Video data and gis mapping for traffic monitoring, event detection and change predicition

A method for traffic monitoring and event detection, comprising:

• store at least one geographic map representing at least one thoroughfare to be monitored;
• correlate traffic monitoring meta data received from a plurality of video units viewing the at least one thoroughfare;
• form a composite representation of the at least one geographic map and a representation of the correlated traffic monitoring meta data received from the plurality of video units;
• store a plurality of records of the composite representations of the at least one geographic map and representations of the correlated traffic monitoring meta data, each of the plurality of records corresponding to the at least one thoroughfare being monitored under mutually different event conditions;
• replay a sub-plurality of the a plurality of records of the composite representations of the at least one geographic map and representations of the correlated traffic monitoring meta data, monitored under mutually different event conditions;
• and
• access artificial intelligence (AI) models and/or classifiers to simulate effects of changing event conditions.

A method for commissioning a traffic monitoring video camera, comprising:

• storing in a memory associated with a video camera, a memory image of the camera's perspective view of a roadway in a geographic area in which traffic is to be monitored;
• identifying reference locations with respect to the roadway, in the memory image of the camera's perspective view;
• storing in the memory associated with the video camera, a memory image of a geographic map of the roadway in which traffic is to be monitored;
• and
• forming a mapping relationship between the identified reference locations in the camera's perspective view of the roadway, and geographic coordinates of the geographic map, corresponding to the reference locations.