Modeling cyclist acceleration process for bicycle traffic simulation using naturalistic data

Cycling is a healthy and sustainable form of transportation. The recent increase of daily cyclists in Sweden has triggered broad interest in finding how policies and measures may facilitate the planning of bicycle traffic in the urban area. However, in comparison to car traffic, bicycle traffic is still far from well understood. This study is part of the research effort to investigate microscopic cyclist behavior, model bicycle traffic and finally build a simulation tool for applications in transport planning. In particular, the paper focuses on representing bicycle movements when the cyclist doesn’t interact with others. The cyclist acceleration behavior is modeled using naturalistic GPS data collected by eleven recruited commuter cyclists. After filtering the large amount of data, cyclist trajectories are obtained and acceleration profiles are abstracted. A mathematical model is proposed based on the dataset, and three model forms are estimated using the maximum likelihood method with Laplace and Normal error terms. While the model with more parameters shows superior performance, the simplified ones are still capable of capturing the trends in the acceleration profiles. On the other hand, the study also introduces social economic characteristics of cyclists to explain the model parameters and they show significant effects. However, the cyclist population being investigated in the study is still limited, and more convincing results can be obtained when the data collection effort is extended to larger population with more variable cyclist characteristics.     

驾驶员选择性注意过程中的规则图式启动效应

本研究将驾驶无意视盲范式与交通违规事件识别任务相结合, 通过两个实验分别探究任务性质(有提示、无提示)和规则图式训练(训练、未训练)对驾驶员识别交通信号和违规事件的影响。结果发现, 交通规则提示能够提高有经验的驾驶员识别交通信号的正确率(实验1); 对于新手驾驶员, 则需要结合规则图式训练才能起到相同效果(实验2)。研究表明驾驶员选择性注意过程中存在规则图式启动效应, 图式训练能够弥补新手驾驶员经验的不足。     

Self-reported Attitude Towards Speeding and Its Possible Consequences in Five Different Road Contexts

Driving above the permitted speed limit is a common violation on the roads of Great Britain. Moreover, speeding is associated with negative consequences in the form of damage, injury and fatal road traffic accidents. The aim of this study was to assess, by means of self-report, the prevalence of this social problem across five different contexts: a residential road, a busy shopping street, a dual carriageway, a winding country road, and a motorway. The extent to which speeding was perceived to be associated with negative consequences was also assessed. Results suggest that most drivers make judgements about the type of road on which they are driving and the degree of speeding that is acceptable, and that their intentions to speed vary accordingly. Some drivers reported a consistent intention to speed, however, and these people were characterized by greater general deviance on the road (e.g. high violation score), rather than by a stronger tendency to underestimate the negative consequences. In general, however, younger people and those with less regard for negative consequences reported stronger intentions to speed. These results are discussed with reference to strategies for addressing the problem of speeding. © 1997 John Wiley & Sons, Ltd.     

A matter of style? Testing the moderating effect of driving styles on the relationship between job strain and work-related crashes of professional drivers

Different empirical studies suggest that both job strain and driving styles are significant contributors to the work-related traffic crashes suffered by professional drivers. Nevertheless, the current evidence falls considerably short when explaining why driving styles may modify (or not) the relationship between occupational stressors and professional drivers’ safety outcomes. The aim of this study was to examine whether driving styles moderate the effect of job strain on professional drivers’ Work Traffic Crashes (WTCs). This research was performed using the data collected from a sample of 753 professional drivers, responding to a self-report questionnaire on job strain (work stress indicator of the Job Demand-Control model), driving styles and work-traffic safety outcomes suffered in the past two years. Regression-based moderation analyses suggest that the job strain of professional drivers is positively associated with the occupational traffic crashes they suffer, and that such association is stronger in drivers with “reckless & careless”, “anxious”, and “angry & hostile” driving styles. Meanwhile, the “patient & careful” (positive) driving style was not associated with a lower risk of suffering a WTC, nor with a lower vulnerability to stress-related WTCs. The results of this study support the hypothesis that driving styles exert a statistical moderation between the job strain and the occupational traffic crashes suffered by professional drivers. These findings may support the design of evidence-based interventions in both the organizational and individual levels, focused stress-related factors and driving styles as predictors of work traffic crashes.     

