Title: Vehicle trajectory prediction near or at traffic signal

Abstract

A system and method for determining a predicted trajectory of a human-driven host vehicle as the human-driven host vehicle approaches a traffic signal. The method includes: obtaining a host vehicle-traffic light distance d_x and a longitudinal host vehicle speed v_x that are each taken when the human-driven host vehicle approaches the traffic signal; obtaining a traffic light signal phase P_t and an traffic light signal timing T_t; obtaining a time of day TOD; providing the host vehicle-traffic light distance d_x, the longitudinal host vehicle speed v_x, the traffic light signal phase P_t, the traffic light signal timing T_t, and the time of day TOD as input into an artificial intelligence (AI) vehicle trajectory prediction application, wherein the AI vehicle trajectory prediction application implements an AI vehicle trajectory prediction model; and determining the predicted trajectory of the human-driven host vehicle using the AI vehicle trajectory prediction application.

Inventors:

Oh, Geunseob; Peng, Huei

Issue Date:

2023-01-31

Research Org.:

Univ. of Michigan, Ann Arbor, MI (United States)

Sponsoring Org.:

USDOE

OSTI Identifier:

1987095

Patent Number(s):

11565722

Application Number:

17/150,690

Assignee:

The Regents of the University of Michigan (Ann Arbor, MI)

Patent Classifications (CPCs):

B - PERFORMING OPERATIONS B60 - VEHICLES IN GENERAL B60W - CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION

G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS

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B - PERFORMING OPERATIONS B60 - VEHICLES IN GENERAL B60W - CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION

B60W2554/4042 - Longitudinal speed
B60W2554/4045 - Intention, e.g. lane change or imminent movement
B60W2554/80 - Spatial relation or speed relative to objects
B60W2556/65 - Data transmitted between vehicles
B60W40/04 - Traffic conditions
B60W60/0027 - {using trajectory prediction for other traffic participants}

G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS

G06N3/08 - Learning methods

G - PHYSICS G08 - SIGNALLING G08G - TRAFFIC CONTROL SYSTEMS

G08G1/0112 - {from the vehicle, e.g. floating car data [FCD]}
G08G1/0116 - {from roadside infrastructure, e.g. beacons}
G08G1/012 - {from other sources than vehicle or roadside beacons, e.g. mobile networks}
G08G1/0129 - {for creating historical data or processing based on historical data}
G08G1/095 - Traffic lights
G08G1/096725 - {where the received information generates an automatic action on the vehicle control}

H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04L - TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION

H04L67/12 - {adapted for proprietary or special purpose networking environments, e.g. medical networks, sensor networks, networks in a car or remote metering networks

H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04W - WIRELESS COMMUNICATION NETWORKS

H04W4/029 - Location-based management or tracking services
H04W4/40 - for vehicles, e.g. vehicle-to-pedestrians [V2P]
H04W4/44 - for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
H04W4/46 - for vehicle-to-vehicle communication [V2V]

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DOE Contract Number:  

EE0007212

Resource Type:

Patent

Resource Relation:

Patent File Date: 01/15/2021

Country of Publication:

United States

Language:

English

Subject:

97 MATHEMATICS AND COMPUTING