Query (e.g., shortest path) on road networks has been extensively studied. Although most of the existing query processing approaches are designed for centralized environments, there is a growing need to handle queries on road networks in distributed environments due to the increasing query workload and the challenge of querying large networks. In this demonstration, we showcase a distributed sy...

Abstract The purpose of this paper is to clarify the properties of road network patterns by considering the relationship between neighborhood intersections. The Relative Neighborhood Graph (RNG), which is one of the proximity graph, is used to analyze the road network patterns of major cities in the United States as a network construction model. The grid-tree proportion (GTP) index and the cros...

This paper proposes optimization frameworks for discrete road network design considering the land-use transport interaction over time. Unlike existing models, the optimization frameworks can determine the optimal designs automatically without trial-and-error once the objective(s) is/are clearly defined. Moreover, these frameworks allow the evaluation of the impacts of the optimal designs on the...

In this paper, a supply chain network design problem is explained which contains environmental concerns in arcs and nodes of network. It is assumed that there are some routes such as road, rail and etc. in each pair of nodes. In this model decision variables are choosing facilities to open, environmental investment level in each facility and flow of products between nodes in each route. A multi...

30 road ~odels are widely used in many computer applications such as racing games and driving simulations_ However, almost all hl~h.-fideilly 3D road models were generated manually by professional artists at the expense of intensive labor. There are ver:J few eXlsllng methods for automatically generating 30 high-fidelity road networks, especially those existing in the real world. This paper pr....

In this paper we propose a novel methodology for extracting a road network and its nodes from satellite images of Algeria country. This developed technique is a progress of our previous research works. It is founded on the information theory and the mathematical morphology; the information theory and the mathematical morphology are combined together to extract and link the road segments to form...

In the traffic flow on the city road network, it is observed that a new additional road, which is constructed for overcoming the traffic jam, causes more terrible traffic jam. This is well known as Braess’s paradox. Recently, it is pointed out that Braess’s paradox depends on the traffic density and the paradox disappears at high traffic density. The aim of this study is to describe the algorit...

The extraction of road network is an emerging area in information extraction from high-resolution satellite images (HRSI). It is also an interesting field that incorporates various tactics to achieve road network. The process of road detection from remote sensing images is quite complex, due to the presence of various noises. These noises could be the vehicles, crossing lines and toll bridges. ...