METHOD, APPARATUS, AND SYSTEM FOR TRAFFIC PREDICTION BASED ON ROAD SEGMENT TRAVEL TIME RELIABILITY

    公开(公告)号:US20230206753A1

    公开(公告)日:2023-06-29

    申请号:US17562585

    申请日:2021-12-27

    CPC classification number: G08G1/0129 G08G1/052 G01C21/3691

    Abstract: An approach is provided for traffic data blending based on road segment travel time reliability during traffic prediction. The approach involves, for instance, retrieving real-time traffic information and/or historical traffic information for each road segment within a geographic area. The approach also involves aggregating traffic flow speed data in the real-time traffic information to compute traffic pattern data for each road segment. The traffic pattern data includes static speed data of each said road segment. The approach further involves aggregating traffic flow speed data in the historical traffic information to compute travel time reliability index metric(s) for each said road segment. The approach further involves determining, based on the travel time reliability index metric(s), to use the traffic pattern data, a mean, or a percentile of a road segment travel time distribution in the historical traffic information for traffic prediction associated with each said road segment.

    METHOD, APPARATUS, AND SYSTEM FOR PROVIDING HYBRID TRAFFIC INCIDENT IDENTIFICATION FOR AUTONOMOUS DRIVING

    公开(公告)号:US20210404818A1

    公开(公告)日:2021-12-30

    申请号:US17357584

    申请日:2021-06-24

    Abstract: An approach is provided for providing hybrid traffic incident identification. The approach, for example, involves processing traffic incident information received from at least one incident source to classify the traffic incident information as either well-formatted data (matching at least one previously stored incident code) or non-well-formatted data (not matching the previously stored incident code). The approach also involves converting the well-formatted data to an incident reporting format to generate a first output portion. The approach further involves extracting incident content from the non-well-formatted data. The extracted incident content represents the traffic incident information based on the at least one previously stored incident code. The approach further involves converting the extracted incident content to the incident reporting format to generate a second output portion. The approach further involves providing the first output portion and/or the second output portion as a hybrid incident output.

    SYSTEM AND METHOD TO GENERATE TRAFFIC CONGESTION ESTIMATION DATA FOR CALCULATION OF TRAFFIC CONDITION IN A REGION

    公开(公告)号:US20210174669A1

    公开(公告)日:2021-06-10

    申请号:US16707894

    申请日:2019-12-09

    Abstract: A system, a method, and a computer program product may be provided for generating traffic congestion estimation data of one or more lanes in a region. A system may include a memory configured to store computer program code and a processor configured to execute the computer program code to obtain image data associated with the region. The processor may be configured to determine a count of one or more first movable objects in one or lanes, based on image data, calculate a lane object static capacity of the one or more lanes, based on one or more map free flow or speed limit attributes associated with the one or more lanes and generate the traffic congestion estimation data based on count of first movable objects in the one or more lanes, the moving speed of movable objects crossing multiple image frames, the lane object static capacity of lanes.

    SYSTEM AND A METHOD FOR VALIDATION OF SENSOR DATA

    公开(公告)号:US20240192017A1

    公开(公告)日:2024-06-13

    申请号:US18077066

    申请日:2022-12-07

    CPC classification number: G01C21/3815

    Abstract: The disclosure provides a system, a method, and a computer program product for validation of sensor data. The system may be configured to receive sensor data associated with a hazard. The sensor data may include at least a first time of occurrence of the hazard. The system may be further configured to determine a second time of occurrence of the hazard based on a time-space diagram associated with one or more vehicles that passed through a location of the occurrence of the hazard. The system may further calculate a validation result for the received sensor data based on a comparison of the first time of occurrence and the second time of occurrence, and an associated first predefined threshold.

    METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR IDENTIFYING WORK ZONES WITHIN A MAP

    公开(公告)号:US20230160713A1

    公开(公告)日:2023-05-25

    申请号:US17455792

    申请日:2021-11-19

    CPC classification number: G01C21/367 G01C21/3461 B60W60/001 B60W2552/53

    Abstract: Embodiments described herein may provide a method for aggregating probe data to detect a road work event and generating, from the road work event, a work zone map overlay to inform navigational systems and autonomous vehicles. Methods may include: receiving probe data from a plurality of probe apparatuses traveling within a road network; identifying, from the probe data, a road work event within the road network; determining, from the road work event and the probe data, a work zone; generating a map overlay including the work zone, where the map overlay is independent from map data of the road network; providing the map overlay to at least one vehicle for use in combination with the map data of the road network; and providing for at least one of navigational assistance or at least semi-autonomous vehicle control based on the map overlay of the map data of the road network.

