We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

From Eulerian to Lagrangian Sensor Systems

Formal Metadata

Title
From Eulerian to Lagrangian Sensor Systems
Title of Series
Number of Parts
17
Author
License
CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
Abstract
As a public road authority we are facing a new type of data source as everything is connected. In the past we have been used to collecting traffic data using static observation points. With every modern vehicle being connected, there is a paradigm shift, from seeing traffic as a stream passing a static position, to following traffic related sensors as they move in the stream. This represents a major change in the way we collect data, the amount of data we gather and analytics related to it. In light of these changes, and as the number of sensors increase dramatically, the way we analyse and use data to extract information will have to be re-addressed. The new possibilities that arise from this shift, can bring with it substantial savings for the road authorities. It might represent a way to obtain extensive sets of data without big investments in infrastructure. The challenge is to know the quality of each new data source. This has been one of the main issues for the Norwegian Public Road Authority in collecting data from vehicles.