Here's proof that it's actually a challenge to find studies that connect occupancy and punctuality in public transport.
The gap between planned arrivals and actual arrivals seems to be a common issue in transport schedules. Log analysis might help us see that.
Why do multimodal public transport associations need to distribute ticket revenue to the multiple operators in charge of the multiple modes of transport?
How long or often does each passenger ride a line or one section of a line? Where does a passenger get in and out?
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.
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.
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.
Thanks to the advancement of technology, transport data collection methods have evolved so much. Here's how they look like then and now.