公开(公告)号：US10967706B2

公开(公告)日：2021-04-06

申请号：US16570158

申请日：2019-09-13

Applicant: International Business Machines Corporation

Inventor： Ning Duan ,  Jing Chang Huang ,  Peng Ji ,  Chun Yang Ma ,  Zhi Hu Wang ,  Renjie Yao

IPC: B60H1/00 ,  B60W40/02 ,  B60H3/00

Abstract: A mechanism is provided for controlling the internal air-quality of a vehicle, including determining a changing trend of the in-vehicle air-quality based on acquired in-vehicle sensor data and usage status of the vehicle and responsive to the determined changing trend of the in-vehicle air-quality, signaling a control system of the vehicle to control the usage status of the vehicle based on a control policy.

公开(公告)号：US10891693B2

公开(公告)日：2021-01-12

申请号：US14883839

申请日：2015-10-15

Applicant: International Business Machines Corporation

Inventor： He Yuan Huang ,  Ning Duan ,  Zhi Hu Wang ,  Kai Li

IPC: G06Q40/08 ,  G07C5/08 ,  G07C5/00

Abstract: A method for evaluating fraudulent data in a Usage Based Insurance (UBI) system, includes retrieving trip data for a driver from a database. A processor on a computer determines tough context incidents in the trip data. Driving behavior of the driver during said tough context incidents is compared with driving behavior of other drivers during similar tough context incidents. The trip data is identified as potentially fraudulent if the driver's driving behavior is better by a predetermined amount compared to the other drivers' driving behavior.

公开(公告)号：US20200372322A1

公开(公告)日：2020-11-26

申请号：US16421244

申请日：2019-05-23

Applicant: International Business Machines Corporation

Inventor： Zhi Hu Wang ,  Shiwan Zhao ,  Jing Lan Liu ,  Bang An ,  Shoichiro Watanabe

IPC: G06N3/04 ,  G06N3/08 ,  G08G1/01

Abstract: This disclosure provides embodiments for context based vehicular traffic prediction. A trained neural network modeling a relationship between historical traffic data and associated historical contextual data for a roadway link is obtained. Expected contextual data for a future time period for the roadway link is acquired. Predicted traffic data for the future time period for the roadway link is generated with the trained neural network based on the expected contextual data.

公开(公告)号：US10783782B1

公开(公告)日：2020-09-22

申请号：US16296525

申请日：2019-03-08

Applicant: International Business Machines Corporation

Inventor： Zhi Hu Wang ,  Shiwan Zhao ,  Li Zhang ,  Jun Zhu

IPC: G08G1/0967 ,  G08G1/01

Abstract: A computer-implemented method, a device and a computer program product for managing a vehicle are proposed. The computer-implemented method comprises: a determining, by a device operatively coupled to one or more processing units, a potential road section associated with a current road section on which a first vehicle is moving, the potential road section being a road section to which the first vehicle potentially moves from the current road section; obtaining, by the device, a road condition of the potential road section, the road condition being generated at least based on monitoring records of a second vehicle moving on the potential road section; and in response to the road condition indicating that the potential road section is unsuitable for moving on, transmitting, by the device, an alert about the potential road section to the first vehicle.

公开(公告)号：US20200160619A1

公开(公告)日：2020-05-21

申请号：US16194303

申请日：2018-11-17

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Zhi Hu Wang ,  Shiwan Zhao ,  Changhua Sun ,  Zhong Su

IPC: G07C5/00 ,  B60L11/18 ,  G06N5/04

Abstract: Systems and methods for estimating battery-powered driving distance for a vehicle, including training a relative model for a battery using input historical battery temperature data and historical battery-external factors, and predicting a future battery temperature based on the relative model and one or more of current or future battery-external factors. A battery power capacity is determined using the predicted future battery temperature and input manufacturer specifications for the battery, and a remaining battery powered driving distance is calculated based on input vehicle power consumption data and the determined battery power capacity.

