Image-based safety assessment : automated spatial safety risk identification of earthmoving and surface mining activities

This paper presents an automated image‐based safety assessment method for earthmoving and surface mining activities. The literature review revealed the possible causes of accidents on earthmoving operations, investigated the spatial risk factors of these types of accident, and identified spatial data needs for automated safety assessment based on current safety regulations. Image‐based data collection devices and algorithms for safety assessment were then evaluated. Analysis methods and rules for monitoring safety violations were also discussed. The experimental results showed that the safety assessment method collected spatial data using stereo vision cameras, applied object identification and tracking algorithms, and finally utilized identified and tracked object information for safety decision making.

Design of a preliminary error impact analysis model for spatial safety assessment of earthmoving operations

Regardless of technology benefits, safety planners still face difficulties explaining errors related to the use of different technologies and evaluating how the errors impact the performance of safety decision making. This paper presents a preliminary error impact analysis testbed to model object identification and tracking errors caused by image-based devices and algorithms and to analyze the impact of the errors for spatial safety assessment of earthmoving and surface mining activities. More specifically, this research designed a testbed to model workspaces for earthmoving operations, to simulate safety-related violations, and to apply different object identification and tracking errors on the data collected and processed for spatial safety assessment. Three different cases were analyzed based on actual earthmoving operations conducted at a limestone quarry. Using the testbed, the impacts of the errors were investigated for the safety planning purpose.

A framework for integrating disadvantaged analysis into transportation planning models

This research paper aims to develop a method to explore the travel behaviour differences between disadvantaged and non-disadvantaged populations. It also aims to develop a modelling approach or a framework to integrate disadvantage analysis into transportation planning models (TPMs). The methodology employed identifies significantly disadvantaged groups through a cluster analysis and the paper presents a disadvantage-integrated TPM. This model could be useful in determining areas with concentrated disadvantaged population and also developing and formulating relevant disadvantage sensitive policies. (a) For the covering entry of this conference, please see ITRD abstract no. E214666.

Characteristics of Impaired Drivers Who Enter Substance Abuse Treatment

Driving under the influence (DUI) remains a serious concern. Most of the data on characteristics of DUI offenders come from driving records, with little data on the levels of impairment of DUI arrestees. This paper examines data on 103,181DUI offenders admitted to Texas treatment programs between 1988 and 2008. They reported past-year DUI arrests or came to treatment on DUI probation. The changes in the characteristics of DUI offenders over time are examined, along with the factors associated with treatment completion and abstinence 90 days after program discharge. Incorporation of substance abuse treatment with effective DUI education and intervention can improve road safety and reduce the burden of substance-related illness.

Perspectives on the effectiveness of the late night liquor trading lockout legislative provision

The effectiveness of ‘the lockout policy’ integrated within a broader police enforcement strategy to reduce alcohol-related harm, in and around late-night licensed premises, in major drinking precincts was examined. First response operational police (n= 280) recorded all alcohol and non alcohol-related incidents they attended in and around late-night liquor trading premises. A before and after study design was used, with police completing modified activity logs prior to and following the introduction of the lockout policy in two policing regions: Gold Coast (n = 12,801 incidents); Brisbane City/Fortitude Valley (n = 9,117 incidents). Qualitative information from key stakeholders (e.g., Police, Security Staff & Politicians n = 20) was also obtained. The number of alcohol-related offences requiring police attention was significantly reduced in some policing areas and for some types of offences (e.g., sex offences, street disturbances, traffic incidents. However, there was no variation for a number of other offence categories (e.g., assault). Interviews with licensees revealed that although all were initially opposed to the lockout policy, most perceived benefits from its introduction. This study was the first of its kind to comprehensively examine the impact of a lockout policy and provides supportive evidence for the effectiveness of the lockout policy as integrating positively with police enforcement to enhance public safety in some areas in and around late-night liquor trading premises.

Response : letter to the editor by Al-Azri and Al-Maniri

Firstly, the authors would like to thank the editor for the opportunity to respond to Dr Al-Azri’s and Dr Al-Maniri’s letter. Secondly, while the current authors also accept that deterrence-based approaches should act as only one corner-stone of a suite of interventions and public policy initiatives designed to improve road safety, deterrence-based approaches have nonetheless consistently proven to be a valuable resource to improve road safety. Dr Al-Azri and Dr Al-Maniri reinforce their assertion about the limited utility of deterrence by citing drink driving research, and the issue of drink driving is particularly relevant within the current context given that the problem of driving after drinking has historically been addressed through deterrence-based approaches. While the effectiveness of deterrence-based approaches to reduce drink driving will always be dependent upon a range of situational and contextual factors (including police enforcement practices, cultural norms, etc), the utilisation of this approach has proven particularly effective within Queensland, Australia. For example, a relatively recent comprehensive review of Random Breath Testing in Queensland demonstrated that this initiative not only had a deterrent impact upon self-reported intentions to drink and drive, but was also found to have significantly reduced alcohol-related fatalities in the state. However, the authors agree that deterrence-based approaches can be particularly transient and thus require constant “topping up” not least through sustained public reinforcement, which was clearly articulated in the seminal work by Homel.

