Traffic Information Enrichment: Creating Long-Term Traffic Speed Prediction Ensemble Model for Better Navigation through Waypoints

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F21%3A00055810" target="_blank" >RIV/61384399:31140/21:00055810 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2076-3417/11/1/315/htm" target="_blank" >https://www.mdpi.com/2076-3417/11/1/315/htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/app11010315" target="_blank" >10.3390/app11010315</a>

Result language

angličtina

Original language name

Traffic Information Enrichment: Creating Long-Term Traffic Speed Prediction Ensemble Model for Better Navigation through Waypoints

Original language description

Main topics of the document: country-scale prediction; ensemble learning; fleet management; floating car data; intelligent transportation system; logistics; real time traffic information; speed profiles; weather; workflow management

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/TH04010350" target="_blank" >TH04010350: System for new logistic solution using actual traffic data</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Applied Sciences

ISSN

2076-3417

e-ISSN

—

Volume of the periodical

11

Issue of the periodical within the volume

1

Country of publishing house

CH - SWITZERLAND

Number of pages

32

Pages from-to

"nestrankovano"

UT code for WoS article

000605837800001

EID of the result in the Scopus database

2-s2.0-85099435589