نتایج جستجو برای: driver behavior

تعداد نتایج: 654978  

Journal: :International journal of occupational safety and ergonomics : JOSE 2010
Jonathan Bohm Don Harris

In the UK construction site dumpers cause more serious accidents than any other type of construction plant. Previous research has indicated that driver behavior plays a pivotal role in the vast majority of these accidents. This study used a paired comparison technique to explore dumper drivers' and subject matter experts' (SMEs') risk perception and its relationship to risk-taking behavior. It ...

Journal: :Human factors 2012
Gustav Markkula Ola Benderius Krister Wolff Mattias Wahde

OBJECTIVE This article provides a review of recent models of driver behavior in on-road collision situations. BACKGROUND In efforts to improve traffic safety, computer simulation of accident situations holds promise as a valuable tool, for both academia and industry. However, to ensure the validity of simulations, models are needed that accurately capture near-crash driver behavior, as observ...

Journal: :مجله علوم اعصاب شفای خاتم 0
arezou eshaghabadi shefa neuroscience research center, khatam alanbia hospital, tehran, iran leyla bayan shefa neuroscience research center, khatam alanbia hospital, tehran, iran

human factors issues associated with roadway design and operations are critical components of improving highway safety. first, the three major components of highway safety are driver behavior, vehicle safety, and roadway safety. the general philosophy in roadside safety follows the priorities of (1) remove the hazard, (2) relocate the hazard, (3) make the hazard forgiving, and (4) shield the ha...

2011

Modeling driving behavior and emulating driver control strategy is one of essential parts for risk assessment and auxiliary control in the driver assistance system and vehicle active safety system. In this paper, we propose a proposed model is intuitive and can clearly describe the habit and randomness of the lane-change behavior with limit parameters. Especially, by using the proposed model an...

2009
Sohrab Khanmohammadi Mohammad Ali Tinati Sehraneh Ghaemi Mohammad Ali Badamchizadeh

The study of human behavior during driving is of primary importance for the improvement of drivers' security. This study is complex because of numerous situations in which the driver may be involved. In this paper, we propose a hierarchical fuzzy system for human in a driver-vehicle-environment system to model takeover by different drivers. The driver’s behavior is affected by the environment. ...

Journal: :Accident; analysis and prevention 2014
Heikki Summala Sirpa Rajalin Igor Radun

Permanent individual differences in driver behavior and accident risk have long been under active debate. Cognitive and personality factors have correlated with risky driving indicators in cross-sectional studies, and prospective cohort studies are now increasingly revealing early antecedents of risky behavior and injury mortality in adult age, with connections to stable personality traits. How...

Hamid Khanipour, Khodabakhsh Ahmadi, Seyed Abbas Tavallaii,

Objective: There are not enough good instruments for assessing driving behavior in Iran. This study aimed to investigate factor structure, convergent and divergent validity, and reliability of driving behavior survey (DBS). Methods: The study method is descriptive and survey. Participants comprised 147 Sample selected by convenient method. Iranian drivers who completed DBS, Manc...

2000
U. Handmann I. Leefken A. Steinhage

The behavior planning of a vehicle in real world traffic is a difficult problem to be solved. If different hierarchies of tasks and purposes are built to structure the behavior of a driver, complex systems can be designed. But finally behavior planning in vehicles can only influence the controlled variables: steering angle and velocity. In this paper a behavior planning for a driver assistance ...

Ghaffari, Khodayari,

Car-following models, as the most popular microscopic traffic flow modeling, is increasingly being used by transportation experts to evaluate new Intelligent Transportation System (ITS) applications. A number of factors including individual differences of age, gender, and risk-taking behavior, have been found to influence car-following behavior. This paper presents a novel idea to calculate ...

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