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The Swedish National Road Administration (SNRA), the Japanese Automobile Research Institute (JARI) and the Federal Highway Research Institute (BASt) are co-operating in the International Harmonized Research Activities on Intelligent Transportation Systems (IHRA-ITS). Under this umbrella a joint study was conducted. The overall objective of this study was to contribute to the definition and validation of a "battery of tools" which enables a prediction and an assessment of changes in driver workload due to the use of in-vehicle information systems (IVIS) while driving. In this sense \"validation\" means to produce empirical evidence from which it can be concluded that these methods reliably discriminate between IVIS which differ in terms of relevant features of the HMI-design. Additionally these methods should also be sensitive to the task demands imposed on the driver by the traffic situation and their interactions with HMI-design. To achieve these goals experimental validation studies (on-road and in the simulator) were performed in Sweden, Germany and Japan. As a common element these studies focused on the secondary task methodology as an approach to the study of driver workload. In a joint German-Swedish on-road study the Peripheral Detection Task (PDT) was assessed with respect to its sensitivity to the complexity of traffic situations and effects of different types of navigation systems. Results show that the PDT performance of both the German and the Swedish subjects reflects the task demands of the traffic situations better than those of the IVIS. However, alternative explanations are possible which will be examined by further analyses. Results of this study are supplemented by the Japanese study where informational demands induced by various traffic situations were analysed by using a simple arithmetic task as a secondary task. Results of this study show that relatively large task demands can be expected even from simple traffic situations.
This article describes the development of techniques to minimize automobile driver distraction when an in-vehicle information systems (IVIS) that requires visual attention is in use. The authors explain the visual occlusion technique that has been developed as a tool for the assessment of the in-vehicle human-machine interface (HMI) of IVIS in terms of visual demands. The authors addressed an unresolved issue in previous standardized experimental protocols - how subjects make use of the occluded intervals and how this might affect the assessments of visual demands. This study protocol assumed that subjects would continue task performance during occluded periods, leading to an underestimation of visual demands by the occlusion parameters "total shutter open time" (TSOT) and the "occlusion index". The authors predicted that a simple additional loading task to be performed in parallel could disrupt IVIS task performance during the occluded period leading to higher estimations of visual demands by TSOT and R. Their prediction was confirmed by the study findings. The results also showed that under the condition of additional auditory tracking, TSOT and R discriminated more clearly between an "easy" and a "difficult" IVIS task than under the standard condition. They conclude with a discussion of the implications of this research for designers of assessment tools for driver visual distractions.
Rural roads (highways) in Germany have to provide both high road safety and an appropriate level of service in accordance with their function in the road network. Single carriageway rural roads often underperform these expectations. An analysis of severe accidents on rural roads found two main contributing factors. First, high or inappropriate speed leads to accidents caused by the loss of control of the vehicle. Second, unsafe passing manoeuvres related to a misjudgement of sight distance, speed of oncoming vehicles or a misjudgement of the driver vehicle's acceleration capability. On the five roads where unsafe passing manoeuvres were a main contributing factor to accident occurrence, single short passing lanes (600 m to 1.2 km) were built to provide safe passing. On the remaining two-lane sections passing was prohibited by road signs and road marking. This paper investigates the effect of this design change on the accident situation and on traffic flow. The research project is based on a before/after comparison of traffic and accident data. Traffic volume, vehicle types and their velocities as well as the time gaps between the vehicles were recorded at different cross-sections. The result shows a significant improvement in road safety. This improvement was especially noted for severe head-on crashes, which were reduced to almost zero. The analysis of traffic flow on these roads pointed out that the chosen lengths of passing lanes were sufficient for safe passing and thereby reduced the need for dangerous driving behaviour. The recommendations of this research were fundamental for the determination of the design parameters of the second highest design class (EKL 2) in the new German Rural Road Design Guideline (RAL) published in spring 2013.
