Safety and Cost Assessment of Connected and Automated Vehicles

Source Organization:
University:Carnegie Mellon University
Principal Investigator:Chris Hendrickson
PI Contact
Project Manager:
Funding Source(s) and Amounts Provided (by each agency or organization): $75,000.00
Total Dollars:
Agency ID/Contract/Grant Number:
Start and End Dates:
Project Status:Complete
Subject Categories:
Abstract:Connected and automated vehicles should have significant net benefits due to crash reduction (including direct cost savings and associated roadway congestion), enabling greater mobility for the disabled and elderly, and improved fuel economy due to more efficient driving. Congestion reduction due to platooning and smoother merges and more compact and cost efficient land use may also be possible with advanced automated vehicles, especially if autonomous vehicles can use more distant parking or shared vehicles become widespread. Costs of connectivity and automation include the possibility of more driving and the required equipment and software, both in vehicle and in associated infrastructure. This project is using observed crash reductions from partial automation, analytical models and expert elicitation to assess the overall likely benefits and costs of different levels and types of connectivity and automation. The project is intended to help inform decision makers among regional transportation managers, designers of connected and automated vehicle test beds, vehicle makers, transportation policy makers and the general public. Results are to be disseminated in the form of professional papers and policy briefs.
Describe Implementation of Research Outcomes (or why not implemented):
Impacts/Benefits of Implementation (actual, not anticipated):
Project URL: