ZHANG Xing, LI Qingquan, FANG Zhixiang, HUANG Ling. Landmark and Branch-based Pedestrian Route Complexity and Selection Algorithm[J]. Geomatics and Information Science of Wuhan University, 2013, 38(10): 1239-1242.
Citation:
ZHANG Xing, LI Qingquan, FANG Zhixiang, HUANG Ling. Landmark and Branch-based Pedestrian Route Complexity and Selection Algorithm[J]. Geomatics and Information Science of Wuhan University, 2013, 38(10): 1239-1242.
ZHANG Xing, LI Qingquan, FANG Zhixiang, HUANG Ling. Landmark and Branch-based Pedestrian Route Complexity and Selection Algorithm[J]. Geomatics and Information Science of Wuhan University, 2013, 38(10): 1239-1242.
Citation:
ZHANG Xing, LI Qingquan, FANG Zhixiang, HUANG Ling. Landmark and Branch-based Pedestrian Route Complexity and Selection Algorithm[J]. Geomatics and Information Science of Wuhan University, 2013, 38(10): 1239-1242.
1Shenzhen Key Laboratory of Spatial Smart Sensing and Services,Shenzhen University;2State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan Unviersity;3National High-tech R&D Center of China
Pedestrian route is an important part in human wayfinding and navigation tasks. The routes with many decision points and branches will spend pedestrian much time on spatial decisions. This paper proposes a landmark and branch-based pedestrian route complexity and selection algorithm, in which landmarks are included to reduce the complexity of route and help people to confirmroute choice decisions. Results show that this algorithm can balance the three objectives: travel distance, route complexity and the number of landmarks. Compared to the shortest route, the selected route of this algorithm has lower complexity and higher landmark density.
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