Results 1 to 10 of about 276,491 (314)
Some of the next articles are maybe not open access.

Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network

IEEE Transactions on Geoscience and Remote Sensing, 2017
Chunhong Pan, , Shiming Xiang
exaly  

Network-wide road crash risk screening: A new framework

Accident Analysis and Prevention
Michela Bonera   +2 more
exaly  

Spliting Road Network to Road Segment Instances for Vector Road Mapping

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
Ruoyu Yang, Yinhe Liu, Yanfei Zhong
openaire   +1 more source

Remote sensing image road network detection based on channel attention mechanism [PDF]

open access: yesHeliyon
Extracting and detecting road network consistency from high-resolution remote sensing images has been a hot and difficult problem in the computer vision. Although it has made significant progress, there is still a phenomenon of high training accuracy but
Chuanhui Shan, Xinlong Geng, Chao Han
doaj   +2 more sources

Estonian Road Network and Road Management

open access: yesThe Baltic Journal of Road and Bridge Engineering, 2006
Estonian public road network is one of the densest in the Baltic and Nordic countries with the 52,8 % of paved state roads. Also it is specific in the sense of the organisation of road management the maintenance of which is implemented partly by private ...
Andrus Aavik
doaj   +1 more source

Topology-Aware Road Network Extraction via Multi-Supervised Generative Adversarial Networks

open access: yesRemote Sensing, 2019
Road network extraction from remote sensing images has played an important role in various areas. However, due to complex imaging conditions and terrain factors, such as occlusion and shades, it is very challenging to extract road networks with complete ...
Yang Zhang   +5 more
doaj   +3 more sources

Measuring Road Network Vulnerability with Sensitivity Analysis. [PDF]

open access: yesPLoS ONE, 2017
This paper focuses on the development of a method for road network vulnerability analysis, from the perspective of capacity degradation, which seeks to identify the critical infrastructures in the road network and the operational performance of the whole
Leng Jun-Qiang   +3 more
doaj   +2 more sources

Research on digital flow control model of urban rail transit under the situation of epidemic prevention and control [PDF]

open access: yesSmart and Resilient Transportation, 2021
Purpose – Beijing rail transit can actively control the density of rail transit passenger flow, ensure travel facilities and provide a safe and comfortable riding atmosphere for rail transit passengers during the epidemic. The purpose of this paper is to
Qi Sun   +4 more
doaj   +1 more source

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