Control of Heavy Duty Vehicle

Human Driver Models
Enabling Technologies

1. HUMAN DRIVER MODEL DEVELOPMENT

Task Order 4222

Delphine Delorme, California PATH
cody@path.berkeley.edu, http://www.path.berkeley.edu:81/people/staff/cody_delphine.html

This project is a continuation of MOU369. It project continues and extends the effort on human driver modeling development. The goal is to provide other researchers with a tool for analyzing the effects of ITS systems on conventional driving performance in terms of throughput by reproducing the information processing string developed by the driver. The project will extend and refine the capabilities of the human driver model by developing more processing mechanisms that assess the effectiveness of other driving assistance systems. It will also increase the number of driving parameters that the model should incorporate, and begin to validate the model using data collected during real driving.

2. DEVELOPMENT OF A VEHICLE DATA ACQUISITION SYSTEM FOR NATURALISTIC DRIVING DATA COLLECTION

Task Order 4223

Scott Johnston, California PATH
scottj@path.berkeley.edu

In this project, a vehicle data acquisition system (DAS) will be developed to collect data about how human drivers actually drive. The data will be used to help calibrate and validate the human driver model that is being developed under Task Order 4222. The DAS will be designed to be unobtrusive to the driver of the test vehicle and drivers of other vehicles. It will be capable of recording many driving parameters such as throttle position, acceleration, longitude and latitude, range rate, and presence of adjacent vehicles. Under this project, the needed components for the DAS will be purchased, and data collection and analysis software will be developed and refined, and all will be integrated on a late model passenger car on loan from Caltrans.