Social vehicle navigation: integrating shared driving experience into vehicle navigation
Social vehicle navigation: integrating shared driving experience into vehicle navigation
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DOI：
10.1145/2444776.2444798
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发表时间：
2013-02
期刊：
影响因子：
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通讯作者：
Wenjie Sha;Daehan Kwak;B. R. Badrinath;L. Iftode
中科院分区：
文献类型：
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作者：
Wenjie Sha;Daehan Kwak;B. R. Badrinath;L. Iftode
在本文中，我们提出了一种社交车辆导航系统，它将驾驶员提供的信息集成到车辆导航系统中，以计算个性化路线。我们的方法允许注册到某些车辆社交网络组的驾驶员使用语音推文与其他驾驶员分享驾驶体验。这些推文会根据位置和目的地自动聚合成每个社交群体的推文摘要。在收听推文摘要时，驾驶员可以指示社交导航器避开或选择某些路段，以计算个性化路线。我们展示了我们的初始设计以及针对 Android 平台实现的简单原型。
In this paper, we propose a Social Vehicle Navigation system that integrates driver-provided information into a vehicle navigation system in order to calculate personalized routing. Our approach allows drivers registered into certain vehicle social network groups to share driving experiences with other drivers using voice tweets. These tweets are automatically aggregated into tweet digests for each social group based on location and destination. While listening to the tweet digests, a driver can instruct the social navigator to avoid or choose certain road segments in order to calculate a personalized route. We present our initial design along with a simple prototype implemented for the Android platform.