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LEARNING ROAD NAVIGATION PATHS BASED ON AGGREGATE DRIVER BEHAVIOR

机译:基于驾驶员综合行为的道路导航路径

摘要

Techniques are described for generating and using information regarding road traffic in various ways, including by obtaining and analyzing road traffic information regarding actual behavior of drivers of vehicles on a network of roads. Obtained actual driver behavior information may in some situations be analyzed to identify decision point locations at which drivers face choices corresponding to possible alternative routes through the network of roads (e.g., intersections, highway exits and/or entrances, etc.), as well as to track the actual use by drivers of particular paths between particular decision points in order to determine preferred compound links between those decision point locations. The identified and determined information from the analysis may then be used in various manners, including in some situations to assist in determining particular recommended or preferred routes of vehicles through the network of roads based at least in part on actual driver behavior information.
机译:描述了用于以各种方式生成和使用关于道路交通的信息的技术,包括通过获得和分析关于道路网络上的车辆驾驶员的实际行为的道路交通信息。在某些情况下,可以分析获得的实际驾驶员行为信息,以识别驾驶员面对与道路网(例如,交叉路口,高速公路出入口和/或入口等)可能的替代路线相对应的选择的决策点位置,以及跟踪驾驶员在特定决策点之间特定路径的实际使用情况,以确定这些决策点位置之间的首选复合链接。然后可以以各种方式使用从分析中识别和确定的信息,包括在某些情况下至少部分基于实际驾驶员行为信息来帮助确定车辆通过道路网络的特定推荐或首选路线。

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