We evaluate three different approaches to road network partitioning for simulation. The first approach consists of algorithms that rely on dividing the road physical network spatially into rectangular blocks of different sizes. Our second approach uses a graph representation of the road network, and uses meta-heuristic search algorithms to partition the graph. The final hybrid scheme builds clu...

Urban expansion has become a widespread trend in developing countries. Road networks are an extremely important factor driving the expansion of urban land and require further study. To investigate the relationship between road networks and urban expansion, we selected Beijing, New York, London, and Chicago as study areas. First, we obtained urban land use vector data through image interpretatio...

Aiming at the dense urban road network vulnerability without structural negative consequences, this paper proposes a novel non-structural road network vulnerability analysis framework. Three aspects of the framework are mainly described: (i) the rationality of non-structural road network vulnerability, (ii) the metrics for negative consequences accounting for variant road conditions, and (iii) ...

In this article, a road-network-based geolocalization method is proposed. We match roads in the onboard images to reference road vector map, and realize successful localization over areas as large whole city. The network matching problem treated point cloud registration under homography transformation solved hypothesize-and-test framework. To tackle problem, global projective-invariant feature ...

A well-developed road network allows all forest activities, including wood harvesting, firefighting and recreational activities. However, forest road construction and maintenance involve economic and environmental costs. For these reasons, forest road network planning is a fundamental phase of forest management, maximising the benefits and reducing costs and impacts. Thanks to modern technologi...

In this paper, a new road network programming model and strategy are proposed. First, the definition of basic road network is introduced. Then a new mathematical model and method on solving the basic road network programming are proposed. Last, a typical example with relevant evaluation are carried out, which testified the feasibility and efficiency of the proposed model and method.

An approach to complete road networks extracted from aerial images is presented. Since low-level road extraction results will generally be fragmented and contain false hypotheses, this task involves selecting the correct roads from the extraction results as well as connecting them to construct the road network. Since the presented approach models the road network as a graph, it can handle diffe...

Bayesian methods coupled with Markovian frameworks has several applications in remote sensing images processing, such as the pixel level applications like filtering, segmentation and classification, and the higher level applications like object recognition and organization etc. This article illustrates the powerfulness of Markovian model at two levels for the road extraction problem in remote s...

The updating of road network databases is crucial to many Geographic Information System (GIS) applications such as navigation, urban planning, etc. This paper presents a comprehensive framework for image-based road network updating, in which the following three tasks are performed sequentially: road extraction from imagery, road change detection and updating, and spatio-temporal modeling. For r...