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This paper proposes a new method to analyze driver behavior. Analysis of the behavior is done through the observation of the time-evolution of parameters of simple driver models. The behavior analysis is decomposed in two steps. First the driver model have to be selected or designed to represent the average behavior of a large sample of drivers. Then personal driver's behavior evolution can be analyzed...
This paper presents a driver assisting system for cooperative cruising of multiple cars. In order to account for personal difference of individual drivers, each driver's vehicle following skill on expressways is identified as a PrARX model, a continuous approximation of hybrid dynamical system. The PrARX model describes the driver's logical decision making as well as continuous maneuvering in a uniform...
This paper presents a novel personalized driver assistance system(PDAS) based on the model predictive control(MPC) together with a continuous/discrete hybrid dynamical system model of the driving behavior. First of all, the driving behavior is identified as the piecewise ARX model. Then, it is explicitly embedded in the optimization problem for finding the optimal assisting output. Since the driving...
This paper presents the identification technique of the personalized potential map to design the obstacle avoidance assisting control. First of all, the personalized potential map, which is considered to represent the driver's risk feeling to environment is learned by using the obstacle avoidance driving data. Next, the reference path is calculated with gradient method considering the vehicle dynamics...
Recently, there has been a growing demand for the design principle of assisting system. This paper presents a new framework of the assisting system design based on a continuous/discrete hybrid system model of the driving behavior and the model predictive control scheme. First of all, the driving behavior is identified as the piecewise ARX model, then it is explicitly embedded in the optimization problem...
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