Modelling the effects of road traffic safety measures

Lu, Meng

doi:10.1016/j.aap.2005.11.008

Cited by 25 publications

(14 citation statements)

References 6 publications

(9 reference statements)

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“…Driver assistance systems (DAS) offer a means to enhance, among other things, active and integrated safety. However, in order to maximize their contribution to overall traffic safety, an increased market penetration is required (Lu 2006). This can be achieved by raising awareness for DAS and their benefits throughout the population, or by regulating their implementation by law.…”

mentioning

confidence: 99%

Three Decades of Driver Assistance Systems: Review and Future Perspectives

Bengler

Dietmayer

Färber

et al. 2014

IEEE Intell. Transport. Syst. Mag.

736

325

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This contribution provides a review of fundamental goals, development and future perspectives of driver assistance systems. Mobility is a fundamental desire of mankind. Virtually any society strives for safe and efficient mobility at low ecological and economic costs. Nevertheless, its technical implementation significantly differs among societies, depending on their culture and their degree of industrialization. A potential evolutionary roadmap for driver assistance systems is discussed. Emerging from systems based on proprioceptive sensors, such as ABS or ESC, we review the progress incented by the use of exteroceptive sensors such as radar, video, or lidar. While the ultimate goal of automated and cooperative traffic still remains a vision of the future, intermediate steps towards that aim can be realized through systems that mitigate or avoid collisions in selected driving situations. Research extends the state-of-the-art in automated driving in urban traffic and in cooperative driving, the latter addressing communication and collaboration between different vehicles, as well as cooperative vehicle operation by its driver and its machine intelligence. These steps are considered important for the interim period, until reliable unsupervised automated driving for all conceivable traffic situations becomes available. The prospective evolution of driver assistance systems will be stimulated by several technological, societal and market trends. The paper closes with a view on current research fields.

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mentioning

confidence: 99%

Three Decades of Driver Assistance Systems: Review and Future Perspectives

Bengler

Dietmayer

Färber

et al. 2014

IEEE Intell. Transport. Syst. Mag.

736

325

View full text Add to dashboard Cite

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“…For ADAS safety effects, data are not usually available, but may be estimated in terms of differences with infrastructure effects (see e.g. [5]). Besides traffic safety, the evaluation should take into account a range of other aspects, some of which can be expressed in measurable units with different levels of certainty, whereas others can only be valued by some scoring approach.…”

Section: Requirements For the Methods To Evaluate Safety Related Adas mentioning

confidence: 99%

“…The data cover the period 1998-2010, and the results allow good estimates of the values of attributes for the DVI scenarios (Table 3, k = 1-28 for S 1 , S 2 , S 5 and S 6 ). The safety effects of ADAS (see Table 3, k = 1-28 for S 3 , S 4 , S 5 and S 6 ) are derived from these values by applying the microscopic comparative analysis approach developed by Lu [5]. Using this method, absolute effects for ADAS functions may be estimated on the basis of estimation of relative effects of ADAS functions compared with DVI functions with similar effects and available data about absolute effects of the concerning DVI functions.…”

Section: Establish Values and Create The Attributes (K) Against Altermentioning

confidence: 99%

Application of grey relational analysis for evaluating road traffic safety measures: advanced driver assistance systems against infrastructure redesign

Wevers²

2007

IET Intell. Transp. Syst.

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Application of grey relational analysis for evaluating road traffic safety measures: advanced driver assistance systems against infrastructure redesign.Lu, Meng; Wevers, Kees Link to publication Citation for published version (APA): Lu, M., & Wevers, K. (2007). Application of grey relational analysis for evaluating road traffic safety measures: advanced driver assistance systems against infrastructure redesign. IET Intelligent Transport Systems, 1(1), 3-14. DOI: 10.1049/iet-its-20060022 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ABSTRACT:Two of the main approaches to improve traffic safety are extensive redesign of the physical road infrastructure and large-scale implementation of advanced driver assistance systems. These approaches are to a large extent substitutes, but also partly complementary. Evaluation of alternative strategic investments in either of the two, and combinations, is complicated by limitations in availability, reliability and accuracy of data. Some of the evaluation methods most commonly used in transportation research are reviewed, and a method that is rather unknown in the western world and that is especially capable of dealing with part of these limitations is introduced. Grey relational analysis (GRA) -a normalisation-based method -provides a simple and transparent evaluation procedure from which a clear-cut ranking order of strategies derives. The application of GRA to the stated evaluation problem is illustrated with a case study in The Netherlands. INTRODUCTIONIn The Netherlands in the early 1990s a new concept named inherent safety originated to improve road traffic safety [1]. Infrastructure related measures are the most prominent part of this inherent safety philosophy and are known as the concept duurzaam veilige infrastructuur (DVI, inherently safe infrastructure). It was inspired by the fact that most traffic accidents are caused by human error. To counteract this, the traffic system should be adapted to avoid unintended use of the road infrastructure, encounters at high differences in speed and direction and uncertainty of the road users. The DVI concept was further developed during the mid 1990s and became an integral part of Dutch national traffic policy in 1998. DVI is an extensive and decentralised program, covering several decades and substantial investments to adapt the road network based on the principles of functionality, homogeneity and predictability, and intended to make the road more user-friendly. Main obj...

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“…Hence the study needs to engage in process evaluation questions in order to analyze causes of success or failure" [27] (p. 2). However, the use of the term causal chain or model in evaluation is not to be confused with the statistical use of the term [40], although causal chains or models used in evaluation research to represent the putative mechanisms or pathways of change can form the basis of a measurement model in statistical analyses [41].…”

Section: Conceptual Problemsmentioning

confidence: 99%

Conceptual and Methodological Issues in Evaluations of Road Safety Countermeasures

Vingilis¹

2016

Safety

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Abstract:Researchers have a long history in the conduct of evaluations of road safety countermeasures. However, despite the strengths of some evaluative road safety evaluations that align with previous and current thinking on program evaluation, few published road safety evaluations have followed standard conceptualization and methodology outlined in numerous program evaluation textbooks, journal articles and Web-based handbooks. However, conceptual and methodological challenges inherent in many evaluations of road safety countermeasures can affect causal attribution. Valid determination of causal attribution is enhanced by use of relevant theory or hypotheses on the putative mechanisms or pathways of change and by the use of a process evaluation to assess the actual implementation process. This article provides a detailed description of the constructs of causal chain, program logic models and process evaluation. This article provides an example of how these standard methods of theory-driven evaluation can improve the interpretation of outcomes and enhance causal attribution of a road safety countermeasure.

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Modelling the effects of road traffic safety measures

Cited by 25 publications

References 6 publications

Three Decades of Driver Assistance Systems: Review and Future Perspectives

Three Decades of Driver Assistance Systems: Review and Future Perspectives

Application of grey relational analysis for evaluating road traffic safety measures: advanced driver assistance systems against infrastructure redesign

Conceptual and Methodological Issues in Evaluations of Road Safety Countermeasures

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