The public transport data sparsity from our previous article led to our attempt in finding more answers using heatmaps to zoom in to the limited data we have.
Here's how we familiarised ourselves with the public transport people counting data set we received.
Since big data can be well-implemented in public transport, what are the first, second and third party data for public transport? This article takes a look.
This article looks at why it makes sense to use sensor data analytics in public transport.
Let's see whether our web app Fahrbar works in a different transport setting. Here's an example: Using Fahrbar in Kenya's minibus system.
Here's an introduction to a data-driven solution we've been working on: Fahrbar.
This article lists the many possible people counting options that public transport operators have for counting the number of passengers in public transport.