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Current distribution network fault location system has a weak fault tolerance. When the information uploaded by FTU is wrong, the misjudgment will often appear. The ant colony algorithm has strong robustness, and it can solve the combinatorial optimization problems better, like distribution network fault location. This paper proposes a fault location method of error correction based on ant colony...
We consider a large-scale road network in Eastern Massachusetts. Using real traffic data in the form of spatial average speeds and the flow capacity for each road segment of the network, we convert the speed data to flow data and estimate the origin-destination flow demand matrices for the network. Assuming that the observed traffic data correspond to user (Wardrop) equilibria for different times-of-the-day...
In this research, the year of 1986–1987 and 2005–2006 were chosen as two study periods, two land use maps on the base of two TM images of 1987 and 2005 were classified manually. Then the land use changes and weather changes were analyzed. Moreover, a SWAT model was setup and carried out in the study area to simulate the hydrological response to human activities. The results showed that: Human activities...
In this paper, we study the methods of constructing place-name ontology of Beijing based on attribute properties and spatial relation properties of place-name entities from the perspective of spatial cognition. Firstly, we locate place-name entities in the coordinate frame of Beijing city qualitatively and define the concept of place-name entities combining with the types of them. And then select...
Wayfinding is a kind of question we have to face when we going out every day. A great deal of research on path analysis algorithms have been performed and applied in wayfinding, however most algorithms on minimal path, optimal path are carried out from the mathematical point of view, neglecting the consideration of geographical knowledge. This paper tries to find the factors affecting people's satisfaction...
In recent years, the development of high-resolution remote sensing image extends the visual field of the terrain features. Quickbird and other high-resolution remote sensing image can show more characteristics such as shape, spectral, texture and so on. Back Propagation neural network is widely used in remote sensing image classification in recent years, it is a self-adaptive dynamical system which...
From the perspective of semantic network model, this paper does research on the urban road extraction from high-resolution remote sensing images. First, we analyze spatial features and contextual information of road in high resolution remote sensing images. By using the method of regional segmentation edge detection, area filter and Hough transform methods respectively, we obtain the candidate nodes...
In this paper, we do research on the patterns of path representation in Chinese language from the perspective of spatial cognition. At first, we acquire Chinese sentences of path representation in the form of questionnaire. In the data processing stage, we extract the trunk of each sentence have acquired and statistic the rules of words used in these sentences. Then we establish the knowledgebase...
The Urban Public Transportation Information Service System, for the bus arrival time showed on the intelligent electronic station board, is designed to provide accurate and timely information which can help travelers choose transit lines and the shortest paths, can improve the travel efficiency and attract more potential travelers. However, the current bus arrival time prediction model under application...
Spatial relationships, which refer to the relationship among some geographical entities, are very important in geographic information systems. Involving the relations of topology, distance and direction, route choice problem is also the contents of spatial relationships. This paper aims to explore the ring roads impact on travelers when choosing routes in Beijing, and to provide a reference model...
Recognition distance in urban space is affected by many factors. Based on the relevant factors, this paper sums up those which affect urban distance cognition in the travel mode of bus, and conducts a cognitive test to get people's recognition data. We make some quantitative analysis of these data in the use of statistical methods. The results show that: in the bus travel mode, recognition distance...
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