| 11. |
- Anund, Anna, 1964-, et al.
(författare)
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Night-time scenarios in simulators : a prestudy of needs, knowledge and possible solutions
- 2016
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The study in this publication investigates the need and potential for night-time scenarios in driving simulators, determines how such night-time scenarios could be reproduced and identifies the objects most important to reproduce. Although on average 12 out of every 24 hours are dark and considering that most situations are more demanding for drivers in dark conditions, simulations of driving scenarios with different degrees of darkness are not common. The project work comprised a pre-study that involved an investigation of the need and potential of night-time scenarios with the help of input from different stakeholders, consolidation of what is known up to now through benchmarking and state of the art, and a review of available technical solutions. The objective was to identify pros and cons with existing solutions and aspects that are important to consider in order to reproduce the most important components in realistic night-time scenarios. Based on the results, six important use cases were identified and two of these (‘Driver fatigue’ and ‘Objects without light sources’) were studied in more detail. It was concluded that for night-time scenarios there is enough darkness in general in the simulator environment. The question is whether it is possible to create sufficient contrast for objects that are meant to be observable. For daytime scenarios, the light levels in the simulator are clearly unrealistically low and this limitation might even trigger unwanted sleepiness.
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| 12. |
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| 13. |
- Fagerlind, Helen, 1975, et al.
(författare)
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Development of an In-depth European Accident Causation Database and the Driving Reliability and Error Analysis Method, DREAM 3.0
- 2008
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Ingår i: 3rd International Conference ESAR (Expert Symposium on Accident Research). - Hannover, Tyskland.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The SafetyNet project was formulated in part to address the need for safety oriented European road accident data. One of the main tasks included within the project was the development of a methodology for better understanding of accident causation together with the development of an associated database involving data obtained from on-scene or “nearly on-scene” accident investigations. Information from these investigations was complemented by data from follow-up interviews with crash participants to determine critical events and contributory factors to the accident occurrence. A method for classification of accident contributing factors, known as DREAM 3.0, was developed and tested in conjunction with the SafetyNet activities. Collection of data and case analysis for some 1 000 individual crashes have recently been completed and inserted into the database and therefore aggregation analyses of the data are now being undertaken. This paper describes the methodology development, an overview of the database and the initial aggregation analyses.
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| 14. |
- Fischer, Martin, et al.
(författare)
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SPASS : Strengthen Performance Active Safety Simulator
- 2017
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The aim of the SPASS project was to evaluate early development/rapid prototyping of new driver assistance systems by utilizing an advanced driving simulator in combination with a vehicle electrical architecture (including sensors, actuators and HMI). As a case study, the project demonstrated a novel active safety function which was rather well penetrated at Volvo Car Corporation (VCC), i.e. VCC had reference vehicles up and running. The project used VTI’s advanced driving simulator (Sim IV) in Gothenburg to establish a simulator platform for evaluation of driver-system interaction. The objective was to understand the capability of Sim IV when studying active safety functions requiring interaction between road infrastructure, sensors, electrical architecture, actuators and Human-Machine Interaction, and to understand how useful Sim IV is during the ordinary concept development phase at vehicle manufacturers. Warning systems that act when the driver is on the way to unintentionally leave the lane are already available today. The next generation of systems will not only warn the driver but will actively contribute to the steering task. One such system is VCC’s eLKA (emergency lane keeping assistance). As part of the SPASS project a scenario which lead to triggering of the eLKA function was developed and tested. The scenario consisted of rural road driving where drivers were distracted by means of a visual distraction task (reading numbers from a screen, placed at a relative large down angle relative to the view of the forward roadway) and then poured across the median towards an oncoming vehicle by introducing an additional steering angle in the simulated vehicle. An integrated test environment for active safety functions has been developed and evaluated. VCC’s emergency lane keeping assistance system (eLKA) has been used as test case in the evaluation, and the functioning of the eLKA has been validated and approved by experts at VCC.
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| 15. |
- Habibovic, Azra, 1982, et al.
(författare)
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Driver behavior in car-to-pedestrian incidents: An application of the Driving Reliability and Error Analysis Method (DREAM)
- 2013
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Ingår i: Accident Analysis and Prevention. - : Elsevier BV. - 0001-4575. ; 50, s. 554-565
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Tidskriftsartikel (refereegranskat)abstract
- To develop relevant road safety countermeasures, it is necessary to first obtain an in-depth understanding of how and why safety-critical situations such as incidents, near-crashes, and crashes occur. Video-recordings from naturalistic driving studies provide detailed information on events and circumstances prior to such situations that is difficult to obtain from traditional crash investigations, at least when it comes to the observable driver behavior. This study analyzed causation in 90 video-recordings of car-to-pedestrian incidents captured by onboard cameras in a naturalistic driving study in Japan. The Driving Reliability and Error Analysis Method (DREAM) was modified and used to identify contributing factors and causation patterns in these incidents. Two main causation patterns were found. In intersections, drivers failed to recognize the presence of the conflict pedestrian due to visual obstructions and/or because their attention was allocated towards something other than the conflict pedestrian. In incidents away from intersections, this pattern reoccurred along with another pattern showing that pedestrians often behaved in unexpected ways. These patterns indicate that an interactive advanced driver assistance system (ADAS) able to redirect the driver's attention could have averted many of the intersection incidents, while autonomous systems may be needed away from intersections. Cooperative ADAS may be needed to address issues raised by visual obstructions.
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| 16. |
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| 17. |
- Huang, Yu-Hsing, et al.
