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公开(公告)号:US12118882B2
公开(公告)日:2024-10-15
申请号:US18465147
申请日:2023-09-11
Applicant: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor: Zehua Shao , Haitang Xiang , Bin Liu , Xiaojun Wei , Yongzeng Liang
CPC classification number: G08G1/08 , G08G1/0125
Abstract: A method for tidal lane opening management in a smart city is provided. The method applied to the management platform includes issuing a data obtaining instruction to a sensor network platform to obtain a first traffic feature of a target road within a first time period from an object platform, wherein the first traffic feature is a feature reflecting a flow situation of the target road, determining a target tidal lane opening scheme of the target road within the first time period based on the first traffic feature using a preset algorithm, generating a scheme execution instruction based on the target tidal lane opening program, sending the scheme execution instruction to the target object through, and issuing a data upload instruction to send the target tidal lane opening scheme to the user platform through a service platform.
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公开(公告)号:US12024177B2
公开(公告)日:2024-07-02
申请号:US17689573
申请日:2022-03-08
Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor: Makoto Kawaharada , Hiroshi Sakamoto
IPC: B60W40/105 , G08G1/08
CPC classification number: B60W40/105 , G08G1/08 , B60W2420/408 , B60W2552/53 , B60W2554/4041 , B60W2554/4049
Abstract: A sensor abnormality estimation device determines whether or not a position and a speed of a sensor-mounted vehicle at an intersection fulfill a predetermined performance condition. When the position and the speed fulfill the performance condition, the sensor abnormality estimation device acquires recognition results obtained by two of a plurality of external sensors, for a target object at a designated position associated with the position of the sensor-mounted vehicle. The sensor abnormality estimation device then acquires a degree of coincidence between the recognition results, and determines that there is an abnormality in at least one of the two external sensors when the degree of coincidence is lower than a predetermined determination value.
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公开(公告)号:US12014629B2
公开(公告)日:2024-06-18
申请号:US17646397
申请日:2021-12-29
Applicant: ALIBABA GROUP HOLDING LIMITED
Inventor: Wanli Min , Jiawei Wang , Zhenggang Wang
CPC classification number: G08G1/082 , G08G1/0125 , G08G1/08 , G08G1/083
Abstract: Embodiments of the present disclosure can provide a road traffic analysis method and an apparatus. The method can comprise obtaining a traffic parameter of a road intersection by analyzing road traffic information of the road intersection, determining a reference adjustment length for each phase of a traffic signal cycle corresponding to each lane of the road intersection based on the road traffic information and the traffic parameter. The traffic signal cycle has one or more phases. The method can also comprise determining a first adjustment length when a difference between the reference adjustment length and the first adjustment length satisfies a condition associated with the lanes of the road intersection and the corresponding traffic parameter, and adjusting the phases of the traffic light cycle at the road intersection based on the first adjustment length for each phase.
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公开(公告)号:US11908321B2
公开(公告)日:2024-02-20
申请号:US17611225
申请日:2021-01-07
Applicant: SHANDONG JIAOTONG UNIVERSITY
Inventor: Yajuan Guo
CPC classification number: G08G1/08 , G08G1/0125 , G08G1/0145 , G08G1/065
Abstract: A regional dynamic perimeter control method and system for preventing boundary links queuing overflow. The method includes: estimating the number of queuing vehicles of boundary links using a Kalman filtering extension method using traffic flow information, and calculating a maximum of receivable vehicles; dividing the boundary links utilizing an estimated number of each boundary link's queuing vehicles and the maximum number of receivable vehicles obtaining a boundary link set with sufficient storage and a boundary link set with insufficient storage; obtaining a critical accumulation of a region according to a preset Macroscopic Fundamental Diagram (MFD) model of the region, and predicting the estimated region accumulation in a sampling period; and controlling a regional boundary intersection traffic flow operation using a deviation between the predicted and critical accumulation and boundary link sets. Deterioration of regional traffic flow is avoided, and the probability of overflow of boundary links is reduced.
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公开(公告)号:US20240046784A1
公开(公告)日:2024-02-08
申请号:US18265385
申请日:2020-12-04
Applicant: FOTECH GROUP LIMITED
Inventor: Stuart LARGE , Matt MCDONALD
CPC classification number: G08G1/04 , G08G1/0145 , G08G1/052 , G08G1/08
Abstract: Methods and apparatus for estimating a position of a boundary of a queue of traffic are disclosed, the queue extending along a roadway. Distributed acoustic sensing is used to generate, as a function of time and of position along the roadway, a signal representing acoustic vibration at a sensing optical fibre that extends along the roadway. A queue signature is detected in the signal of either the slowing down of a plurality of vehicles as they approach the boundary of the queue, or speeding up of a plurality of vehicles as they advance from the departed boundary of the queue. A position of the boundary of the queue is then estimated from the detected queue signature. Methods and apparatus are also disclosed for controlling one or more road traffic signals by using distributed acoustic sensing to detect acoustic vibration at one or more sensing optical fibres disposed along a roadway, as a function of time and of position along a roadway, and controlling the one or more road traffic signals responsive to the detected acoustic vibration.
