Project to identify and analyse real world roads and streets which can help control and improve the overall traffic conditions.
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Updated
Jun 2, 2021 - Python
Project to identify and analyse real world roads and streets which can help control and improve the overall traffic conditions.
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'.
Plotting a Macroscopic Fundamental Diagram for Data Scientists in Python for Traffic Flow in Congested Conditions
Traffic Congestion with Spark Streaming
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