Factors underpinning unsafe driving: A systematic literature review of car drivers

ObjectivesThe purpose was to provide a systematic review of the literature related to the personality and well-being of social, domestic, pleasure and commuting (SDP&C) car drivers.MethodsThe following databases were searched: PsychINFO (PsychNET), Scopus (Elsevier), Web of Science (Social Sciences Index; WoS), ORCA (Online research at Cardiff University), Science Direct (Elsevier), Taylor and Francis Online, and PubMed. Grey literature was sourced using the Transport Research International Database (TRID) as well as conference proceedings of the Human Factors and Ergonomics Society and Driver Assessment. In parallel, an internet search of Google Scholar was undertaken. Two researchers reviewed papers suitable for inclusion. Eligible papers were those published in the English language, during the last decade; the latter to allow for a more contemporary appraisal of the literature. The search yielded thirty peer reviewed articles and ten reports relevant to the personality and well-being of SDP&C road users.ResultsThe findings show that anxiety, stress and depression were predictive of unfavourable driving outcomes (e.g. risk-taking, aggression, poor driving behaviour.) Further, driving discourtesy by others was found to not only induce stress reactions in drivers, but also led to riskier driving practice, such as deliberately engaging in intimidating driving behaviour. Negative personality traits were related with negative driving behaviours, whilst higher levels of well-being and life satisfaction appear to safeguard drivers against deliberate driving violations. There was a dearth of literature focusing on UK drivers, as well as research examining the impact of driving itself on the well-being of the driver.ConclusionsFurther longitudinal, multivariate research is required to examine all well-being/personality predictors, whilst controlling for established predictors (such as fatigue) such that the factors underpinning unsafe driving behaviour (in isolation and in combination) may be revealed.     

Predictors of perceived road collision/incident risk among horse users: A survey study from Norway

Although horse users in traffic are a vulnerable road user group, traffic safety problems among them are scantly examined by previous research. The main aim of the present study was to examine the role of some demographic variables, traffic safety attitudes, and level of knowledge about rules and regulations applying to horse use in traffic for predicting perceived road collision/incident risk in a sample of horse users in Norway. An online survey was conducted to collect data from a total of 1733 horse users including horse riders and drivers of horse-drawn sulky, wagon or sled. The respondents accessed the survey via a link put to the website of the Norwegian Horse Centre, which is in contact with many different horse user environments in Norway. The majority of the respondents were female and between the ages of 18–30. A multiple regression analysis was conducted to examine the predictors of the perceived collision/incident risk involving other motor vehicles. Results showed that traffic safety attitudes among horse users were the strongest predictor of the perceived collision/incident risk. In particular, horse users reported a negative attitude towards the other road users (e.g. drivers) indicating that they perceive the other road users’ actions and approaches as the biggest source of risk in road traffic. The level of knowledge about the rules and regulations applying to horse use, especially in walking and cycling lane, was relatively low among the respondents. However, knowledge about rules and regulations did not appear as a strong predictor of the perceived collision/incident risk. Results indicate the need to increase road users, especially drivers’, awareness about the problems and needs of horse users in traffic.     

道路交通标志中对称结构效应的眼动研究

本研究考察了道路交通标志中路名信息对称结构效应的眼动模式。实验采用眼动跟踪技术和视觉搜索范式,共有16名被试参加。实验结果表明：（1）在对称结构路名信息的视觉搜索中,被试的反应正确率明显优于非对称结构条件下的正确率;（2）对称结构条件下,被试的注视点和回扫次数明显较少,凝视时间明显较短;（3）在以道路交通标志为视觉搜索材料时,搜索区有无路名目标对视觉搜索绩效没有影响。可以认为：在道路交通标志中存在对称结构效应;眼动模式的差异是引起对称结构效应的认知机制。     

The urban environment and child pedestrian and bicycle injuries: Interaction of ecological and personality characteristics

It is argued that the study of injuries to child pedestrians and cyclists in urban contexts must involve the study of complex elements interacting within a total environment. This complexity, and the need for further research, is illustrated from a study of 400 child victims in an urban, ecological study, and of 67 individually studied child victims and controls. It is argued that the individual vulnerability of some children puts them at high risk when they live in certain types of urban neighbourhoods.     

Driving and riding avoidance following motor vehicle crashes in a non-clinical sample: psychometric properties of a new measure

Three studies were conducted to assess the reliability and validity of a measure that we developed using a non-clinical sample of university undergraduates, the Driving and Riding Avoidance Scale (DRAS). Study 1 indicated that the scale was internally consistent (α=0.92) and that a four-factor model (general avoidance, avoidance of traffic and busy roads, avoidance of weather or darkness, and riding avoidance) provided the best fit to the data in a sample of 386 crash survivors. This study also revealed that survivors who received medical treatment for their crash-related injuries reported significantly greater avoidance than people who were uninjured or injured and not medically treated. Study 2 revealed that the DRAS possessed acceptable test-retest reliability (r=0.83) over a 4-week interval in a sample of 67 crash survivors. Using a sample of 118 survivors, study 3 examined the instrument’s convergent and divergent validity through correlations with the Accident Fear Questionnaire (AFQ), the Mobility Inventory (MI), the Fear Survey Schedule-II (FSS-II), and the Fear Questionnaire (FQ). The strongest relationships were observed between the DRAS and the AFQ and with a driving subscale created from the MI items. The DRAS exhibited significantly weaker relationships with the FQ subscales that assessed other kinds of phobic avoidance.