English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this paper we investigate the sensitivity of the LWR model on network toits parameters and to the network itself. The quantification of sensitivity isobtained by measuring the Wasserstein distance between two LWR solutionscorresponding to different inputs. To this end, we propose a numerical methodto approximate the Wasserstein distance between two density distributionsdefined on a network. We found a large sensitivity to the traffic distributionat junctions, the network size, and the network topology.

Sensitivity analysis of the LWR model for traffic forecast on large networks using Wasserstein distance