I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Traffic Flow Prediction for Smart Traffic Lights Using Mach..:
Alfonso Navarro-Espinoza
;
Oscar Roberto López-Bonilla
;
Enrique Efrén García-Guerrero
...
https://www.mdpi.com/2227-7080/10/1/5. , 2022
Link:
https://doi.org/10.3390/technologies10010005
RT Journal T1
Traffic Flow Prediction for Smart Traffic Lights Using Machine Learning Algorithms
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:c89b6c71f19546ee9454c1aa8c8008a9&Exemplar=1&LAN=DE A1 Alfonso Navarro-Espinoza A1 Oscar Roberto López-Bonilla A1 Enrique Efrén García-Guerrero A1 Esteban Tlelo-Cuautle A1 Didier López-Mancilla A1 Carlos Hernández-Mejía A1 Everardo Inzunza-González PB MDPI AG YR 2022 K1 intelligent transportation system K1 smart city K1 traffic flow prediction K1 traffic light K1 machine-learning K1 deep-learning K1 Technology K1 T JF https://www.mdpi.com/2227-7080/10/1/5 LK http://dx.doi.org/https://doi.org/10.3390/technologies10010005 DO https://doi.org/10.3390/technologies10010005 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)