Exploring the theoretical underpinnings of driving whilst influenced by illicit substances

An increasing number of studies are highlighting the alarming proportion of motorists that drive after having consumed illicit drugs. However presently, little attention has focused on the factors that may facilitate drug driving from a criminogenic paradigm. This study evaluated the contribution of deterrence, defiance, and deviance theories on intentions to drug drive to determine factors that might facilitate or reduce this behaviour. A total of 922 individuals completed a questionnaire that assessed frequency of drug use and a variety of perceptions on deterrence, defiance, and deviance constructs. The analysis showed that the defiance constructs (i.e., experiencing feelings of shame and believing in the legitimacy of sanctioning authority) and the deviance constructs (i.e., moral attachment to the norm and having a criminal conviction) were predictive of drug driving intentions. The facets of deterrence theory were not found to be significant predictors. Ultimately, this study illustrates that a range of behavioural and perceptual factors have the capacity to influence decisions to drug drive. As a result, there appears the need to extend the focus of research endeavours beyond legal sanctions to examine other factors that may be utilised to both understand the aetiology of drug driving as well as increase the possibility of compliance with the corresponding legislation.

“Teaching them a lesson?” : a qualitative exploration of underlying motivations for driver aggression

Aggressive driving is increasingly a concern for drivers in highly motorised countries. However, the role of driver intent in this behaviour is problematic and there is little research on driver cognitions in relation to aggressive driving incidents. In addition, while drivers who admit to behaving aggressively on the road also frequently report being recipients of similar behaviours, little is known about the relationship between perpetration and victimisation or about how road incidents escalate into the more serious events that feature in capture media attention. The current study used qualitative interviews to explore driver cognitions and underlying motivations for aggressive behaviours on the road. A total of 30 drivers aged 18-49 years were interviewed about their experiences with aggressive driving. A key theme identified in responses was driver aggression as an attempt to manage or modify the behaviour of other road users. Two subthemes were identified and appeared related to separate motivations for aggressive responses: ‘teaching them a lesson’ referred to situations where respondents intended to convey criticism or disapproval, usually of unintended behaviours by the other driver, and thus encourage self-correction; and ‘justified retaliation’ which referred to situations where respondents perceived deliberate intent on the part of the other driver and responded aggressively in return. Mildly aggressive driver behaviour appears to be common. Moreover such behaviour has a sufficiently negative impact on other drivers that it may be worth addressing because of its potential for triggering retaliation in kind or escalation of aggression, thus compromising safety.

Age and gender comparisons of driving while sleepy : behaviours and risk perceptions

To assist road safety professionals in developing effective strategies to combat the risk associated with driving while fatigued, a survey was administered to 1000 Australian drivers. Participants reported their past behaviours in regards to driving while sleepy and their perceptions of risk associated with driving fatigued as compared to speeding and driving under the influence of alcohol. Although participants appeared to be aware of the substantial risk associated with driving while sleepy, many drivers reported that they frequently drive when sleepy. Age and gender comparisons, revealed that risk taking behaviour in regards to driving while sleepy is occurring across all age groups and in both male and female drivers. Overall young to middle age drivers and male drivers reported the highest frequency of driving while sleepy and reported the lowest perceived personal risk in regards to driving while sleepy.

A spoofing detection method for civilian L1 GPS and the E1-B Galileo Safety of Life service

This paper describes an effective method for signal-authentication and spoofing detection for civilian GNSS receivers using the GPS L1 C/A and the Galileo E1-B Safety of Life service. The paper discusses various spoofing attack profiles and how the proposed method is able to detect these attacks. This method is relatively low-cost and can be suitable for numerous mass-market applications. This paper is the subject of a pending patent.

Unlicensed drivers : are they high risk?

- Road safety implications of unlicensed driving - Present results from three studies examining: the crash involvement of unlicensed drivers; the impact of licence disqualification on offending; characteristics of unlicensed driving offenders - Countermeasure implications - Discussion of high-risk groups and innovative countermeasure options

Car following model improvement for traffic safety metrics reproduction

Car Following models have a critical role in all microscopic traffic simulation models. Current microscopic simulation models are unable to mimic the unsafe behaviour of drivers as most are based on presumptions about the safe behaviour of drivers. Gipps model is a widely used car following model embedded in different micro-simulation models. This paper examines the Gipps car following model to investigate ways of improving the model for safety studies application. The paper puts forward some suggestions to modify the Gipps model to improve its capabilities to simulate unsafe vehicle movements (vehicles with safety indicators below critical thresholds). The result of the paper is one step forward to facilitate assessing and predicting safety at motorways using microscopic simulation. NGSIM as a rich source of vehicle trajectory data for a motorway is used to extract its relatively risky events. Short following headways and Time To Collision are used to assess critical safety event within traffic flow. The result shows that the modified proposed car following to a certain extent predicts the unsafe trajectories with smaller error values than the generic Gipps model.