Fuel Efficient High-Density Platooning Using Future Conditions Prediction-Reference-Cited by-同舟云学术

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Fuel Efficient High-Density Platooning Using Future Conditions Prediction

Published:2022 Issue: Volume:3 Page:786-798
ISSN:2687-7813
Container-title:IEEE Open Journal of Intelligent Transportation Systems
language:
Short-container-title:IEEE Open J. Intell. Transp. Syst.

Author:

Jornod Guillaume¹^ORCID,Pfadler Andreas²^ORCID,Carreira Sofia³^ORCID,Assaad Ahmad El⁴,Kurner Thomas¹^ORCID

Affiliation:

1. Institut für Nachrichtentechnik, Technische Universität Braunschweig, Braunschweig, Germany

2. Autonomous Driving Department, Volkswagen Commercial Vehicles, Wolfsburg, Germany

3. Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

4. Autonomous Driving Department, Volkswagen AG, Wolfsburg, Germany

Funder

Federal Ministry of Education and Research of the Federal Republic of Germany (BMBF) in the framework of the Project 5G NetMobil

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/8784355/9680328/09769697.pdf?arnumber=9769697

Reference31 articles.

1. PySwarms: a research toolkit for Particle Swarm Optimization in Python

2. A modified particle swarm optimizer

3. Fuel-Efficient En Route Formation of Truck Platoons

4. A Switched Control Strategy of Heterogeneous Vehicle Platoon for Multiple Objectives With State Constraints

5. Fuel-Efficient En Route Speed Planning and Tracking Control of Truck Platoons

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