(författare)
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MTO Factors Contributing to Road Accidents at Intersections
- 2004
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Ingår i: Proceedings of the International Conference on Cognitive System Engineering in Process Control. ; , s. 166-173
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- At present, workin road traffic safety is expanding from injury prevention toinclude also accident prevention. For accident preventive measuresto be effective, knowledge is needed about common causal factorsthat contribute to the occurrence of accidents. This paper aimstowards identification of such common factors for a specific subsetof all road accidents, namely intersection accidents. The data usedfor the study consists of in-depth investigation material fromsixteen intersection accidents that have been investigated by amulti-disciplinary accident investigation team. Data analysis wasperformed using DREAM, a MTO based accident investigation method.The results indicate that cognitive bias, hidden information,inadequate design of traffic environment, and competing task arecommon contributing factors of intersection accidents. Also, thedistribution of factors for different collision path scenarios wasstudied, and several patterns in the distribution were discovered.These patterns were then compared to the results of another studywith a similar aim, but based on database statistics rather thatin-depth data. The conclusion of the comparison is that the DREAMmethod, in combination with in-depth accident data, provides adeeper and more detailed insight into how and why different factorscontribute to accidents, and these insights are well suited foraccident preventive work.
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| 18. |
- Karlsson, MariAnne, 1956, et al.
(författare)
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D1.1. Integrated Framework. Deliverable to the MeBeSafe project
- 2018
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The MeBeSafe project intends to develop, implement and validate interventions that direct road users (drivers and cyclists) towards safer behaviour in common traffic situations which carry an elevated risk. More specifically, the aim is to change habitual traffic behaviour using different nudging interventions, i.e. subconsciously pushing road users in a desired direction without being prohibitive against alternative choices of action. The project will also compare different ways of coaching and evaluate the effect of a combination of nudging and coaching. This deliverable, D1.1 Integrated Framework, describes the work completed within WP1 of the MeBeSafe project. Based on literature reviews, interviews with academic and non-academic experts, discussions and workshops, the deliverable: (i) describes the key characteristics of nudging and coaching respectively; (ii) presents a framework that integrates the two, taking into consideration (in particular) time and frequency; (iii) describes underlying theories and models of relevance for understanding road user behaviour; (iii) explains road user profiles or characteristics of relevance to consider in the design of the interventions (i.e., in WP2, WP3, and WP4), as well as the design and interpretation of the outcome of the field trials (in WP5); and (iv) presents design considerations, i.e. factors that should be observed when improving on the initial ideas and further develop the design of the nudging and coaching interventions. More detailed design guidelines must be developed as part of the work to be completed in WP2, WP3, and WP4.
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| 19. |
- Ljung Aust, Mikael, 1973, et al.
(författare)
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Accident investigations for active safety at CHALMERS - new demands require new methodologies
- 2007
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Ingår i: Vehicle System Dynamics. - : Informa UK Limited. - 1744-5159 .- 0042-3114. ; 45:10, s. 881-894
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Tidskriftsartikel (refereegranskat)abstract
- In order to develop efficient active safety systems, knowledge about what causes traffic accidents is required. One way to gather such knowledge is through traffic accident investigations. For the needs of active safety, most current accident investigation methodologies do not provide a sufficiently detailed or theoretically anchored analysis. Therefore, new studies need to be carried out using new theoretical frameworks and analysis methods. At CHALMERS, a new methodology called driving reliability and error analysis method has been developed and tried out during recent years. The methodology, as described and exemplified, shows good promise of meeting the needs of active safety accident investigation projects. Results from studies using the methodology also imply consequences for how benefit estimation of new active safety systems should be carried out.
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| 20. |
- Ljung Aust, Mikael, 1973, et al.
(författare)
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Causation patterns and data collection blind spots for fatal intersection accidents in Norway
- 2010
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Ingår i: 4:th International Conference ESAR - Expert Symposium on Accident Research, Hannover, Germany.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Norwegian fatal intersection accidents from the years 2005-2007 were analysed to identify any causation patternsamong their underlying contributing factors, and also to evaluate whether the data collection and documentation proceduresused by the Norwegian in-depth investigation teams produces the information necessary to perform causation patternanalysis. A total of 28 fatal accidents were analysed. Details on crash contributing factors for each driver in each crash werefirst coded using the Driving Reliability and Error Analysis Method (DREAM), and then aggregated based on whether thedriver was going straight or turning. Analysis results indicate that turning drivers to a large extent are faced with perceptiondifficulties and unexpected behaviour from the primary conflict vehicle, while at the same time trying to negotiate ademanding traffic situation. Drivers going straight on the other hand have less perception difficulties. Instead, their mainproblem is that they largely expect turning drivers to yield. When this assumption is violated, they are either slow to react ordo not react at all. Contributing factors often pointed to in literature, e.g. high speed, drugs and/or alcohol and inadequatedriver training, played a role in 12 of 28 accidents. While this confirms their prevalence, it also indicates that most driversend up in these situations due to combinations of less auspicious contributing factors.In terms of data collection and documentation, information on blunt end factors (those more distant in time/space, yetimportant for the development of events) was more limited than information on sharp end factors (those close in time/spaceto the crash). A possible explanation is that analysts may view some blunt end factors as event circumstances rather thancontributing factors in themselves, and therefore do not report them. There was also an asymmetry in terms of reportedobstructions to view due to signposts and vegetation. While frequently reported as contributing for turning drivers, they wererarely reported as contributing for their counterparts in the same accidents. This probably reflects an involuntary focus of theanalyst on identifying contributing factors for the driver legally held liable, while less attention is paid to the driver judgednot at fault. Since who to blame often is irrelevant from a countermeasure development point of view, this underlyinginvestigator mindset needs addressing to avoid future bias in crash investigation reports.
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