    METHOD, APPARATUS, AND SYSTEM FOR PROVIDING TRANSPORTION LOGISTICS BASED ON ESTIMATED TIME OF ARRIVAL CALCULATION

    公开(公告)号:US20220018674A1

    公开(公告)日:2022-01-20

    申请号:US17374602

    申请日:2021-07-13

    Abstract: An approach is provided for providing a recommended route and departure time combination based on real-time estimated times of arrival (ETAs). The approach, for example, involves determining a plurality of candidate routes between an origin and at least one destination. The approach also involves retrieving real-time information, historical information, predicted information, or a combination thereof associated with the origin, the destination, the plurality of candidate routes, or a combination thereof. The approach further involves calculating respective cost values (e.g., ETAs) for traveling for the plurality of candidate routes at a plurality of different departure times. The respective cost values are based on the real-time information, the historical information, the predicted information, or a combination thereof. The approach further involves determining a recommended route and departure time combination based on the respective cost values. The approach further involves providing the recommended route and departure time combination as an output.

    METHODS AND SYSTEMS FOR PREDICTING TRAFFIC INFORMATION FOR AT LEAST ONE MAP TILE AREA

    公开(公告)号:US20240203246A1

    公开(公告)日:2024-06-20

    申请号:US18082350

    申请日:2022-12-15

    CPC classification number: G08G1/0141 G08G1/0125 G01C21/3492

    Abstract: The disclosure provides a method, a system, and a computer program product for predicting traffic information for at least one map tile area. The method comprises obtaining probe data and map attribute data for each of a plurality of road segments in the at least one map tile area. The method may include generating current traffic condition data for each of the plurality of road segments in the at least one map tile area based on the obtained probe data and the obtained map attribute data. The method may further include obtaining historical traffic pattern data associated with each of the plurality of road segments in the at least one map tile area. The method may further include generating a tile based traffic index (TTI) for the at least one map tile area based on aggregating the current traffic condition data and the historical traffic pattern data of the plurality of road segments in the at least one map tile area and providing TTI and predicting the traffic information for the at least one map tile area based on the generated tile based traffic index (TTI).

    SYSTEM AND METHOD FOR GENERATING TRAFFIC CONGESTION DATA FOR AN IMPACTED ROAD

    公开(公告)号:US20240194059A1

    公开(公告)日:2024-06-13

    申请号:US18077081

    申请日:2022-12-07

    Abstract: A system, a method, and a computer program product may be provided for generating traffic congestion data for a road in a region. The system may include a memory configured to store computer executable instructions and a processor configured to execute the computer executable instructions to obtain probe data and map data. The processor may be further configured to generate traffic condition data for the road. The processor may be further configured to determine speed changes data associated with one or more vehicles. The processor may be further configured to calculate congestion length, time period, congestion speed for the one or more vehicles to reach a non-congestion state from a congestion state. The processor may be further configured to generate the traffic congestion data, based on the speed changes data, congestion length, a time period and congestion speed associated with the one or more vehicles on the road.

    METHOD, APPARATUS, AND SYSTEM FOR DETERMINING ROAD WORK ZONE TRAVEL TIME RELIABILITY BASED ON VEHICLE SENSOR DATA

    公开(公告)号:US20230204372A1

    公开(公告)日:2023-06-29

    申请号:US17562645

    申请日:2021-12-27

    Abstract: An approach is provided for determining road work zone travel time reliability based on vehicle sensor data. The approach involves, for instance, aggregating telematic data generated by vehicles traveling within a geographic area, to detect a road work zone and/or active time period(s) thereof. The approach also involves identifying a start location and an end location of the road work zone. The approach further involves identifying a starting time point when one of the vehicles approaching the start location and an end time point when the vehicle passes the end location. The approach further involves calculating a time difference between the start and end time points as a travel time through the road work zone. The approach further involves aggregating the vehicle travel times, to compute work zone travel time reliability index(es) for the road work zone. The approach further involves providing the travel time reliability index(es) as an output.

    METHODS AND SYSTEMS FOR PREDICTING ROAD CLOSURE IN A REGION

    公开(公告)号:US20220207994A1

    公开(公告)日:2022-06-30

    申请号:US17138583

    申请日:2020-12-30

    Abstract: A method, a system, and a computer program product are provided for predicting road closure in a region. The method comprises obtaining, probe data, such as sensor data, and map data, for the region. The method may include detecting a change in speed of a one or more vehicle on a road, based on the obtained probe data and the obtained map data for the region, wherein the change in speed is associated with a slowdown event associated with the one or more vehicles. The method may include identifying a vehicle event on the road based on the detected change in speed of the one or more vehicles, wherein the vehicle event is associated with a location corresponding to a matching trajectory of the one or more vehicles and predicting the road closure based on the identified vehicle event.

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