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Methodology and system for routing optimization in GPS-based Navigation, combining dynamic traffic data

机译:结合动态交通数据的基于GPS导航中路线优化的方法和系统

摘要

Disclosed is a methodology for the collection, processing and distribution of traffic data and delivering more accurate routing in GPS-based Personal Navigation Assistants (PNAs). The methodology includes a) Data Collection Methodology (DCM), b) a Data Incorporation Methodology (DIM), and c) a Routing Methodology (RM). The DCM regards the collection of information related to the traffic flow in each road. The DIM includes a procedure executed at a central system (CS), outside the PNA, performing the incorporation of the “trace data” (i.e. user-submitted route-related information, including a list of periodically collected, time-stamped GPS samples, augmented with other parameter values defining the vehicle-type, weather-conditions, road-type, holiday-type), collected by the DCM. The RM determines, by means of suitable PNA software, the shortest route from a starting point to a final destination, through the combining the static data from existing maps residing inside the PNA, with the dynamic (time-variant) data derived by the DIM.
机译:公开了一种用于收集,处理和分配交通数据并在基于GPS的个人导航助手(PNA)中提供更精确路线的方法。该方法包括a)数据收集方法(DCM),b)数据合并方法(DIM)和c)路由方法(RM)。 DCM会考虑与每条道路的交通流量相关的信息收集。 DIM包括在PNA外部的中央系统(CS)执行的过程,用于合并“跟踪数据”(即,用户提交的与路线相关的信息,包括定期收集的,带时间戳的GPS样本的列表,并添加了其他参数值,这些参数值定义了DCM收集的车辆类型,天气情况,道路类型,假日类型)。 RM通过将来自PNA内部的现有地图的静态数据与DIM导出的动态(时变)数据相结合,从而通过合适的PNA软件确定从起点到最终目的地的最短路径。

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