Adaptive Cruise Control Utilizing Noisy Multi-Leader Measurements: A Learning-Based Approach-Reference-Cited by-同舟云学术

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Adaptive Cruise Control Utilizing Noisy Multi-Leader Measurements: A Learning-Based Approach

Published:2024 Issue: Volume:5 Page:251-264
ISSN:2687-7813
Container-title:IEEE Open Journal of Intelligent Transportation Systems
language:
Short-container-title:IEEE Open J. Intell. Transp. Syst.

Author:

Ni Ying-Chuan¹^ORCID,Knoop Victor L.²^ORCID,Kooij Julian F. P.³^ORCID,van Arem Bart²^ORCID

Affiliation:

1. Traffic Engineering Group, Institute for Transport Planning and Systems, ETH Zürich, Zürich, Switzerland

2. Department of Transport and Planning, Delft University of Technology, Delft, The Netherlands

3. Department of Cognitive Robotics, Intelligent Vehicles Group, Delft University of Technology, Delft, The Netherlands

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8784355/10382186/10510416.pdf?arnumber=10510416

Reference55 articles.

1. Will Automated Vehicles Negatively Impact Traffic Flow?

2. Towards an understanding of adaptive cruise control

3. A comprehensive review of the development of adaptive cruise control systems

4. Modeling Effects of Driver Control Assistance Systems on Traffic

5. Adaptive Cruise Control Operation for Improved Motorway Traffic Flow

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