A novel road network change detection algorithm based on floating car tracking data
A novel road network change detection algorithm based on floating car tracking data
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DOI：
10.1007/s11235-016-0155-5
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发表时间：
2016-03
影响因子：
2.5
通讯作者：
Weidong Fang;Rong Hu;Xiang Xu;Ye Xia;Mao-Hsiung Hung
中科院分区：
文献类型：
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作者：
Weidong Fang;Rong Hu;Xiang Xu;Ye Xia;Mao-Hsiung Hung
道路网络不断变化，变化迅速。传统的路网变化检测方法已不能满足现代应用的需要。提出了一种利用浮动车跟踪数据实时检测路网变化的新算法。利用该算法，将浮动车数据生成的轨迹与实际数据进行匹配，生成福州市部分路网。实验结果表明，该算法具有较好的可行性，得到了较好的路网质量。
Road network changes constantly and rapidly. Traditional road network change detection methods cannot meet the needs of modern applications. This paper proposes a novel detection algorithm that uses the floating car tracking data to detect the changes of road network in real-time. With this novel algorithm, an experiment was carried out by adapting the trajectories derived from floating car data with actual date, to generate a part of the current road network of Fuzhou City. The experiment results show that the algorithm has well feasibility and achieves the better quality road network.