Follow the impact of COVID-19 outbreak in Latin America in real time

Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs

Tackle the problem of traffic congestion by monitoring the traffic flow and congestion and providing useful traffic congestion related information

Project to identify and analyse real world roads and streets which can help control and improve the overall traffic conditions.

An invention that can minimize traffic jams by taking down traffic waves

Dijkstra adjacency distance matrices were calculated for 40 cities from traffic sensor locations provide by UTD19 https://utd19.ethz.ch/.

A analytical pipeline that provide data driven insights on city traffic.

Calculating the nearest weather sensor for each traffic sensor and then merging the weather sensors' temporal data with the traffic sensors'.

An IoT based system to mitigate city traffic congestion with Intel Edison and Microsoft Azure

Design and Development of an intelligent electronic system for traffic modeling and parking management in urban centers

Plotting a Macroscopic Fundamental Diagram for Data Scientists in Python for Traffic Flow in Congested Conditions

Comparison between Artificial Intelligence handled traffic lights and manual or cycle based changing lights.

This repository contains the implementation of traffic congestion prediction, focusing on assessing and comparing the effectiveness of different algorithms for long-term traffic congestion prediction.

Resource Abstraction (AAMAS 2016)

Flow traffic data for several congestion events occurring in the region of Tyne and Wear in the year of 2018.

Traffic rerouter to reduce/avoid congestions. My 2022 science fair project :)

Traffic Congestion with Spark Streaming