使用路由算法编码网络约束的旅行轨迹

Pablo Martinez Lerin, D. Yamamoto, N. Takahashi
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引用次数: 6

摘要

本文提出了一种网络约束下的出行轨迹通用编码器,并将所提出的通用编码器与两种路由算法相结合,实现了两个编码器,在不修改路网的情况下减小了出行轨迹路径的大小。尽管大多数先前的轨迹压缩方法在轨迹的空间分量中引入了误差来实现压缩,但我们认为旅行轨迹的路径,即行进的道路序列,对于许多应用来说是至关重要的信息。实验结果表明,这两种编码器的压缩效果优于一般的数据压缩方法。
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Encoding network-constrained travel trajectories using routing algorithms
This study proposes a generic encoder for network-constrained travel trajectories, and it implements two encoders by combining the proposed generic encoder with two routing algorithms, which reduce the size of a travel trajectory's path along a road network without modifying it. Although most previous trajectory compression methods introduce an error in the spatial component of trajectories to achieve compression, we argue that the path of a travel trajectory, i.e. the sequence of roads travelled, is crucial information for many applications. Experimental results obtained using a large-data set of real travel trajectories show that the two proposed encoders achieve high compression, outperforming a general purpose data compression method.
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