riotu-lab / tau

TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems

TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems

Bilel Benjdira, Anis Koubaa, Ahmad Taher Azar, Zahid Khan, Adel Ammar, Wadii Boulila

RIOTU Lab, Prince Sultan University, Saudi Arabia

Link to the paper: https://www.sciencedirect.com/science/article/abs/pii/S0952197622002408

Arxiv preprint: https://arxiv.org/abs/2303.00337

Science Cast video: https://sciencecast.org/casts/oq0mw5g7x39a

Citation

if you find our paper useful in your research, please cite:

@article{BENJDIRA2022105095,
title = {TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems},
journal = {Engineering Applications of Artificial Intelligence},
volume = {114},
pages = {105095},
year = {2022},
issn = {0952-1976},
doi = {https://doi.org/10.1016/j.engappai.2022.105095},
url = {https://www.sciencedirect.com/science/article/pii/S0952197622002408},
author = {Bilel Benjdira and Anis Koubaa and Ahmad Taher Azar and Zahid Khan and Adel Ammar and Wadii Boulila}}

Code description

We shared the source code for extracting 20 traffic insights using TAU. You can apply it on any UAV traffic video you want after generating the results.xslx file related to it.

At this stage, we did not share the code we used to process the UAV traffic video and generate the results.xlsx file.

For any enquiry, please contact bilel.benjdira_at_gmail.com and riotu_at_psu.edu.sa.

Video demonstration

TAU Video Demonstration Link: https://youtu.be/wXJV0H7LviU

Video of the extracted histograms: https://www.youtube.com/watch?v=kGv0gmtVEbI

Samples of extracted insights

The full trajectories follown by all the vehicles

Smart crossroads management of roads based on TAU

The correlation between the different factors to understand traffic law compliance