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How can we effectively manage the fleets of autonomous vehicles that will soon be traveling our roads?
How can we effectively manage the fleets of autonomous vehicles that will soon be traveling our roads?
Project 2: Smart Connected & Automated Vehicle Fleet Management: Developing Regional Dispatch Decision Support for Congestion Mitigation
Project 2: Smart Connected & Automated Vehicle Fleet Management: Developing Regional Dispatch Decision Support for Congestion Mitigation
The Problem
Autonomous vehicles (AVs) and vehicle-to-vehicle or vehicle-to-infrastructure technologies are a near-term development on our roads. With the arrival of these technologies, we must also consider how to best manage these fleets of vehicles. How will emergency situations be handled? How will remote vehicle management be coordinated by state and local governments? Despite the impending uptake of AVs, we have yet to determine how to effectively manage remote vehicle transportation systems.
Did you know? Autonomous fleet management is an exciting new area in transportation and systems engineering. NC State's ITRE, Duke's HAL, and the UNC Highway Safety Research Center are national leaders on the subject!
Did you know? Autonomous fleet management is an exciting new area in transportation and systems engineering. NC State's ITRE, Duke's HAL, and the UNC Highway Safety Research Center are national leaders on the subject!
Our Research
Our research seeks to understand how a remote vehicle management operations center should be designed and what the scope of tasking and technology should be. While companies producing and running AVs, such as Uber and Lyft, will monitor their own fleets, there is also a need for independent oversight of autonomous and connected vehicle operations for both public safety and accountability. We will develop a supervisory control simulation environment for smart fleet management to evaluate various operational concepts.
Our Goals
Our research will provide state and local governments in-depth planning and design recommendations for future jobs, technologies, and policies related to the impending use of autonomous and connected vehicles on our roads. We will develop a dispatch decision support system that uses artificial intelligence to allow operators the ability to monitor and potentially take action to address emergencies or reduce congestion.
How this work benefits North Carolina
There has never been a principled and independent study in how dispatch services will need to adapt for advanced transportations that include connected and autonomous vehicles (CAVs). This work will establish North Carolina as a thought leader on this essential step for impending autonomous vehicle uptake. It will also allow government agencies to better plan policies and procedures as this technology comes to market.
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