ISA implementation and uncertainty: A literature review and expert elicitation study

Pas, J.W.G.M. van der; Marchau, V.A.W.J.; Walker, Warren E.; Wee, G.P. van; Vlassenroot, Sven

doi:10.1016/j.aap.2010.11.021

Cited by 24 publications

(6 citation statements)

References 31 publications

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“…In addition to the above mentioned papers, the review on the ISA applications are on the basis of special issue of Accident Analysis & Prevention with papers by Carsten [9], Lai and Carsten [10], Lahrmann et al [11,12], Chorlton et al [13], van der Pas et al [14] and Young et al [15]. The ISA applications have been widely studied in Europe and the World.…”

Section: Review On Previous Studiesmentioning

confidence: 99%

Analysis on acceptance of elderly drivers for intelligent speed adaptation using a driving simulator

Ando¹,

Mimura²

2015

WIT Transactions on Ecology and the Environment

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This paper aims to make a discussion on acceptability of elderly drivers for Intelligent Speed Adaptation (ISA) in Japan. In Japan, the issue focusing on the traffic safety of elderly people has become one of most important issues because Japan has been the most representative country to be the rapidly ageing society. As a measure of traffic safety, the ISA is considered as an effective measure to reduce the number of traffic accidents in the field of ITS (Intelligent Transportation Systems) because the adaptable driving speeds let the traffic flow smoothly and stably. Generally, there are three modes regarding the ISA: 1. advisory mode, in which the driving speed information is provided to the driver as the system detects that the vehicle is moving beyond the enforced speed limit; 2. mandatory mode, by which the driving speed is regulated by the ISA so as not to exceed the allowable speed; 3. voluntary mode, which extricate the mandatory mode and grant the driver full control of the vehicle's acceleration. Normally, the mandatory type is the most effective one but is difficult to introduce because of too many obstacles such as the freedom of personal choice, the limitation for the automobile technology and so on. Comparatively the advisory type seems to be the easiest one to introduce. The analysis is based on an experiment by using a driving simulator. The targeted issues focus on the acceptances of both advisory mode and mandatory mode for the elderly driver because grasping of the acceptances for the ISA is absolutely essential to implement the novel system for the ageing society of Japan. As the conclusion of the paper, the acceptances of the elderly drivers for both mandatory ISA and advisory ISA on the community roads are generally high.

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Section: Review On Previous Studiesmentioning

confidence: 99%

Analysis on acceptance of elderly drivers for intelligent speed adaptation using a driving simulator

Ando¹,

Mimura²

2015

WIT Transactions on Ecology and the Environment

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“…tailgating, higher degrees of frustration), and increased time needed for overtaking. 50 One could imagine what might happen if, for example, the localisation technology of limiting ISA were to erroneously locate a car along a stretch of a road with a speed limit of 50 km/h, when the driver is in fact driving on an adjacent, parallel highway.The objection grants drivers the right not to accept such additional and partially involuntary risks and thus to reject ISA. This objection is, however, not valid.…”

Section: Objection I: Isa Introduces New Safety Risksmentioning

confidence: 99%

The Moral Case for Intelligent Speed Adaptation

Smids

2015

J Applied Philosophy

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IntroductionIn this article, I will argue that there is a moral case for setting mandatory speed alerts and speed limiters in all cars. These technologies are fairly intrusive. Nevertheless, my claim is that we should accept these measures in our cars to solve a major problem in road safety: speeding. In 2010, in Europe, more than 30,000 people were killed and 1.4 million were injured in road traffic, with speeding as a major cause. Current enforcement measures work to some extent but are clearly not sufficient. Intelligent Speed Adaptation (ISA) systems are highly effective additional measures to counter speeding. Advisory ISA warns drivers if they transgress the speed limits. Limiting ISA makes speeding impossible, and consequently this technology can prevent up to 50% of fatal accidents. 1 Intelligent Speed Adaptation is indispensable for reducing the risks of car driving to a more acceptable level. Many philosophers uncritically refer to driving as an example of acceptable risk imposition.2 The benefits of car driving are considered to justify the risks involved, which are perceived as being relatively low. Car driving is regarded as a morally acceptable practice from which we all benefit. However, as I will argue below, this view is problematic even with regard to lawful car driving. Moreover, in appealing to car driving as an example of acceptable risk imposition, one fails to appreciate the fact that the practice involves massive transgressions of the rules. Pedestrians, cyclists, and lawful drivers have good reason to reject the risks involved in our actual car driving practice. No tacit consent to the risks of driving can be inferred from individuals' choice to walk, cycle, and drive.

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“…Uncertainty analyses have been performed as part of risk assessments in various studies in different fields and applications: characterisation of uncertainty in a chemical plant based on an analytical network process (Kumar and Maiti 2012); use of an integrated approach to modelling uncertainty in risk assessment (Arunraj, Mandal, and Maiti 2013); study of the uncertainty related to injury exposure risks (McCauley-Bell and Badiru 1992;Vadeby 2004); ecological risks (Ferson and Oberkampf 2009;Hobday et al 2011); chemical consequence risks (Quelch and Cameron 1994); software development risks (Lowell and Benke 2006); transportation risks (Koornneef et al 2010); dam safety risks (Chauhan and Bowles 2004); human health risks (Kentel and Aral 2004;Kumar and Maiti 2012); microbial risks (Davidson, Ryks, and Fazil 2006); bridge risks (Wang and Elhag 2007); risks relating to construction projects (Zavadskas, Turskis, and Tamošaitiene 2010;Badri, Nadeau, and Gbodossou 2012;Pinto, Ribeiro, and Nunes 2012;van der Pas et al 2012); and supply chain risk management (Hallikas, Virolainen, and Tuominen 2002;Samvedi, Jain, and Chan 2013;Käki et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Uncertainty quantification in dynamic system risk assessment: a new approach with randomness and fuzzy theory

Abdo

Flaus

2016

International Journal of Production Research

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International audienceQuantifying uncertainty during risk analysis has become an important part of effective decision-making and health risk assessment. However, most risk assessment studies struggle with uncertainty analysis and yet uncertainty with respect to model parameter values is of primary importance. Capturing uncertainty in risk assessment is vital in order to perform a sound risk analysis. In this paper, an approach to uncertainty analysis based on the fuzzy set theory and the Monte Carlo simulation is proposed. The question then arises as to how these two modes of representation of uncertainty can be combined for the purpose of estimating risk. The proposed method is applied to a propylene oxide polymerisation reactor. It takes into account both stochastic and epistemic uncertainties in the risk calculation. This study explores areas where random and fuzzy logic models may be applied to improve risk assessment in industrial plants with a dynamic system (change over time). It discusses the methodology and the process involved when using random and fuzzy logic systems for risk management

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ISA implementation and uncertainty: A literature review and expert elicitation study

Cited by 24 publications

References 31 publications

Analysis on acceptance of elderly drivers for intelligent speed adaptation using a driving simulator

Analysis on acceptance of elderly drivers for intelligent speed adaptation using a driving simulator

The Moral Case for Intelligent Speed Adaptation

Uncertainty quantification in dynamic system risk assessment: a new approach with randomness and fuzzy theory

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