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作 者:滕威[1] TENG Wei(Department of Economics and Management,Shaanxi College of Communication Technology,Xi’an 710014,China)
机构地区:[1]陕西交通职业技术学院经济管理学院,陕西西安710014
出 处:《微型电脑应用》2021年第9期123-125,共3页Microcomputer Applications
摘 要:随着社会交通的快速发展,对智能交通系统及定位技术的要求逐渐提高,促使地图匹配功能得以广泛应用,地图匹配的发展趋势呈现出多种匹配算法的融合,高级的地图匹配算法比较复杂、精准度较高,适合复杂的道路。以当前的交通拥堵状况为依据并综合多种因素得出最优路线,在对物流行业需求进行分析的基础上,完成了物流车辆运输定位监控系统的设计。详细阐述了地图匹配算法及流程,并介绍了物流运输导航的最短路径算法,实现了地图匹配算法,使车辆运输定位监控能力得以显著提升,为物流车辆运输定位监控系统的优化提供参考。With the rapid development of social transportation,the requirements for intelligent transportation system and positioning technology are gradually improved,which makes the map matching function widely be used.The development trend of map matching presents the fusion of multiple matching algorithms.The comparison of advanced map matching algorithms is developed based on the current traffic congestion situation and comprehensive factors such that the optimal route can be obtained.It is complex and accurate,and is suitable for complex roads.Based on the analysis of the logistics industry demand,this paper completes the logistics vehicle transportation positioning monitoring.The design of the system elaborates the map matching algorithm and process,and introduces the shortest path algorithm of logistics transportation navigation.It implements the map matching algorithm,which can significantly improve the vehicle transportation location monitoring capability,and provides the reference for the optimization of logistics vehicle transportation positioning monitoring system.
分 类 号:TP277[自动化与计算机技术—检测技术与自动化装置]
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