sensors

Monitoring Active Transportation Demand and Safety with Computer Vision

  • Principal Investigator Dillon Fitch-Polse, Ph.D.
  • University of California, Davis
This research will validate video- and LiDAR-based sensors to collect active transportation count data for modeling system level active transportation volume in Davis, California as a pilot for other cities and agencies.
Project Status
In Progress

Sensor placement considering the observability of traffic dynamics: On the algebraic and graphical perspectives

Research Product Type
Dissertation / Thesis
Traffic sensors serve as one of the most important sources for such data by providing an accurate and reliable general picture of the traffic system. In this dissertation, a new sensor location model is developed to maximize the observability of link densities in a dynamic traffic network described using a piecewise linear ordinary differential equation system.