公开(公告)号：US10659911B1

公开(公告)日：2020-05-19

申请号：US16172251

申请日：2018-10-26

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Zhi Hu Wang ,  Li Zhang ,  Shiwan Zhao ,  Changhua Sun

IPC: H04W4/021 ,  G06F16/29 ,  G06F16/907 ,  G06F17/18 ,  H04W4/02

Abstract: Methods, systems, and computer program products relate to deduplication of points of interest (POIs) from different sources. In some embodiments, a method is disclosed. According to the method, a first set of POIs are obtained from a first source and a second set of POIs are obtained from a second source. The first set of POIs are divided into a plurality of groups of POIs including a first group of POIs. A second group of POIs to be matched with the first group of POIs are determined from the second set of POIs. Duplicated POIs are identified from the first and second sets of POIs by matching the first group of POIs and the second group of POIs. In other embodiments, a system and a computer program product are disclosed.

公开(公告)号：US10525791B2

公开(公告)日：2020-01-07

申请号：US15471332

申请日：2017-03-28

Applicant: International Business Machines Corporation

Inventor： Ning Duan ,  Jing Chang Huang ,  Peng Ji ,  Chun Yang Ma ,  Zhi Hu Wang ,  Renjie Yao

IPC: B60H1/00 ,  B60W40/02 ,  B60H3/00

Abstract: A mechanism is provided for controlling the internal air-quality of a vehicle. In-vehicle sensor data of a vehicle are acquired and the usage status of the vehicle is determined based on the acquired in-vehicle sensor data. Based on the acquired in-vehicle sensor data and the determined usage status, a changing trend of the in-vehicle air-quality is determined and responsive to the determined changing trend of the in-vehicle air-quality, a control system of the vehicle is signaled to control the usage status of the vehicle based on a control policy.

公开(公告)号：US20200001681A1

公开(公告)日：2020-01-02

申请号：US16570158

申请日：2019-09-13

Applicant: International Business Machines Corporation

Inventor： Ning Duan ,  Jing Chang Huang ,  Peng Ji ,  Chun Yang Ma ,  Zhi Hu Wang ,  Renjie Yao

IPC: B60H1/00 ,  B60H3/00

Abstract: A mechanism is provided for controlling the internal air-quality of a vehicle, including determining a changing trend of the in-vehicle air-quality based on acquired in-vehicle sensor data and usage status of the vehicle and responsive to the determined changing trend of the in-vehicle air-quality, signaling a control system of the vehicle to control the usage status of the vehicle based on a control policy.

公开(公告)号：US10281284B2

公开(公告)日：2019-05-07

申请号：US15257036

申请日：2016-09-06

Applicant: International Business Machines Corporation

Inventor： Ning Duan ,  Peng Gao ,  Peng Ji ,  Xiao Bo Li ,  Zhi Hu Wang ,  Jun Zhu

IPC: G06F17/30 ,  G01C21/32 ,  G01C21/00 ,  G05D1/02 ,  G01C21/36

Abstract: Embodiments of the present invention provide efficient and dynamic systems and methods for building a hybrid road network and grid based spatial temporal index to handle big trajectory data. Embodiments of the present invention can be used to satisfy the issue of low indexing and compression rate of big trajectory data, and to improve the efficiency of index queries, while also providing a mechanism to account for missing road links in a map.

公开(公告)号：US20190121782A1

公开(公告)日：2019-04-25

申请号：US15787879

申请日：2017-10-19

Applicant: International Business Machines Corporation

Inventor： Wei Sun ,  Ning Duan ,  Ren Jie Yao ,  Chun Yang Ma ,  Peng Ji ,  Jing Chang Huang ,  Peng Gao ,  Zhi Hu Wang

IPC: G06F15/18 ,  G01D18/00 ,  G01D21/02 ,  H04W84/18 ,  H04W84/04

Abstract: Embodiments of the present invention may be directed toward a method, a system, and a computer program product of adaptive calibration of sensors through cognitive learning. In an exemplary embodiment, the method, the system, and the computer program product include (1) in response to receiving a data from at least one calibration sensor and data from an itinerant sensor, comparing the data from the at least one calibration sensor and the data from the itinerant sensor, (2) in response to the comparing, determining, by one or more processors, the accuracy of the itinerant sensor, (3) generating, by the one or more processors, one or more calibration parameters based on the determining and based on a machine learning associated with preexisting sensor information, and (4) executing, by the one or more processors, the one or more calibration parameters.