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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We consider the following problem : we have a high-resolution street networkof a given city, and low-resolution measurements of traffic within this city.We want to associate to each measurement the set of streets corresponding tothe observed traffic. To do so, we take benefit of specific properties of thesedata to match measured links to links in the street network. We propose severalsuccess criteria for the obtained matching. They show that the matchingalgorithm generally performs very well, and they give complementary ways todetect data discrepancies that makes any matching highly dubious.

Mapping low-resolution edges to high-resolution paths: the case of traffic measurements in cities