Conceptual Development and Performance Assessment for the Deployment Staging of Advanced Vehicle Control and Safety Systems

The contents of this report reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the State of California. This report does not constitute a standard, specification, or regulation. The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the State of California. The authors thank their PATH colleagues Delphine Cody and Bongsob Song for support during this project. The authors acknowledge Greg Larson and Pete Hansra of the California Department of Transportation's (Caltrans') Division of Research and Innovation for their support of this project. ii ABSTRACT This report documents work for Task Order 4230 that was follow-on work to prior research performed at PATH under Task Order 366. The current work continued to expand our understanding of the issues involved with time-staging the deployment of advanced vehicle control and safety systems (AVCSS) to help lead toward future automated highway systems. The time-staging challenge has long been identified as one of the most significant impediments to deployment, particularly because of the " chicken and egg " problem associated with vehicle and infrastructure technology implementation. These " chicken and egg " deployment challenges are also being investigated on an international scale. As part of this project we also conducted a detailed review of the international status of AVCSS development and deployment, in collaboration with the European Commission's STARDUST project and provides a comprehensive picture of the status of these technologies not only in the U.S., but also in Japan and Europe. In terms of the time-staging aspects of AVCSS deployment, heavy vehicle opportunities are likely to develop earliest, however, the largest potential benefits are still likely when the technologies are applied to the much larger population of passenger cars. Automation " , that began to address these issues. In this earlier work, we investigated deployment staging leading to automated highway systems by modeling the effects of driver control assistance systems relative to human driving, including both autonomous and cooperative adaptive cruise control systems, evaluated the effects of such systems on highway traffic flow capacity, and examined institutional issues. That project also served as a precursor to the testing and demonstration of automation …