With data now playing an increased role in urban planning, how does data consider bus types & their seating arrangements?
This article explores how big data can help the tourism industry recover from the downfall they have faced during the global lockdowns.
This article looks at the identification of public transport routes that tend to have recurring delays.
Graph databases are the future, and even if you’re just a beginner, it’s never too late to get started.
Data visualization is always a better way to explain the data to both technical and non-technical audiences.
Is the fear of Covid-19 infections in public transport really justified? What is the likelihood that someone will get infected in public transport?
This article takes a look at one of the simplest data structures that are very much used in all applications called the heap.
In this article, we will dive deep into what exactly a queue is and how it is used to store and manipulate data.
Here's an introduction to a data-driven solution we've been working on: Fahrbar.
This article goes through the topic of demand analysis for public transport routes.