Mobility

Mobility

CCAT advocates for the implementation of new infrastructure to accommodate vehicles with advanced levels of automation. This may entail making adjustments to the existing physical infrastructure and establishing a sophisticated digital infrastructure to facilitate the operation of connected and autonomous vehicles (CAVs), especially in complex traffic scenarios. CCAT explores and develops cooperative driving automation (CDA) applications, which can effectively alleviate both recurrent and non-recurrent traffic congestion on highways and major roads. Additionally, CCAT is keen on investigating the tradeoffs between the benefits and costs of individual sensing versus cooperative sensing for CAVs. The research findings from these proposed initiatives will offer timely support to government agencies in formulating policies that guide the development and deployment of CDA.

Research Focusing on Mobility


COVERT: Cognitive Internet of Vulnerable Road Users in Traffic
Principal Investigator(s):
Carol Menassa & Vineet Kamat
Research Focus: Safety, Mobility
Prototyping a Low-cost Roadside Device System for Cooperative Automated Driving
Principal Investigator(s):
Yang Cheng, Bin Ran, & Steven Parker
Research Focus: Safety, Mobility
Roadway Friction Screening and Measurement with Automated Vehicle Telematics and Control
Principal Investigator(s):
Xiaopeng Li, Yanfeng Ouyang, & Heye Huang
Research Focus: Safety, Mobility
Traffic Control based on CARMA Platform for Maximal Traffic Mobility and Safety
Principal Investigator(s):
Xiaopeng Li & David Noyce
Research Focus: Mobility

A photo of a roundabout and text that reads 'Safety'. The link directs to all of CCAT's research focused on safety.
A photo of a vehicle's push to start with a diagram overlaying it and text that reads 'Cybersecurity'. The link directs to all of CCAT's research focused on cybersecurity.
A photo of a researcher sitting in a test van and text that reads 'Equity'. The link directs to all of CCAT's research focused on equity.