Confirmation seminar presented by Wanuji Abewickrema

Real-time queue length is a crucial information, increasingly needed for signal operation and optimization purposes. This project proposes a methodology to estimate cycle-based maximum queue length in real-time by utilizing high-resolution vehicle loop detector data and signal timing data. Shockwave theory is considered as the underlaying theory in identifying the traffic state changing points. A stochastic approach using a multivariate time varying Kalman filter is proposed to minimize the uncertainty caused by the detector measurements and to enhance the model reliability in queue length estimation. Further, possible improvements for prediction via data-driven approaches through data fusion are investigated. 

Advanced Engineering Building, level 6 Boardroom Room 49-601 
or online via Zoom https://uqz.zoom.us/j/81795724038

 

About Confirmation Seminars

The purpose of the confirmation milestone is to ensure that the candidate receives appropriate feedback in relation to the viability and progress of the thesis project and that the resources required to complete the program of research within the recommended timeframe are available. It is also an opportunity to ensure that the candidate has demonstrated the capacity and capability to successfully complete the thesis in a timely manner.

Venue

Advanced Engineering Building, level 6 Boardroom Room 49-601
or online via Zoom https://uqz.zoom.us/j/81795724038