Rail Analytics

Tain traffic at station
Hierarchy of Train Traffic
Hierarchy of Train Traffic (more info)

Inspiration

The anxiety that comes from not knowing when the train will arrive(delayed), better real-time data without any additional hardware installation.

What it does

Uses the crowd-sourced data to track trains in real time which predicts the anticipated delays for the users. The data also helps in real-time traffic analysis without installation of any additional hardware. Users provide location data through their phones.

How we built it

Used python for all the analytics, all data had to be filtered differently to extract precise information from the data that were recorded.

Challenges we ran into

The structure of the data made it hard to process. Correct data had to be gathered by sorting and filtering before starting the analysis. Data were distributed among huge files and when these files were linked to process, the processing took a very long time even for simple analysis (about 20-30mins). More computing power was required.

Accomplishments that we're proud of

Able to understand this large data without any prior experience with large data sets. We were able to extract information like user demographics, user distribution across different transport services and Information on the traffic at different stations as well as different routes between the stations.