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Research on Continuous Path Guidance Method Based on the City Point of Interest

机译:基于城市兴趣点的连续路径制导方法研究

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摘要

For existing path algorithms cannot achieve more continuous search, we propose the ASSA algorithms to let the travellers access to multiple points of interest in a trip. The ASSA algorithm has optimized the network structure, greatly reducing the amount of data access, and through temporal reasoning based on point of interest associated with regional to get the best travel route. The city POI data are classified based on the information and designed more than a point of interest rules under the access mechanism and its experimental verification. The results showed that: ASSA algorithm can improve computing performance by more than 16% and to avoid the emergence of non-optimal path compared to NS nearest algorithm and it can effectively meet the different points of interest rules under the access needs of travellers.
机译:对于现有的路径算法无法实现更连续的搜索,我们提出了ASSA算法,以使旅行者可以在旅行中访问多个景点。 ASSA算法优化了网络结构,大大减少了数据访问量,并通过基于与区域关联的兴趣点的时间推理来获得最佳旅行路线。根据这些信息对城市POI数据进行分类,并根据访问机制及其实验验证设计了多个兴趣点规则。结果表明:与NS最近算法相比,ASSA算法可以将计算性能提高16%以上,并且避免出现非最优路径,并且可以有效满足旅行者访问需求下的不同兴趣点规则。

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