Description

In this project, we have designed and developed an effective end-to-end system based on advanced Artificial Intelligence (AI), machine learning, and computer vision to automatically monitor, detect, track, and count pedestrians and bicyclists. The main objective of this project is to improve the safety of pedestrians and bicyclists, by applying self-sensed and AI-powered systems to monitor and control the flow of pedestrians/bicyclists. The developed system includes algorithms for detecting the pedestrians and bicyclists, as well as algorithms for tracking and counting the pedestrians. We evaluated the developed system on real videos captured by actual traffic cameras in the city of Los Angeles. Despite the low quality of some of the videos, the results demonstrated high accuracy and effectiveness of the developed system in automatically detecting and counting pedestrians and bicyclists.

Publication Date

9-2020

Publication Type

Report

Topic

Bicycle and Pedestrian Issues

Digital Object Identifier

https://doi.org/10.31979/mti.2020.1808

MTI Project

1808

Keywords

Artificial intelligence, Machine learning, Pedestrian counts, Pedestrian safety, Traffic safety

Disciplines

Transportation

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