QMUL Junction Dataset (2016).
http://personal.ie.cuhk.edu.hk/~ccloy/downloads_qmul_junction.html

has been cited by the following article:

• TITLE: Image-Based Vehicle Speed Estimation

  AUTHORS: Md. Golam Moazzam, Mohammad Reduanul Haque, Mohammad Shorif Uddin

  KEYWORDS: Vehicle Detection, Speed Calculation, Background Subtraction, Vehicle Tracking

  JOURNAL NAME: Journal of Computer and Communications, Vol.7 No.6, May 27, 2019

  ABSTRACT: Vehicle speed is an important parameter that finds tremendous application in traffic control identifying over speed vehicles with a view to reducing accidents. Many methods, such as using RADAR and LIDAR sensors have been proposed. However, these are expensive, and their accuracy is not quite satisfactory. In this paper, a video-based vehicle speed determination method is presented. The method shows satisfactory performance on standard data sets and gives that error rate of velocity estimation is within 10%.