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The problem surrounding the ever-increasing toll of death and injury arising from road accidents is one which is receiving increasing attention as the number of vehicles on the road continues to rise. While it has not been possible to isolate any one factor as the sole or even primary cause of road accidents, several surveys have shown that in many accidents alcohol has been a contributory factor by affecting the faculties of the driver of pedestrian. The thesis then goes on to discuss factors causing individual differences in response to the same blood alcohol concentration and the correlation between impairment of driving and blood alcohol concentration.

The problem surrounding the ever-increasing toll of death and injury arising from road accidents is one which is receiving increasing attention as the number of vehicles on the road continues to rise. While it has not been possible to isolate any one factor as the sole or even primary cause of road accidents, several surveys have shown that in many accidents alcohol has been a contributory factor by affecting the faculties of the driver of pedestrian. The thesis then goes on to discuss factors causing individual differences in response to the same blood alcohol concentration and the correlation between impairment of driving and blood alcohol concentration.

<p>This master thesis deals with experimental data that were collected through a crash avoidance experiment (which was lead by Professor Lennart Strandberg) in February and March 1990. Fifty-two ordinary drivers were instructed to perform two different kinds of manoeuvres on ice to determine the effectiveness of antilock brakes and of four tyre configurations. Results were reported at the 1991 ESV Conference.</p><p>The first aim of this master thesis is to check and revise the measured data (used by Prof. Strandberg in courses at Linköping University). Checking out many hours of video recordings from onboard cameras reveals various protocol inconsistencies and errors, which in some cases it is not possible to correct. This work might increase the reliability of any further analysis of these data.</p><p>The second aim is to elaborate on the revised data and to test the hypothesis that quick steering is a key factor to not lose control of the car during a crash avoidance manoeuvre. Different variables are introduced and used to estimate the steering wheel velocity and lateral friction use.</p><p>The results show linear (positive) correlations between lateral friction use and steering wheel velocity. The greatest steering wheel velocities appear in the tests with loss-of-control and reach values up to 1180 degrees per second. However, the 1990 experimental layout was not intended for this type of research questions and it seems difficult to determine the causal relationship between quick steering and control of the car. Some cases of excessive steering input might have occurred. The results indicate that quick steering by itself is not enough to guarantee the total control of the car. An early reaction to the skid might be necessary too. Evidently, further research is needed.</p>

This master thesis deals with experimental data that were collected through a crash avoidance experiment (which was lead by Professor Lennart Strandberg) in February and March 1990. Fifty-two ordinary drivers were instructed to perform two different kinds of manoeuvres on ice to determine the effectiveness of antilock brakes and of four tyre configurations. Results were reported at the 1991 ESV Conference. The first aim of this master thesis is to check and revise the measured data (used by Prof. Strandberg in courses at Linköping University). Checking out many hours of video recordings from onboard cameras reveals various protocol inconsistencies and errors, which in some cases it is not possible to correct. This work might increase the reliability of any further analysis of these data. The second aim is to elaborate on the revised data and to test the hypothesis that quick steering is a key factor to not lose control of the car during a crash avoidance manoeuvre. Different variables are introduced and used to estimate the steering wheel velocity and lateral friction use. The results show linear (positive) correlations between lateral friction use and steering wheel velocity. The greatest steering wheel velocities appear in the tests with loss-of-control and reach values up to 1180 degrees per second. However, the 1990 experimental layout was not intended for this type of research questions and it seems difficult to determine the causal relationship between quick steering and control of the car. Some cases of excessive steering input might have occurred. The results indicate that quick steering by itself is not enough to guarantee the total control of the car. An early reaction to the skid might be necessary too. Evidently, further research is needed.

abstract: Driving is the coordinated operation of mind and body for movement of a vehicle, such as a car, or a bus. Driving, being considered an everyday activity for many people, still has an issue of safety. Driver distraction is becoming a critical safety problem. Speed, drunk driving as well as distracted driving are the three leading factors in the fatal car crashes. Distraction, which is defined as an excessive workload and limited attention, is the main paradigm that guides this research area. Driver behavior analysis can be used to address the distraction problem and provide an intelligent adaptive agent to work closely with the driver, fay beyond traditional algorithmic computational models. A variety of machine learning approaches has been proposed to estimate or predict drivers’ fatigue level using car data, driver status or a combination of them. Three important features of intelligence and cognition are perception, attention and sensory memory. In this thesis, I focused on memory and attention as essential parts of highly intelligent systems. Without memory, systems will only show limited intelligence since their response would be exclusively based on spontaneous decision without considering the effect of previous events. I proposed a memory-based sequence to predict the driver behavior and distraction level using neural network. The work started with a large-scale experiment to collect data and make an artificial intelligence-friendly dataset. After that, the data was used to train a deep neural network to estimate the driver behavior. With a focus on memory by using Long Short Term Memory (LSTM) network to increase the level of intelligence in two dimensions: Forgiveness of minor glitches, and accumulation of anomalous behavior., I reduced the model error and computational expense by adding attention mechanism on the top of LSTM models. This system can be generalized to build and train highly intelligent agents in other domains. / Dissertation/Thesis / Doctoral Dissertation Computer Engineering 2020

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Gegenstand dieser Arbeit ist die Bewertung und Durchführung der Fusion von zwei Datensätzen, die auf Basis der Statistik der Straßenverkehrsunfälle des statistischen Bundesamtes konstruiert werden. Für die Fusionierung wird die Methode der statistischen Datenfusion angewendet. Die zu fusionierenden Datensätze werden auf die Ausgangslage der Datenfusion und Unfalldatenbanken angepasst. Anhand der Zusammenhangsstärke und Verteilung werden die passenden Variablen, die für die Datenfusion verwendet werden können, identifiziert und ausgewählt. Für die Datenfusion werden verschiedene nichtparametrische Verfahren unter der bedingten Unabhängigkeitsannahme (Distanz-Hot-Deck, Random-Hot-Deck) und unter der Beibehaltung der Unsicherheit (Imprecise Imputation) durchgeführt. Zusätzlich werden Qualitätsstufen mit einbezogen, um die Auswirkung von veränderten Variablen auszuwerten. Dabei zeigt sich, dass die Datenfusion unter der bedingten Unabhängigkeit allgemein eine unsichere Methode ist, die jedoch unter Umständen für bivariate Analysen vielversprechende Ergebnisse erzielen kann.:1. Einleitung 2. Grundlagen 3. Aufbau der simulierten Datensätze 4. Datenfusion 5. Ergebnisse 6. Zusammenfassung und Ausblick