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Xuan Guo, Junnan Liu, Fang Wu and Haizhong Qian
As an essential role in cartographic generalization, road network selection produces basic geographic information across map scales. However, the previous selection methods could not simultaneously consider both attribute characteristics and spatial stru...
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Zheng Lyu, Qun Sun, Jingzhen Ma, Qing Xu, Yuanfu Li and Fubing Zhang
Residential areas and road networks have a strong geographical correlation. The development of a single geographical feature could destroy the geographical correlation. It is necessary to establish collaborative generalization models suitable for multipl...
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Pengda Wu, Yong Yin, Chuangqi Wu, Xiaofei Bai, Chunxiao Zhang and Zhaoxin Dai
Road networks are the skeletal elements of topographic maps at different scales, and road selection is a prerequisite for implementing continuous multiscale spatial representations of road networks. The mesh-based approach is a common, advanced and power...
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Jing Zheng, Ziren Gao, Jingsong Ma, Jie Shen and Kang Zhang
The selection of road networks is very important for cartographic generalization. Traditional artificial intelligence methods have improved selection efficiency but cannot fully extract the spatial features of road networks. However, current selection me...
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Jianting Yang, Kongyang Zhao, Muzi Li, Zhu Xu and Zhilin Li
Automated generalization of road network data is of great concern to the map generalization community because of the importance of road data and the difficulty involved. Complex junctions are where roads meet and join in a complicated way and identifying...
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Radan ?uba, Martijn Meijers and Peter van Oosterom
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Jianchen Zhang, Jiayao Wang and Heying Li
Incremental updating is an important technical method used to maintain the data of road networks. Topology conflict detection of multiscale road networks in incremental updating is an important link. Most of the previous algorithms focus on a single scal...
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Izabela Karsznia, Karolina Wereszczynska and Robert Weibel
The complexity of a road network must be reduced after a scale change, so that the legibility of the map can be maintained. However, deciding whether to show a particular road section on the map is a very complex process. This process, called selection, ...
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Minshi Liu, Ling Zhang, Yi Long, Yong Sun and Mingwei Zhao
With the rising popularity of portable mobile positioning equipment, the volume of mobile trajectory data is increasing. Therefore, trajectory data compression has become an important basis for trajectory data processing, analysis, and mining. According ...
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Yicong Li, Tong Zhang, Xiaofei Lv, Yingxi Lu and Wangshu Wang
It is important to capture passengers? public transit behavior and their mobility to create profiles, which are critical for analyzing human activities, understanding the social and economic structure of cities, improving public transportation, assisting...
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Abdullah As Sami, Saadman Sakib, Kaushik Deb and Iqbal H. Sarker
Deep learning has enabled a straightforward, convenient method of road pavement infrastructure management that facilitates a secure, cost-effective, and efficient transportation network. Manual road pavement inspection is time-consuming and dangerous, ma...
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Xiaomin Lu, Haowen Yan, Wende Li, Xiaojun Li and Fang Wu
Points on maps that stand for geographic objects such as settlements are generally connected by road networks. However, in the existing algorithms for point cluster simplification, points are usually viewed as discrete objects or their distances are cons...
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Zhongyu Sun, Wangping Zhou, Chen Ding and Min Xia
Extracting buildings and roads from remote sensing images is very important in the area of land cover monitoring, which is of great help to urban planning. Currently, a deep learning method is used by the majority of building and road extraction algorith...
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Yang Shen, Changjiang Zheng and Fei Wu
Urban highway tunnels are frequent accident locations, and predicting and analyzing road conditions after accidents to avoid traffic congestion is a key measure for tunnel traffic operation management. In this paper, 200 traffic accident data from the Yi...
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Xiongfeng Yan, Huan Chen, Haoran Huang, Qian Liu and Min Yang
Building typification is of theoretical interest and practical significance in map generalization. It aims to transform an initial set of buildings to a subset, while maintaining the essential distribution characteristics and important individual buildin...
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Xiaojie Cui, Jiayao Wang, Fang Wu, Jinghan Li, Xianyong Gong, Yao Zhao and Ruoxin Zhu
The spatial pattern is a kind of typical structural knowledge that reflects the distribution characteristics of object groups. As an important semantic pattern of road networks, the city center is significant to urban analysis, cartographic generalizatio...
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Sina Keller, Raoul Gabriel and Johanna Guth
Average speed information, which is essential for routing applications, is often missing in the freely available OpenStreetMap (OSM) road network. In this contribution, we propose an estimation framework, including different machine learning (ML) models ...
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Dragan Gataric, Nenad Ru?kic, Branko Aleksic, Tihomir Ðuric, Lato Pezo, Biljana Loncar and Milada Pezo
Road traffic accidents are a significant public health issue, accounting for almost 1.3 million deaths worldwide annually, with millions more experiencing non-fatal injuries. A variety of subjective and objective factors contribute to the occurrence of t...
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