Results 251 to 260 of about 8,402,433 (327)
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Schematization of road networks
Proceedings of the seventeenth annual symposium on Computational geometry, 2001We study the problem of computing schematized versions of network maps , like railroad maps. Every path of the schematized map has two or three links with restricted orientations, and topologically, the schematized map must be equivalent to the input map.
Cabello Justo, S. +4 more
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Road Network Reserve Capacity Considering Road Network Service Level
2014 Sixth International Conference on Measuring Technology and Mechatronics Automation, 2014In order to obtain road network capacity under specified service level, a bi-level programming model of network reserve capacity based on road service level restraint is built. In this model, the basic OD traffic demand multiplier is maximized with service level restraint in the upper problem and a stochastic user equilibrium assignment model is used ...
Lu Rong, Huang Zhongxiang, Shan Liangci
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, 2020
To develop disaster mitigation measures in coastal regions affected by earthquakes, it is important to consider the effects of both seismic and tsunami hazards on road structures and assess the social impacts associated with the economic loss and ...
H. Ishibashi +5 more
semanticscholar +1 more source
To develop disaster mitigation measures in coastal regions affected by earthquakes, it is important to consider the effects of both seismic and tsunami hazards on road structures and assess the social impacts associated with the economic loss and ...
H. Ishibashi +5 more
semanticscholar +1 more source
Road finding for road-network extraction
Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition, 2003Automatic extraction of roads from aerial photos has been demonstrated in a number of systems, but the systems which display the better capabilities usually rely on manual selection of road starting points. This interaction with a human operator is eliminated by integrating a road-finding module into a road network extraction system.
Z. Aviad, P.D. Carnine
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Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020
Mobile navigation is a critical component in mobile maps. Yawing detection (does a vehicle yaw) is an important task in mobile navigation. In regions containing parallel and close elevated and surface roads, it is hard to detect yawing events using traditional methods, which mainly rely on low-accuracy positions and moving directions.
Xiaobing Zhang +5 more
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Mobile navigation is a critical component in mobile maps. Yawing detection (does a vehicle yaw) is an important task in mobile navigation. In regions containing parallel and close elevated and surface roads, it is hard to detect yawing events using traditional methods, which mainly rely on low-accuracy positions and moving directions.
Xiaobing Zhang +5 more
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IEEE Transactions on Geoscience and Remote Sensing, 2019
It is a classical task to automatically extract road networks from very high-resolution (VHR) images in remote sensing. This paper presents a novel method for extracting road networks from VHR remotely sensed images in complex urban scenes.
Yahui Liu +5 more
semanticscholar +1 more source
It is a classical task to automatically extract road networks from very high-resolution (VHR) images in remote sensing. This paper presents a novel method for extracting road networks from VHR remotely sensed images in complex urban scenes.
Yahui Liu +5 more
semanticscholar +1 more source
Sustainable cities and society, 2020
This paper presents a probabilistic model for assessing risk of cascading failures in co-located road and channel networks. The proposed Bayesian network analysis framework integrates network structural properties and empirical flood propagation data to ...
Shangjia Dong +3 more
semanticscholar +1 more source
This paper presents a probabilistic model for assessing risk of cascading failures in co-located road and channel networks. The proposed Bayesian network analysis framework integrates network structural properties and empirical flood propagation data to ...
Shangjia Dong +3 more
semanticscholar +1 more source
Proceedings of the VLDB Endowment
Spatio-Temporal Graph Neural Network (STGNN) has been used as a common workhorse for traffic forecasting. However, most of them require prohibitive quadratic computational complexity to capture long-range spatio-temporal dependencies, thus hindering ...
Jindong Han +5 more
semanticscholar +1 more source
Spatio-Temporal Graph Neural Network (STGNN) has been used as a common workhorse for traffic forecasting. However, most of them require prohibitive quadratic computational complexity to capture long-range spatio-temporal dependencies, thus hindering ...
Jindong Han +5 more
semanticscholar +1 more source
Progressive Top-K Nearest Neighbors Search in Large Road Networks
SIGMOD Conference, 2020Computing top-k nearest neighbors (kNN) is a fundamental problem in road networks. Existing solutions either need a complicated parameter configuration in index construction or incur high costs when scanning an unbounded number of vertices in query ...
Dian Ouyang +5 more
semanticscholar +1 more source
On Representation Learning for Road Networks
ACM Transactions on Intelligent Systems and Technology, 2020Informative representation of road networks is essential to a wide variety of applications on intelligent transportation systems. In this article, we design a new learning framework, called Representation Learning for Road Networks (RLRN), which explores
Meng-xiang Wang +3 more
semanticscholar +1 more source