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).

    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.

Patent Agency Ranking