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.
The Atlas is specific in detailing an area's geographical and political features, which brings us to mapping projections, crucial for geospatial data analytics.
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.
Spatial aggregation is one of the techniques used to ensure data is protected when citizens disclose their personal information during census.
One major strength of Geohashing is that it can also be used to provide a good degree of anonymity.
Behind the day-to-day operations of public transport are the public transport workers, who have been hit hard by Covid-19.