The National Science Foundation (NSF) awarded a Project Grant of $113,069 to the University of Tennessee, operating as Univ Tennessee System Office, under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). This grant aims to develop effective and efficient methods for reconstructing city-scale traffic dynamics using mobile data. Specifically, the project will:
- Estimate travel times and other macroscopic traffic states (speed, flow, density) from mobile data.
- Develop a novel map-matching technique to generate vehicle trajectories from low-sampling rate mobile data.
- Employ simulation-based optimization to reconstruct microscopic traffic dynamics, ensuring consistent traffic flows.
- Explore a hybrid simulation approach to achieve highly efficient traffic reconstruction while balancing precision and computational requirements.
The proposed research is expected to benefit various disciplines, including computer science, civil engineering, urban planning, earth science, and supply chain management. The project also includes educational and outreach activities, such as curriculum development and research opportunities for underrepresented students. The award period is from October 1, 2023 to August 31, 2024.
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