the 2016–2018 National Survey on Drug Use and Health were analyzed among 124,466 adults ages 18 years or older. Results: Weighted logistic regression analyses revealed that 8.52% of adults drove under the influence of alcohol in the past year and 4.49% of adults drove under the influence of marijuana in the past year. Of concern, compared to heterosexuals, greater than 1 in 10 sexual minorities drove under the influence of alcohol in the past year. Moreover, a sizeable percentage of adults used other drugs while under the influence of alcohol including inhalants (70.3%), cocaine (68.9%), and hallucinogens (63.7%). Moreover, a great percentage of adults (53.4%) reported using methamphetamine while also under the influence of marijuana. Practical Applications: We believe our findings can inform harm reduction efforts and prevention messaging surrounding the dangers of drugged driving.     

Driving anger expression in Germany—Validation of the Driving Anger Expression Inventory for German drivers

Objective: The main objective of this article is to examine whether the Driving Anger Expression Inventory (DAX) applies to German drivers because this scale has previously been given to drivers in many different countries.

Methods: We applied German versions of the DAX, the Driving Anger Scale (DAS), and the State-Trait Anger Expression Inventory (STAXI) to a sample of 501 German drivers. We computed confirmatory factor analysis and principal axis factoring (PAF) analysis to examine the structure of driving anger expression in Germany. Finally, we related the drivers’ anger exp ression scores to their driving anger experiences and their general anger propensities to assess the validity of the DAX for German drivers.

Results: Results indicated that the DAX’s original factor structure does not apply to German drivers because the confirmatory factor analysis did not show a good model fit. An item analysis revealed that many DAX items had no meaningful variability. They were excluded from further analysis. The subsequent PAF analysis indicated that German drivers do not use personal physical aggression to express their driving anger. Instead, they reported unique preventive anger expression management behavior. In addition, their driving anger expressions were significantly related to their driving anger experiences and their general anger propensities indicated the validity of the refined DAX for German drivers.

Conclusions: We conclude that German drivers do not use strong behaviors to express their driving anger. Many statements of Deffenbacher et al.’s (Behav Res Ther. 40:717–737, 2002) original American questionnaire were not applicable for our sample of German drivers. These findings are in line with several other studies showing discrepancies in driving anger expression in various countries. Future investigations should examine the reasons for discrepancies in driving anger expression.     

In-vehicle workload assessment: effects of traffic situations and cellular telephone use

PROBLEM: Assessment of drivers' on-road workload is an important traffic safety consideration. This study was conducted to examine the effects of cellular phone communication on driving performance, with particular emphasis on variations in task demand in different traffic situations. METHOD: Twelve participants were asked to drive on urban roads and motorways with or without concomitant mathematical-addition tests relayed via cellular phone. Measurements included task and driving performance, physiological responses, and compensatory behavior. RESULTS: Analysis of task performance revealed that mean response time was markedly increased (11.9%) for driving on urban roads compared to motorways. The mean driving speed only decreased 5.8% in the presence of phone tasks in comparison to normal driving without distractions. In addition, overall physiological workload increased through compensatory behavior in response to the phone tasks. CONCLUSIONS: Driving with phone use in different traffic environments induced measurable variations in driver workload. IMPACT ON INDUSTRY: When faced with heavy traffic, a greater safety margin is typically adopted, with more lowered driving speed and restricted phone use, and it can be assumed that there is a general trade-off between tasks to preserve driving safety.     

Evaluating impaired drivers confidence and intention to "(Please) drink responsibly"

Introduction

Currently, alcohol industry-sponsored advertisements subsume traditional designated driver and don't drink and drive messages within responsible drinking campaigns. Yet, to date, there remains a dearth of literature specifically examining the attitudinal beliefs impaired drivers attach to the responsible drinking message.

Objective

This investigation sought to examine the responsible drinking attitudes and beliefs of impaired drivers, specifically examining their confidence and intention to drink responsibly the next time they consumed alcohol.

Methods

A random sample of 729 students attending a large, public Texas university completed a web-based administration of the Characteristic of Responsible Drinking Survey (CHORDS).

Results

Participants in this sample who had driven while impaired by alcohol exhibited significantly less confidence in refraining from drinking and driving and reported significantly lower intentions to designate a driver, take a taxi, or use a safe-ride program the next time they consumed alcohol. Additionally, they also reported less confidence, and lower intentions, to ensure their blood alcohol concentrations remained below the legal limit (0.08%) the next time they consumed alcohol.

Conclusions

Drivers who had driven while impaired significantly differed in their confidence and intention to drink responsibly the next time they consumed alcohol. Logistic regression results indicate that by increasing one's confidence in responsible drinking, and increasing their intention to drink responsibly, the likelihood of impaired driving can be decreased.

Impact on industry

Results from this investigation demonstrate one’s responsible drinking attitudinal beliefs accounts for a significant amount of the variance associated with one’s alcohol-related behaviors. Thus, further research should examine and establish how individuals conceptualize and practice responsible drinking.     

Driving exposure by driver age in Michigan

Background

This study compared driving exposure between two high-crash-risk groups (16–17 and 18-24-year-olds), with a low-crash-risk group (35-64-year-olds). In addition, patterns of association between driving exposure measures and demographic and driving behavior variables were examined.

Methods

Respondent's total miles, minutes, and trips driven were calculated within a 48-hour period, using state-wide survey data collected in 2004 and 2005.

