Results 281 to 290 of about 148,828 (311)
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2008
Let $\mathcal{N}$ and $\mathcal{M}$ be two road networks represented in vector form and covering rectangular areas Rand R?, respectively, not necessarily parallel to each other, but with R? ? R. We assume that $\mathcal{N}$ and $\mathcal{M}$ use different coordinate systems at (possibly) different, but known scales.
Yago Diez +2 more
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Let $\mathcal{N}$ and $\mathcal{M}$ be two road networks represented in vector form and covering rectangular areas Rand R?, respectively, not necessarily parallel to each other, but with R? ? R. We assume that $\mathcal{N}$ and $\mathcal{M}$ use different coordinate systems at (possibly) different, but known scales.
Yago Diez +2 more
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Road safety performance indicators for the interurban road network
Accident Analysis & Prevention, 2013Various road safety performance indicators (SPIs) have been proposed for different road safety research areas, mainly as regards driver behaviour (e.g. seat belt use, alcohol, drugs, etc.) and vehicles (e.g. passive safety); however, no SPIs for the road network and design have been developed. The objective of this research is the development of an SPI
George, Yannis +6 more
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Compression of Digital Road Networks
2007In the consumer market, there has been an increasing interest in portable navigation systems in the last few years. These systems usually work on digital map databases stored on SD cards. As the price for these SD cards heavily depends on their capacity and as digital map databases are rather space-consuming, relatively high hardware costs go along ...
Jonghyun Suh +5 more
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Fréchet-Distance on Road Networks
2011As a measure for the resemblance of tracks in a network graph, we consider the so-called Freechet-distance based on network distance. For paths P and Q consisting of p and q consecutive edges, an O((p2+q2)logpq) time algorithm measuring the Freechet-distance between P and Q is developed.
Chenglin Fan, Jun Luo 0008, Binhai Zhu
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On Balanced Separators in Road Networks
2015The following algorithm partitions road networks surprisingly well: i sort the vertices by longitude or latitude, or some linear combination and ii compute the maximum flow from the first $$k$$ nodes forming the source to the last $$k$$ nodes forming the sink.
Aaron Schild, Christian Sommer 0001
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Effects of road and river networks on sediment connectivity in mountainous watersheds
Science of the Total Environment, 2022QINGHE Zhao, Jinhai Yu, Shengyan Ding
exaly
Deep Graph Convolutional Networks for Accurate Automatic Road Network Selection
ISPRS International Journal of Geo-Information, 2021Kang Zhang
exaly
Comparison of Prediction Models for Road Deaths On Road Network
2022 14th International Conference on Knowledge and Smart Technology (KST), 2022Thaninthorn Whasphutthisit +1 more
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