How well do you know traffic patterns in your city? We present traffic patterns across 3 central bridges in Zagreb, explaining the traffic jams in detail and revealing the slowest bridge.
Is driving 80+ km/h on the Rijeka bypass hearsay or a fact? To question this statement, we decided to measure how fast real-world vehicles actually drive.
Can we use vehicle GPS tracking data to figure out whether a new bridge would help reduce congestions? Here's an interesting qualitative analysis of commuting patterns over the existing Zagreb bridges.
Using Mireo SpaceTime Roadway Analytics, we've detected the infamous Zagreb speeding hotspots, specifically the ones in which drivers speed more than 30 km/h above the posted speed limits.
Do you become a rally driver when the streets are empty? Analyzing GPS traces of 600.000 vehicles, we measured how likely drivers are to speed.
We present the Big Data movement analysis of 600.000+ vehicles driven throughout Italy, generated by using proprietary SpaceTime technology.
Public transport security solutions with an emphasis on the panic button and GNSS tracking.
Pros and cons of GPS congestion pricing comparing to tolling gantries according to principles of efficient congestion pricing.
A high-speed, moving objects database provides remarkable analytical tools speed, sometimes outperforming other solutions by three orders of magnitude.
We take projections of the GPS position to the all nearby roads and intersections and consider them candidates for the actual (real-life) position.