Results

The youngest drivers drove fewer miles and minutes, but a comparable number of trips as the two older groups. Employment and high vehicle access were associated with greater driving exposure for 16-17-year-olds and 18-24-year-olds. Employment, high household income, large household size, and low vehicle access were associated with greater driving exposure for 35-64-year-olds. More driving was done alone than with passengers present and during the day than at night across all ages. There was a positive association between two driving exposure measures (miles and minutes driven) and demographic and driving behavior variables, which did not extend to trips driven.

Discussion

Driving exposure is directly related to stage of life. The entire sample of 16-17-year-old respondents were in high school, which directly influenced their driving times, destinations, and purpose. Those aged 18–24 years displayed driving behavior patterns that were closer to the older drivers, while retaining some differences. The oldest drivers were likely to be shouldering the greatest household responsibilities, and their greater driving exposure may reflect this reality.

Impact on industry

These findings provide new information about driving exposure for two high-risk and one low-risk group of drivers. They also raise concern over potential workplace safety issues related to teens’ higher driving exposure, and concomitant crash risk, related to being employed. Future research should examine this issue more carefully so that evidence based recommendations can be made to enhance the safety of teens who are employed, especially those who are employed as drivers.     

Development pattern and enhancing system of automotive components remanufacturing industry in China

Along with the increasing number of automotive output and End-of-Life vehicles (ELVs) in China, resources shortage and environmental pollution are aggravating, so the tremendous need to reuse automotive components gives birth to the industry. The Chinese government becomes to realize that it is necessary to build a conservation-oriented and environment-friendly harmonious society. As the ultimate form of recycling, remanufacturing will be an effective method to promote the development of Chinese circular economy. The automotive remanufacturing industry in China is just at the preliminary stage, this paper presents some problems before remanufacturing, during remanufacturing and after remanufacturing, and then it points out several barriers, such as restrictive policies and regulations, consumer acceptance, scarcity of technologies, etc. Like many other developed countries, Chinese remanufacturing industry will also experience the primary stage, growth stage and developed stage. while the emphasis of resources input will not be the same. By analyzing the resources input characteristics at different development stages, three development patterns, such as the Government Incenting Pattern, Technology Driving Pattern and Market Leading Pattern, are put forward. At present, the cooperation of the government, industry, universities and research institutes, etc, will jointly construct the enhancing system of automotive components remanufacturing industry in China. Finally, it concludes with a summary and some suggestions in the field.     

Driver licensing,motor-vehicle crashes,and moving violations among older adults

IntroductionDriving is important for well-being among older adults, but age-related conditions are associated with driving reduction or cessation and increased crash risk for older drivers. Our objectives were to describe population-based rates of older drivers’ licensing and per-driver rates of crashes and moving violations.Methods: We examined individual-level statewide driver licensing, crash, and traffic citation data among all New Jersey drivers aged ≥ 65 and a 35- to 54-year-old comparison group during 2010–2014. Rate ratios (RR) of crashes and moving violations were estimated using Poisson regression.Results: Overall, 86% of males and 71% of females aged ≥ 65 held a valid driver’s license. Older drivers had 27% lower per-driver crash rates than middle-aged drivers (RR: 0.73, 95% CI: 0.73, 0.74)—with appreciable differences by sex—but 40% higher fatal crash rates (RR: 1.40 [1.24, 1.58]). Moving violation rates among older drivers were 72% lower than middle-aged drivers (RR: 0.28 [0.28, 0.28]).Conclusion: The majority of older adults are licensed, with substantial variation by age and sex. Older drivers have higher rates of fatal crashes but lower rates of moving violations compared with middle-aged drivers.Practical applications: Future research is needed to understand the extent to which older adults drive and to identify opportunities to further reduce risk of crashes and resultant injuries among older adults.     

Impact of perceptual countermeasures on driving behavior at curves using driving simulator

Objective: The probability of crash occurrence on horizontal curves is 1.5 to 4 times higher than that on tangent sections. A majority of these crashes are associated with human errors. Therefore, human behavior in curves needs to be corrected.

Methodology: In this study, 2 different road marking treatments, optical circles and herringbone patterns, were used to influence driver behavior while entering a curve on a 2-lane rural road section. A driving simulator was used to perform the experiment. The simulated road sections are replicas of 2 real road sections in Flanders.

Results: Both treatments were found to reduce speed before entering the curve. However, speed reduction was more gradual when optical circles were used. A herringbone pattern had more influence on lateral position than optical circles by forcing drivers to maintain a safe distance from opposing traffic in the adjacent lane.

Conclusion: The study concluded that among other low-cost speed reduction methods, optical circles are effective tools to reduce speed and increase drivers’ attention. Moreover, a herringbone pattern can be used to reduce crashes on curves, mainly for head-on crashes where the main problem is inappropriate lateral position.     

女性驾驶人特性与行为机制研究现状及展望

为系统地认识女性驾驶人的驾驶特性,分析其驾驶行为,从女性驾驶人交通事故数据统计、致因和心理、生理、“药驾”等因素,梳理国内外女性驾驶人驾驶特性及行为机制的研究成果,总结主流研究角度、方法和内容,并展望其未来研究趋势。对文献的梳理和分析表明:导致女性驾驶人交通事故的因素主要包括人格、认知等心理特征和视觉能力、应激反应等生理特征,同时“药驾”也影响着驾驶特性与行为。剖析了女性驾驶人特性及行为机制研究目前存在的不足之处,对未来的研究提出了建议。并针对女性驾驶人群体在各种道路交通环境中开展有效的模拟驾驶培训和教育,进而全面提升中国女性驾驶人的交通安全水平。