How long or often does each passenger ride a line or one section of a line? Where does a passenger get in and out?
Buses in Warsaw, Poland. The Polish capital has one of the most efficient transport systems in Europe.
Occupancy prediction is one of the many ways Big Data is proving to be useful to both the passenger and the transit authority in Poland.
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.
Tram gliding on grass in Europe. This is public transport combined with landscaping
Personal cars are not an efficient means of transport as they cause 11 times as much congestion compared to a bus ferrying passengers during rush hours.
Residents of Quito, Ecuador traveling in a bus to a common destination
Public transport happens to be right at the heart of professional growth for a huge percentage of people in all countries. So what is public transport?
This article looks at why it makes sense to use sensor data analytics in public transport.
Surveillance cameras are used to collect transport data
Thanks to the advancement of technology, transport data collection methods have evolved so much. Here's how they look like then and now.
Big Data's impact on some important sectors is no longer a novelty but not everyone is convinced of its utility. So we put together some examples of how.
Can blockchain make a difference in public transport? We find out from research literature.
Most people opt for public transport because they cannot afford private cars. So it's crucial to serve their transport needs with Big Data.