There have been numerous studies in understanding driver behavior for purpose of understanding contributing factors to high accident rates. Driving abnormalities could be one of the many factors affecting accidents and if it can be detected this will help prevent accidents. In this paper we present simple and effective methods for an in-car data acquisition in collecting real time driving data....

The microscopic simulation of traffic operations at a toll plaza entails the detailed understanding of the driver behavior. The lane selection behavior of the driver involves complex inter-vehicle dynamics. This study involves the development of a new methodology for the microscopic simulation of toll plaza operations. Different driver dynamics such as the lane selection probability based on th...

Human Modeling for Autonomous Vehicles: Reachability Analysis, Online Learning, and Driver Monitoring for Behavior Prediction

The Driver Behaviour Questionnaire (DBQ) is widely used around the world to investigate driving behaviours. However, it has several different versions extracted from the 50-items Manchester driver behaviour questionnaire for variety of societies. This study aims to calibrate the DBQ for the Iranian driver population and explore their aberrant driver behaviour. In total, 524 participants (325 me...

The current paradigm for developing products that will match the marketing messaging is flawed because the drivers of product choice and satisfaction based on texture are misunderstood. Qualitative research across 10 years has led to the thesis explored in this research that individuals have a preferred way to manipulate food in their mouths (i.e., mouth behavior) and that this behavior is a ma...

One of the challenges of lane departure warning (LDW) systems is to differentiate between normal lane keeping behavior and lane change events in which drivers simply do not use the lane change indicator. Lane keeping behavior differs between drivers and often between driving scenarios, therefore a static threshold of predicting steering maneuver is not an ideal solution. The objective of the cu...

Drivers’ individual difference is one of the key factors to influence the accuracy of driving behavior model. The accuracy of model should include the effect characteristics of individual difference on driving behavior. The overtaking process was the research object to study the individual characteristics of driving behavior. The operation data of accelerator and steering wheel of each driver w...

This paper explores potential driver behavior changes due to the interactions with advanced vehicle technologies emerging on the market. These technologies, called Advanced Driver Assistance Systems (ADAS) can take control over specific functions of the vehicle, and provide warnings to assist drivers in a variety of driving tasks. These technologies were designed mainly to improve roadway safet...

This study proposes a fuzzy control based methodology to determine information-based network control strategies that are consistent with the controller’s objectives and its estimation of driver response behavior. It is the core of the broader problemwhere the objective is to enhance the performance of a vehicular traffic system through real-time informationbased network control strategies. The ...