Driver behavior models have been used as input to self-coaching, accident prevention studies, and developing driver-assisting systems. In recent years, driver recognition has revolutionized autonomous vehicles (AVs) traffic management studies. This comprehensive survey provides an up-to-date review of the different modeling approaches. heterogeneous streets where humans operate simultaneously, ...

In the signal planning process, ERTMS speed profiles based on track nature needs to be complemented with additional constraints. The base profile resolving allowed speed, often includes several changes which can difficult for train driver follow. One approach deal this problem is filter profile, reducing number of and giving more time attention. This paper presents effects a filtering principle...

conclusions the seatbelt wearing rate among the study participants was much lower than the 90% rate reported among iranian drivers in 2010. mandating seatbelt use, as in most countries, will be more effective if a combination of factors such as changes in vehicle design, road safety, and driver and passenger behavior are taken into account. background seatbelts are a relatively low-cost safety ...

This paper examines the role of the human driver as the primary control element within the traditional driver-vehicle system. Lateral and longitudinal control tasks such as path-following, obstacle avoidance, and headway control are examples of steering and braking activities performed by the human driver. Physical limitations as well as various attributes that make the human driver unique and ...

Driving behavior in traffic has been modeled quite successfully in simulation software using predefined car-following models rules. However, because most car-following models assume that vehicles could keep a safety distance away to avoid crash related conflicts; they are not capable to capture naturalistic driving behavior during safety-critical events. Also, vehicle detailed lateral maneuveri...

Type-II dilemma zones are the segment of roadway approaching an intersection where drivers have difficulty deciding to stop or proceed at the onset of the circular yellow (CY) indication. Signalized intersection safety is improved when dilemma zones are correctly identified and steps are taken to reduce the likelihood that vehicles are caught in such zones. This research purports that using dri...

The Driver Behavior Questionnaire (DBQ) is used to measure aberrant driver behavior by asking drivers how often they engage in various aberrant driver behaviors. Since the development of the original DBQ, several modified versions have been developed. The difference between the various versions is that new items are added or existing items modified or excluded. However, despite the differences,...

This paper presents an overview of methods used when measuring driver behavior and performance. Simulators, test-track, on-road, field-operational-trials, and naturalisitic methods are described. Useful driver measures are described. Three examples are provided of the application of driver measurement in product design

Intelligent Transportation Systems (ITS) applications require a thorough understanding of drivers' route choice behavior in a complex network under real-time information. The purpose of this paper is to describe and model driver route choice behavior in a road network based on real time traffic information at the disaggregate individual level and from a psychological decision-making process per...

From April 2004 to March 2007, a research project entitled “Situation and Intent Recognition for Risk Finding and Avoidance” was conducted. This project includes the following research topics: (i) estimation of driver’s state, (ii) driver behavior modeling, (iii) intelligent information processing methods for situation recognition and visual enhancement. This paper introduces several researches...