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An improved probabilistic relaxation method for matching multi-scale road networks

International Journal of Digital Earth 2018年第6期11卷 635-655页

作者： Jianchen Zhang Yanhui Wang Wenji Zhao College of Resources Environment and Tourism Capital Normal UniversityBeijingPeople’s Republic of China D Information Collection and Application Key Lab of Education Ministry Capital Normal UniversityBeijingPeople’s Republic of China Beijing State key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Capital Normal UniversityBeijingPeople’s Republic of China

matching multi-scale road networks in the same area is the first step in merging two road networks or updating one based upon the *** quality of the merge or update depends greatly on the matching accuracy of the two road *** propose an improved probabilistic relaxation method,considering both local and global optimizations for matching multi-scale of road *** aim is to achieve local optimization,as well as to address the identification of the M:N matching pattern by means of inserting virtual nodes to achieve global optimization ***,by adding two attribute-related evaluation indicators,we developed four evaluation indicators to evaluate the matching accuracy,considering both geographic and attribute *** paper also provides instructions on how to identify the proper buffer threshold during matching *** experiments were conducted to compare the proposed method with the traditional *** results indicate that:(1)the overall matching accuracy of each evaluation indicator exceeds 90%;(2)the overall matching accuracy increases by 6–12%after an M:N matching pattern is added,and by 4–6%following the addition of topology indicators;and(3)the proper buffer threshold is about twice the average value of the closest distance from all nodes.

关键词： Improved probabilistic relaxation multi-scale road network matching topology constraint M:N matching pairs matching accuracy

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