Date of Award


Publication Type


Degree Name



Civil and Environmental Engineering

First Advisor

Chris Lee


Applied sciences



Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


This study develops the method of estimating queue length at a signalized intersection. The method simplifies the past queue length estimation method that was developed using shock wave theory. This simplified method avoids complexity with calculations of shock wave speeds and accounts for the variations in vehicle effective length. The numbers of cars and trucks in each lane were observed upstream of the stop line at a signalized intersection in Windsor, Ontario. Maximum queue length among lanes was estimated in each cycle using second-by-second vehicle count and occupancy data collected from 7 locations of detectors. As a result, the method generally estimated the queue length more accurately than the shock wave method and the estimation errors were relatively consistent regardless of detector locations. The findings provide insights into the development of simpler queue length estimation method and the selection of the optimal location of detectors for accurate queue length estimation.