Name
Abstract | ||
|---|---|---|
During the High-speed railway location design the following factors are mainly considered: the topographical condition, geomorphy, geology, hydrology, layout plan, environmental influence, engineering reliability, security, investment income and so on. The decision for these factors is the key to the railway location design optimization. In this paper, high-speed railway location system is established based on GIS technology. The design parameters are obtained by a series of analyses to the influence factors. The analyses include buffer analysis, overlay analysis, network analysis and hierarchical analysis. By adjusting the technical constraints or environmental indicators, the multi-factor, multi-parameter comprehensive quantitative evaluation system for high-speed railway location is realized. Finally according to the hierarchy model of the final evaluation system of optimal railway location decision, the weight of program level and criterion level and the weight of criterion level are integrated to determine the ultimate weight of the program level to object level. And the program optimization is fulfilled and the optimal railway location is obtained. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IGARSS.2009.5418170 | IGARSS |
Keywords | Field | DocType |
geographical information system,location hydrology,location topography,geographic information systems,gis,civil engineering computing,investment income,high speed railway location design,location design,location geomorphology,optimization method,location security,environmental influence,hierarchical analysis,algorithm,overlay analysis,location geology,layout plan,gis technology,geotechnical engineering,analytic hierarchy process,design parameters,design engineering,buffer analysis,network analysis,engineering reliability,railway engineering,security,program optimization,reliability engineering,investments,design optimization,geology,hydrology | Program optimization,Geographic information system,Computer vision,Railway engineering,Computer science,Operations research,Artificial intelligence,Network analysis,Overlay,Hierarchy,Analytic hierarchy process,Hierarchical analysis | Conference |
Volume | ISSN | ISBN |
2 | 2153-6996 | 978-1-4244-3395-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongwei Qiu | 1 | 0 | 2.70 |
| Mingyi Du | 2 | 4 | 8.65 |
| Shuqiang Lu | 3 | 0 | 1.35 |
| Ruoming Shi | 4 | 4 | 3.80 |