Immediate user self-evacuation is crucial in case of fire in road tunnels. This study investigated the effects of information with or without additional virtual reality (VR) behavioural training on self-evacuation during a simulated emergency situation in a road tunnel. Forty-three participants were randomly assigned to three groups with accumulating preventive training: The control group only filled in questionnaires, the informed group additionally read an information brochure on tunnel safety, and the VR training group received an additional behavioural training in a VR tunnel scenario. One week later, during the test session, all participants conducted a drive through a real road tunnel in which they were confronted with a collision of two vehicles and intense smoke. The informed and the behaviourally trained participants evacuated themselves more reliably from the tunnel than participants of the control group. Trained participants showed better and faster behavioural responses than informed only participants. Interestingly, the few participants in the control group who reacted adequately to the scenario were all female. A 1 year follow-up online questionnaire showed a decrease of safety knowledge, but still the trained group had somewhat more safety relevant knowledge than the two other groups. Information and especially VR behavioural training both seem promising to foster adequate self-evacuation during crisis situations in tunnels, although long term beneficial behavioural effects have to be demonstrated. Measures aiming to improve users/ behaviour should take individual difference such as gender into account.
In Germany, courses for the restoration of the fitness to drive after licence revocation are provided for different offender groups (alcohol, drug and demerit point offenders). Providers of these courses are by law required to prove the effectiveness of the applied course programs. For the evaluation of effectiveness, the Federal Highway Research Institute (BASt) established specific "Reference Values" in 2002. The objective of the study at hand was to collect valid data in order to renew the old-established Reference Values from 2002. Additionally, data collection aimed at initializing Reference Values for drug offender programs. Over 66,000 drivers were analysed regarding their traffic probation in the three years after licence reinstatement. Offenders were assigned to an offender group (alcohol, drugs and demerit point offenders) based on the reason for prior licence revocation. Different indicators were used as criteria for re-offending: new alcohol or drug records, culpable accident involvement and repeated licence revocation. For each of the offender groups, frequency distributions regarding these indicators were calculated. Frequencies of recidivism are highest for the group of demerit point offenders. Compared to the Reference Values of this group from 2002, frequencies of re-offending increased. Conversely, re-offence frequencies of alcohol offenders are halved compared to the data from 2001. The analysis of the re-offence frequencies of drug offenders reveals an equal amount of re-offenders as in the alcohol offender group. The collected data serve as a good base for renewal of the old-established Reference Values and may be applicable as comparative data for future evaluations The results reveal significant differences between recent data and earlier studies. These may occur due to improvements of the applied programmes, but also due to situational changes, e.g. increased enforcement levels and expansion of the catalogue of offenses which lead to demerit points.
It is commonly agreed that active safety will have a significant impact on reducing accident figures for pedestrians and probably also bicyclists. However, chances and limitations for active safety systems have only been derived based on accident data and the current state of the art, based on proprietary simulation models. The objective of this article is to investigate these chances and limitations by developing an open simulation model. This article introduces a simulation model, incorporating accident kinematics, driving dynamics, driver reaction times, pedestrian dynamics, performance parameters of different autonomous emergency braking (AEB) generations, as well as legal and logical limitations. The level of detail for available pedestrian accident data is limited. Relevant variables, especially timing of the pedestrian appearance and the pedestrian's moving speed, are estimated using assumptions. The model in this article uses the fact that a pedestrian and a vehicle in an accident must have been in the same spot at the same time and defines the impact position as a relevant accident parameter, which is usually available from accident data. The calculations done within the model identify the possible timing available for braking by an AEB system as well as the possible speed reduction for different accident scenarios as well as for different system configurations. The simulation model identifies the lateral impact position of the pedestrian as a significant parameter for system performance, and the system layout is designed to brake when the accident becomes unavoidable by the vehicle driver. Scenarios with a pedestrian running from behind an obstruction are the most demanding scenarios and will very likely never be avoidable for all vehicle speeds due to physical limits. Scenarios with an unobstructed person walking will very likely be treatable for a wide speed range for next generation AEB systems.