Distributed Consensus Strategy for Platooning of Vehicles in the Presence of Time-Varying Heterogeneous Communication Delays

By Mario di Bernardo, Alessandro Salvi, Stefania Santini. IEEE transactions on intelligent transportation systems (Print), 2015

465 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/e058a1cf36df18c2e3fbe82224b6fc2c0d9df6ba

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. J. Karl Hedrick
2. Yang Zheng
3. Keqiang Li
4. Shengbo Eben Li
5. Haiying Shen

In Control and Systems Engineering

1. Shengbo Eben Li
2. Keqiang Li
3. Yang Zheng
4. J. Karl Hedrick

Citations in the corpus

• A Survey on Platoon-Based Vehicular Cyber-Physical Systems (2016, unknown): “In [94], Bernardo et al.”
• Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities (2017, background): “analyzed vehicle platoons from the viewpoint of consensus control of a dynamic network [11].”
• Energy saving potentials of connected and automated vehicles (2018, unknown): “[104] or by formation consensus rules [152].”
• A Review of Communication, Driver Characteristics, and Controls Aspects of Cooperative Adaptive Cruise Control (CACC) (2016, background): “…three major CACC system design related technical issues, there are other issues, such as legal aspects of any crashes due to the failure of the system, users’ privacy and security, technology certification, user training, that are out of scope of this paper and could be explored in another paper.”