Driver Celeration Behavior and the Prediction of Traffic Accidents
نویسندگان
چکیده
منابع مشابه
Driver celeration behavior and the prediction of traffic accidents.
A study was undertaken to investigate whether driver celeration (overall mean speed change) behavior can predict traffic accident involvement. Also, to test whether acceleration, deceleration or the combined celeration measure was the better predictor. Bus driver celeration behavior was measured repeatedly in real traffic, driving en route, and correlated with accidents for which the drivers we...
متن کاملLong-term prediction of traffic accident record from bus driver celeration behavior.
Driver celeration (speed change) behavior of bus drivers measured a number of times was used to predict their culpable accidents over increasing time periods. It was found that predictive power was considerable (>.30 correlation) over 5 years of time with aggregated celeration (mean of repeated measurements) as independent variables, and there were also indications that power reached even furth...
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Overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. In this study, two novel prediction models for overtaking behavior are proposed. These models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (MANFIS). They are validated at microscopic level and are able to simulate and predict the fut...
متن کاملThe Youth and Experience of Traffic Accidents (Grounded Theory)
Background: Traffic accidents are among major causes of death all over the world. In Iran, it has become a social problem, with lots of people involved in; and the youth include the most victims of traffic accidents. Objectives: The main objective of this research is to review the experience of the youth (18–24 years old in Tehran, Iran) with traffic accidents, and to develop a model t...
متن کاملModeling and Prediction of Human Driver Behavior
Knowledge of the current and future driving context could facilitate the interaction between human driver and advanced driver assistance systems. A driver's intended actions (the future context) can be inferred from a number of sources, including the driver's current control actions, their visual scanning behavior, and the traffic environment surrounding them. In an approach similar to hidden M...
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ژورنال
عنوان ژورنال: International Journal of Occupational Safety and Ergonomics
سال: 2006
ISSN: 1080-3548,2376-9130
DOI: 10.1080/10803548.2006.11076690