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公开(公告)号:US20240038066A1
公开(公告)日:2024-02-01
申请号:US18026835
申请日:2022-08-04
Applicant: JIANGSU UNIVERSITY
Inventor: Yingfeng CAI , Sikai LU , Long CHEN , Hai WANG , Chaochun YUAN , Qingchao LIU , Yicheng LI
IPC: G08G1/08
CPC classification number: G08G1/08
Abstract: A multi-intelligence federated reinforcement learning (FRL)-based vehicle-road cooperative control system and method at the complex intersection use a vehicle-road cooperative control framework based on the Road Side Unit (RSU) static processing module and the vehicle-based dynamic processing module. The historical road information is supplied by the proposed RSU module. The Federated Twin Delayed Deep Deterministic policy gradient (FTD3) algorithm is proposed to connect the federated learning (FL) module and the reinforcement learning (RL) module. The FTD3 algorithm transmits only neural network parameters instead of vehicle samples to protect privacy. Firstly, FTD3 selects only specific networks for aggregation to reduce the communication cost. Secondly, FTD3 realizes the deep combination of FL and RL by aggregating target critic networks with smaller Q-values. Thirdly, RSU neural network participates in aggregation rather than training, and only shared global model parameters are used.
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公开(公告)号:US20240038065A1
公开(公告)日:2024-02-01
申请号:US17876340
申请日:2022-07-28
Applicant: Motional AD LLC
Inventor: Chong Meng Wong
Abstract: Provided are methods for managing traffic light detections, which can include: deriving a first state of a traffic light at an intersection a vehicle is approaching, according to first detection data acquired by a first traffic light detection (TLD) system; deriving a second state of the traffic light at the intersection, according to second detection data acquired by a second TLD system that is independent from the first TLD system; determining traffic light information at the intersection based on at least one of (i) the first state or (ii) a result of checking whether the first state is same as the second state; and causing the vehicle to operate in accordance with the determined traffic light information at the intersection. Systems and computer program products are also provided.
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8.
公开(公告)号:US20240012875A1
公开(公告)日:2024-01-11
申请号:US18365568
申请日:2023-08-04
Applicant: Soumyasundar PAL , Yingxue ZHANG , Mark COATES
Inventor: Soumyasundar PAL , Yingxue ZHANG , Mark COATES
Abstract: Probabilistic spatiotemporal forecasting comprising acquiring a time series of observed states from a real-world system, each observed state corresponding to a respective time-step in the time series and including a set of data observations of the real-world system for the respective time-step. For each of a plurality of the time steps in the time series of observed states, a hidden state is generated for the time-step based on an observed state for a prior time-step and an approximated posterior distribution generated for a hidden state for the prior time-step. The use of an approximated posterior distribution can enable improved forecasting in complex, high dimensional settings.
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公开(公告)号:US20230306840A1
公开(公告)日:2023-09-28
申请号:US18020061
申请日:2021-08-05
Applicant: Spreadtrum Communications (Shenzhen)
Inventor: Chuan HE
CPC classification number: G08G1/04 , G08G1/08 , G06V20/54 , H04N23/70 , G08G1/0125
Abstract: A traffic monitoring terminal and a traffic monitoring system are provided. The traffic monitoring terminal includes a camera module configured to acquire a traffic image of an intersection and a control module configured to acquire a number of vehicles waiting at the intersection based on the traffic image.
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10.
公开(公告)号:US20230274640A1
公开(公告)日:2023-08-31
申请号:US18109012
申请日:2023-02-13
Applicant: Allstate Insurance Company
Inventor: Regina Madigan , Timothy W. Gibson , Howard Hayes , Surender Kumar
IPC: G08G1/095 , G08G1/07 , B60W40/09 , G08G1/005 , G08G1/01 , G08G1/04 , G08G1/065 , G08G1/08 , G08G1/0965 , G08G1/0967 , G08G1/0968 , G08G1/16 , G08G1/00 , H04W4/02 , G08B25/01
CPC classification number: G08G1/095 , G08G1/07 , B60W40/09 , G08G1/005 , G08G1/0112 , G08G1/0116 , G08G1/012 , G08G1/0129 , G08G1/0133 , G08G1/0145 , G08G1/04 , G08G1/065 , G08G1/08 , G08G1/0965 , G08G1/096716 , G08G1/096725 , G08G1/096741 , G08G1/096775 , G08G1/096822 , G08G1/096838 , G08G1/096844 , G08G1/164 , G08G1/205 , H04W4/02 , G08B25/016 , G08B21/06
Abstract: Systems and methods are disclosed for monitoring or affecting movement of a vehicle using a traffic device. An event data source may have a processor and/or a transceiver. The event data source may transmit, via the transceiver and to a vehicle and infrastructure computing device, information indicative of an event affecting a portion of road. The vehicle and infrastructure computing device may comprise a vehicle and infrastructure control computer. The vehicle and infrastructure computing device may receive, from the event data source, the information indicative of the event affecting the portion of road. The computing device may determine one or more traffic devices associated with the portion of road and configured to control traffic for the portion of road. Based on the information indicative of the event affecting the portion of road, the computing device may send, to the one or more traffic devices associated with the portion of road, instructions to change one or more characteristics of the one or more traffic devices.
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