PACCT is a fully scalable web-based analytics platform for connected car trajectories. The platform can ingest, warehouse, analyze, and visualize billions of connected vehicle datapoints per month. The platform utilizes the latest cloud and distributed computing technologies to dynamically scale the infrastructure based on the cyclical load of datapoints that are received from Wejo.
Transportation Operations Staff can use PACCT to monitor roadway conditions in near real-time and Planners can use it to support data-driven decision making by analyzing recurring congestion or quantifying the effects of roadway improvements.
The Wejo Vehicle Movement Dataset that is used in PACCT is sent directly from the vehicles, has an update interval of 3 seconds, and latency under a minute. Some characteristics of this data include:
Infosenseglobal & KISNN has developed a proprietary conflation architecture to connect the vehicle datapoints to a linkset in real-time. This unique process allows data to be usable for analysis in ~15 seconds. Origin/Destination insights are available in ~5 minutes after the trip ends.
Insights into the origins and destinations of trips are another benefit of the Wejo CV data. Because of the high degree of location accuracy +/-10 feet (under 3 meters) we are able to accurately determine the origin and destination of a vehicle, as well as the precise route that vehicle took.
The Wejo Driver Event Dataset includes information on when/where the vehicle was started/stopped (ignition on/off), exterior temperature, seatbelt status change, windshield wiper status, harsh braking events, and rapid acceleration events.
Data privacy is a primary consideration when working with CV data. The raw data is anonymized and does not include any Personally Identifiable Information (PII). Beyond this, the architecture was developed with business rules to enhance privacy.