MONITORING A TRAFFIC CONDITION OF STOPPED OR SLOW MOVING VEHICLES

    公开(公告)号:US20230136374A1

    公开(公告)日:2023-05-04

    申请号:US17513068

    申请日:2021-10-28

    IPC分类号: G08G1/01 G08G1/052

    摘要: A system for monitoring a traffic condition can include a processor and a memory. The memory can store a preliminary operations module, a calculations module, and a communications module. The preliminary operations module can include instructions that cause the processor to obtain information about the traffic condition of stopped or slow moving vehicles. The calculations module can include instructions that cause the processor to: (1) define a monitoring zone that encloses the traffic condition and (2) determine, based on data about velocities of vehicles in the monitoring zone, that an error of a prediction of a position of a vehicle, associated with the traffic condition, is less than a threshold. The communications module can include instructions that cause the processor to: (1) receive the data and (2) cause, in response to a determination that the error is less than the threshold, the information to be communicated to vehicles.

    SYSTEMS AND METHODS FOR TRAFFIC-FLOW REGULATION VIA CENTRALIZED LATERAL FLOW CONTROL

    公开(公告)号:US20230126328A1

    公开(公告)日:2023-04-27

    申请号:US17698305

    申请日:2022-03-18

    IPC分类号: G08G1/01 G08G1/0967 G06N7/00

    摘要: Systems and methods described herein relate to traffic-flow regulation via centralized lateral flow control. One embodiment receives, at a locality manager that regulates traffic flow on a roadway via lateral flow control, aggregated macroscopic traffic state information from a section manager that communicates with one or more connected vehicles in a section of the roadway; processes the aggregated macroscopic traffic state information at the locality manager using a reinforcement-learning-based model to determine target lateral flows for two or more lanes of the roadway in the section of the roadway; and transmits the target lateral flows from the locality manager to the section manager, which converts the target lateral flows to lane-change actions and transmits the lane-change actions to the one or more connected vehicles.

    SYSTEMS AND METHODS FOR COORDINATED VEHICLE LANE ASSIGNMENT

    公开(公告)号:US20230131614A1

    公开(公告)日:2023-04-27

    申请号:US17698265

    申请日:2022-03-18

    IPC分类号: G08G1/0967 B60W30/18

    摘要: Systems and methods described herein relate to coordinated vehicle lane assignment. One embodiment receives from a locality manager, at a section manager that communicates with one or more connected vehicles in a section of a roadway, target lateral flows for two or more lanes of the roadway in the section of the roadway; converts the target lateral flows to a target number of connected vehicles N at the section manager; selects for lane change, at the section manager, a set of N connected vehicles whose ranked distances from a following vehicle in a target lane are greatest among the one or more connected vehicles, when a direction of lane change is uniform among the set of N connected vehicles; and transmits lane-change actions from the section manager to the set of N connected vehicles.

    SYSTEMS AND METHODS FOR COORDINATED VEHICLE LANE ASSIGNMENT USING REINFORCEMENT LEARNING

    公开(公告)号:US20230127576A1

    公开(公告)日:2023-04-27

    申请号:US17698312

    申请日:2022-03-18

    摘要: Systems and methods described herein relate to coordinated vehicle lane assignment using reinforcement learning. One embodiment receives from a locality manager, at a section manager that communicates with a plurality of connected vehicles in a section of a roadway, target lateral flows for two or more lanes of the roadway in the section of the roadway; receives, at the section manager, traffic state information from the plurality of connected vehicles; processes, at the section manager, the traffic state information and the target lateral flows using a reinforcement-learning-based model to determine lane-change actions for the plurality of connected vehicles, wherein the reinforcement-learning-based model is based on a single neural network with shared parameters for the plurality of connected vehicles; and transmits the lane-change actions from the section manager to the plurality of connected vehicles.

    COMMUNICATING A TRAFFIC CONDITION TO AN UPSTREAM VEHICLE

    公开(公告)号:US20230134612A1

    公开(公告)日:2023-05-04

    申请号:US17513053

    申请日:2021-10-28

    IPC分类号: G08G1/052 G06K9/00 G08G1/017

    摘要: A system for communicating a traffic condition to an upstream vehicle can include a processor, disposed on an ego vehicle, and a memory. The memory can store a determination module and a communications module. The determination module can include instructions that cause the processor to determine, by the ego vehicle in a first lane, an existence of the traffic condition that includes a difference, between an actual velocity of a vehicle in a second lane and an expected velocity, being greater than a threshold. The communications module can include instructions that cause the processor to: (1) cause, in response to the existence, a communications device of the ego vehicle to communicate, to the upstream vehicle, information about the traffic condition and (2) cause, in response to an absence of the existence, the communications device to refrain from communicating, to the upstream vehicle, the information about the traffic condition.

    DETERMINING A LANE CHANGE DECISION BASED ON A DOWNSTREAM TRAFFIC STATE

    公开(公告)号:US20230083645A1

    公开(公告)日:2023-03-16

    申请号:US17474613

    申请日:2021-09-14

    IPC分类号: B60W30/18

    摘要: A system for determining a lane change decision based on a downstream traffic state can include a processor, a communications device, and a memory. The processor can be disposed on an ego vehicle. The memory can store an acceleration gain module and a communications module. The acceleration gain module can include instructions that cause the processor to: (1) obtain, via the communications device and from a monitoring system, information about an end of stopped or slow moving downstream traffic in a lane and (2) calculate a result of an equation for the lane change decision. The equation can include information about virtual vehicles positioned near the end or a geographical location. The communications module can include instructions that cause the processor to cause a signal, with information based on the result, to be sent to a component of the ego vehicle for an action to be performed by the component.