详情

Driver Models for Both Human and Autonomous Vehicles with Different Sensing Technologies and Near-crash Activity

项目名称：	Driver Models for Both Human and Autonomous Vehicles with Different Sensing Technologies and Near-crash Activity
摘要：	This project will develop a multi-agent model with both human drivers and autonomous and semi-autonomous vehicles. The model will build upon successful models used in the Defense Advanced Research Projects Agency (DARPA) Grand Challenge vehicles, and will also incorporate results from the project experience in automotive industry project. This model takes dynamic inputs about the changing situation and behavior of others, and uses mathematical or symbolic processing to carry out the functions required to simulate the perception, attention, cognition, and control behavior of interest. The project will integrate different component models, including control theory models, decision and judgment models, learning classifier systems, joint human-automation system models, and attention models, to build a comprehensive model needed to make predictions in pre-crash situations, and needed to make quantitative estimates of hypothesized safety improvements.These models will be cross-validated and verified using both the driver simulation experiments in Project 1, Pre-crash Multi-vehicle Experimental Analysis Using a Networked Multiple Driving Simulator Facility and data obtained from driving simulator and field driving experiments.
状态：	Active
资金：	332030.00
资助组织：	Research and Innovative Technology Administration
执行机构：	Ohio State University, Columbus
开始时间：	20130930
主题领域：	Highways；Safety and Human Factors；Vehicles and Equipment