This article presents the development of an application (App) for mobile devices to visualize hotspots in the road network of Madrid metropolitan area, which is also aimed at warning drivers when approaching those hotspots. The paper describes, firstly, the nature of data used and their provenance, and then puts the focus on the Extraction, Transformation and Loading Process (or ETL Process) carried out for the generation of the structured data used by the App. Afterwards, the main features and functionalities of the developed App are also described.
Data mining approach for traffic hotspots management: Case of Madrid metropolitan area
2018-11-01
576857 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Urban sprawl and travel to work: the case of the metropolitan area of Madrid
Online Contents | 2010
|Traffic survey Los Angeles metropolitan area 1937
Engineering Index Backfile | 1937
Traffic survey Los Angeles metropolitan area 1937
Engineering Index Backfile | 1937