About

I cover SUMO Traffic Simulator tutorials including SUMO Traci, SUMO traffic signal, reinforcement learning algorithms, autonomous vehicles, and SUMO Digital Twin and Virtual Reality.

I also try to cover Unity Virtual Reality tutorials including reducing simulation sickness in VR by reducing flickering and pixel noise, optimizing the 3D models for VR, improving frame rate per second in VR

Here is my motivation:

During my PhD in 2019, I spent nearly two years refining the process of applying an artificial intelligence algorithm to improve a roadside animal detection system on Highway 1 in British Columbia, Canada. This work involved every step from data collection and cleaning to data preprocessing, learning AI algorithms, applying AI, analyzing results, and finally writing an industry report.

I realized that many researchers would follow a similar path, so I decided to document my experiences and make them openly accessible for everyone. That’s how my journey began.

Figure: Roadside animal detection system Location in Revelstoke – BC.

See below video as one example of a roadside animal detection system where deers are jumping very quickly around the road. The video is part of our paper:

Mohammadi, A., Park, P. Y., Mukherjee, A., & Liu, X. (2022). Developing a situation and threat assessment framework for a next generation roadside animal detection system. IET Intelligent Transport Systems, 16(1), 71-84.

Contact Me:

AhmadMohammadi1441@gmail.com