E-Go Bicycle Intelligent Speed Adaptation System for Catching the Green Light-Reference-Cited by-同舟云学术

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E-Go Bicycle Intelligent Speed Adaptation System for Catching the Green Light

Published:2024 Issue: Volume: Page:201-220
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:en
Short-container-title:

Author:

Ben Fredj Khalil^ORCID,Pallamreddy Akhil Reddy^ORCID,Heijenk Geert^ORCID,Havinga Paul^ORCID,Huang Yanqiu^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-63989-0_10

Reference24 articles.

1. Enschede Cycling App - Enschede Cycling City. https://enschedefietsstad.nl/enschede-fietst-app/

2. Intelligent Traffic Light Installations — Rijkswaterstaat. https://www.rijkswaterstaat.nl/en/mobility/smart-mobility/talking-traffic/intelligent-traffic-light-installations

3. PrioBike-HH: Enhancing cycling comfort and safety in Hamburg, Interreg VB North Sea Region Programme. https://northsearegion.eu/bits/news/priobike-hh-enhancing-cycling-comfort-and-safety-in-hamburg/

4. Schwung - Lekker snel door groen. https://schwung.nu/

5. Abagnale, C., Cardone, M., Iodice, P., Strano, S., Terzo, M., Vorraro, G.: Model-based control for an innovative power-assisted bicycle. Energy Procedia 81, 606–617 (2015). https://doi.org/10.1016/J.EGYPRO.2015.12.045

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