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TECHNOLOGIES FOR DETECTION OF ANOMALIES IN VEHICLE TRAFFIC PATTERNS

机译:车辆交通模式异常检测技术

摘要

Technologies for monitoring vehicle traffic include a traffic analysis server that receives infrastructure data from infrastructure sensors positioned along a road segment of a road and vehicle data from one or more vehicles travelling along the road segment. The traffic analysis server determines whether anomalies are present in the traffic data through the road segment based on an expected traffic behavior for the road segment. The traffic analysis server determines the expected traffic behavior for the road segment in a particular time window based on a historical traffic pattern associated with the road segment, based on historical vehicle data and historical infrastructure data captured during a prior time window corresponding to the particular time window for that road segment. Other embodiments are described and claimed.
机译:用于监视车辆交通的技术包括交通分析服务器,该服务器从沿着道路的路段定位的基础设施传感器接收基础设施数据,并从沿着该路段行进的一个或多个车辆接收车辆数据。交通分析服务器基于路段的预期交通行为来确定通过路段的交通数据中是否存在异常。交通分析服务器基于与路段相关联的历史交通模式,基于在对应于该特定时间的先前时间窗期间捕获的历史车辆数据和历史基础设施数据,确定与该路段相关联的历史交通模式在特定时间窗内的路段的预期交通行为。该路段的窗口。描述和要求保护其他实施例。

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