Agent-Based Driver Abnormality Estimation
نویسندگان
چکیده
For enhancing current driver assistance and information systems with regard to the capability to recognize an individual driver’s needs, we conceive a system based on fuzzy logic and a multi-agent-framework. We investigate how it is possible to gain useful information about the driver from typical vehicle data and apply the knowledge on our system. In a pre-stage, the system learns the driver’s regular steering manner with the help of fuzzy inference models. By comparing his regular and current manner, the system recognizes whether the driver is possibly impaired and betakes in a risky situation. Furthermore, the steering behavior and traffical situation are continuously observed for similar pattern. According to the obtained information, the system tries to conform its assistance functionalities to the driver’s needs.
منابع مشابه
Prediction of Abnormal Personality Components Based on Functional Nervous Systems in Nursing Students of Shiraz University of Medical Sciences
Introduction: The aim of this study was to predict personality components based on functional nervous systems in nursing students of Shiraz University of Medical Sciences. Method: The study population consisted of all nursing students of Shiraz University of Medical Sciences. The sample members were 350 (200 females and 150 males) nursing students who were selected by simple random sampling ...
متن کاملAn extended car following approach using agent based model on evacuation system of micro traffic
We proposed an extended car-following approach on evacuation system of micro traffic. It is based on the agent model. Parameter which is owned by the agent is the velocity. We added one driving behavior in the car-following a smart driver. Characteristics of smart driver he has a concern for the distance between his vehicle with the vehicle in front of him so that he will change the speed based...
متن کاملPii: S0968-090x(02)00025-6
This paper presents an agent-based approach to modelling individual driver behaviour under the influence of real-time traffic information. The driver behaviour models developed in this study are based on a behavioural survey of drivers which was conducted on a congested commuting corridor in Brisbane, Australia. Commuters responses to travel information were analysed and a number of discrete ch...
متن کاملUsing Neural Networks to Improve Behavioural Realism in Driving Simulation Scenarios
This paper describes the development of a neural network driver agent to improve the realism and perceived “intelligence” of autonomous vehicles in driving simulation scenarios. Driver agent refers to simulated entities which have an internal representation or knowledge of the traffic environment through their vision and can determine their own actions using their decision/cognitive capabilitie...
متن کاملA Route Advice Agent that Models Driver Preferences
Generating satisfactory routes for driving is a challenging task because the desirability of a particular route depends on many factors and varies from driver to driver. Current route advice systems present a single route to the driver based on static evaluation criteria, with little or no recourse if the driver finds this solution unsatisfactory. In this paper, we propose a more flexible appro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009