Cooperative Perception and Control for Freeway Traffic System Operations
Project Information
The research project aims to develop next-generation Traffic System Management and Operations (TSMO) solutions for freeway systems based on cooperative driving automation (CDA). The proposed solution concerns both cooperative perception (i.e., estimation and prediction using heterogeneous sources of data based on machine learning and filtering methods) and cooperative control (i.e., advanced artificial intelligence algorithms customized for vehicle and infrastructure level control, i.e., cooperative merge, platooning, and speed harmonization).
The proposed work focuses on computational applications that could substantially increase freeway system safety and mobility, meeting the following two objectives:
1) Integrate traditional and non-traditional highway data to better explain and predict system performance;
2) Provide decision support to assist experts in the design, operations, or management of highway systems.
- Exploratory Advanced Research
- FY 2002-2022 / Exploratory Advanced Research
AMRP = Annual Modal Research Plan