Monitoring of Human Driver Behavior by Vehicle Trajectory Reconstruction for Transportation Safety Management
In this paper, we proposed a method of monitoring human driver by reconstructing trajectories which transportation vehicle followed. For safety and management of logistic transportation, it is important to monitor the states of driving behavior through the whole course of path. Since many accidents occur due to the reckless driving of the driver every year, continuous monitoring of the status of commercial vehicles is needed for safety through the entire path from start point to the destination. To monitor the reckless driving, we tried to monitor the trajectory of the vehicle by using vehicle's lateral acceleration signal. Using the correlation between steering angle and lateral acceleration, we could find the relationship between steering angle and acceleration, and finally it is possible to estimate the global direction of vehicle maneuvering. We conducted experiments to find the history of vehicle position on the curved road using Kalman Filter, and classified steering wheel condition (over-steering, and under-steering). The method is applied to central safety management system for safety control of vehicles transporting toxic gases.
Ching Kuo Wang and Jing Guo
G. S. Heo et al., "Monitoring of Human Driver Behavior by Vehicle Trajectory Reconstruction for Transportation Safety Management", Applied Mechanics and Materials, Vols. 300-301, pp. 589-596, 2013