Browse Publications Technical Papers 2007-01-3584
2007-08-05

Development of Ergonomic Driver Model Considering Human Factors 2007-01-3584

It is significant to consider human factors for the design of the intelligent safety vehicle beyond the general vehicle's performance. Therefore, the development of an ergonomic driver model to imitate the human driving pattern is essential for the advanced vehicle research considering the human factors. In this paper, several tests for the study of the human factors are conducted, and the control logic to describe the human driving pattern is presented. First of all, human factors to influence a vehicle operation are assumed to be consisted of two major components, the preview distance and the human neuromuscular response. Secondly, the control logic is consisted of the finite preview optimal control algorithm to account for human factors mentioned previously. Finally, the ergonomic driver model is developed based on these and simulated with Carsim software in SIMULINK environment. The simulation results are compared to the DLC (Double Lane Change) field test data in terms of driving experience classified by novice and expert. It is concluded that the ergonomic driver model presented in this paper is sufficient to describe the human driving pattern.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 18% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

Motion Prediction and Inverse Dynamics for Human Upper Extremities

2005-01-1408

View Details

TECHNICAL PAPER

Simulating Driver Vision Using a CAD Software-New Technologies for Predicting Visual Comfort, Distraction, and Glare in the Driving Environment

2005-01-0446

View Details

TECHNICAL PAPER

Improved Perception for Automated Vehicle Using Multi-Pose Camera System

2017-01-1401

View Details

X