Patent ID: 11893882
Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A system for identifying, classifying, mitigating, and root-causing a road network congestion, the system comprising:
a plurality of motor vehicles positioned in a plurality of associated locations in a road network, with each of the motor vehicles having at least one sensor for generating an input, and each of the motor vehicles further having a Telematics Control Unit (TCU) for generating at least one location signal for a location of the associated motor vehicle and at least one event signal for an event related to the associated motor vehicle, with the at least one location signal and the at least one event signal being corresponding to a High Speed Vehicle Telemetry Data (HSVT data) based on the input from the at least one sensor;
a display device; and
a computer communicating with the display device and the TCU of the associated motor vehicles, with the computer comprising:
at least one processor coupled to the TCU of the associated motor vehicles and receiving the HSVT data from the TCU of the associated motor vehicles, wherein the at least one sensor comprises at least one of a GPS unit, a thermocouple, a humidity sensor, a brake sensor, an airbag sensor, an ADAS module, a perception sensor suite, and a motion sensor communicating with the TCU; and
a non-transitory computer readable storage medium including instructions such that the at least one processor is programmed to:
identify the road network congestion at a current time slot based on the HSVT data;
determine that the road network congestion is at least one of a recurring congestion and a non-recurring congestion based on the HSVT data over a period of time;
determine a source of the recurring congestion by:
using an Origin-Destination Matrix (OD Matrix) derived from an historical HSVT data to determine a first route capacity estimation for a road link;
using a Direct Measurement from a collection of HSVT data to determine a second route capacity estimation for the road link;
comparing the first and second route capacity estimations; and
calibrating the at least one processor based on a comparison between the first and second route capacity estimations;

determine a cause of the non-recurring congestion using a causal inference model to determine a causal relationship between a causal factor in a first location at a first time slot and the non-recurring congestion in a second location at a second time slot; and
generate a notification signal associated with at least one of the recurring congestion, the source and the location of the recurring congestion, the non-recurring congestion, and the cause and the location of the non-recurring congestion, such that the display device displays an associated one of the recurring congestion, the source and the location of the recurring congestion, the non-recurring congestion, and the cause and the location of the non-recurring congestion based on the HSVT data in response to the display device receiving the notification signal from the at least one processor.