Name
Abstract | ||
|---|---|---|
This paper addresses a methodology to properly represent a road network in the geographic information system (GIS) for network analysis. Over the years, the real world has become too complex to model properly within a given information system, such as GIS. Ideally, when the real world is represented as accurately as possible, a GIS can answer a question in its virtual world that coincides with the exact answer in the real world. However, existing methods related to impedance modeling for each segment of a road network in a route planning analysis that includes only a distance or time variable do not give proper results. Hence, this study investigates how a road network can represent the real world in a GIS and offer route planning tools. To address this, first, additional realistic variables are taken into account. These include weather, sight-seeing information, road type, and so on. Second, to combine these variables, an impedance model (IM) using the analytical hierarchical process (AHP) method is proposed. Finally, all of the models are implemented and verified with a sensitivity analysis. The models were successfully implemented in this work. All of the paths of the route planning analysis were successfully matched with the drivers' paths that would normally be chosen in reality. It is anticipated that the use of other techniques such as analytical network process (ANP) in addition to AHP would be useful to overcome the aforementioned problem. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.eswa.2010.12.123 | Expert Syst. Appl. |
Keywords | Field | DocType |
road type,route planning analysis,geographic information system,route planning,analytical network process,ahp,road network,impedance model,virtual world,sensitivity analysis,information system,real world,network analysis,gis,real world representation,analytic network process,virtual worlds | Information system,Geographic information system,Data mining,Route planning software,Route planning,Computer science,Enterprise GIS,Artificial intelligence,Network analysis,Analytic hierarchy process,Machine learning | Journal |
Volume | Issue | ISSN |
38 | 10 | Expert Systems With Applications |
Citations | PageRank | References |
12 | 0.61 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abolghasem Sadeghi-Niaraki | 1 | 29 | 6.53 |
| Masood Varshosaz | 2 | 12 | 0.61 |
| Kyehyun Kim | 3 | 123 | 8.29 |
| Jason J. Jung | 4 | 1451 | 135.51 |