A Review of Communication, Driver Characteristics, and Controls Aspects of Cooperative Adaptive Cruise Control (CACC)

By Kakan C. Dey, Li Yan, Xujie Wang, Yue Wang, Haiying Shen, M. Chowdhury, Lei Yu, Chenxi Qiu, Vivekgautham Soundararaj. IEEE transactions on intelligent transportation systems (Print), 2016

492 citations recorded by the source corpus.

Subfields: Building and Construction, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a0cc1e952809c0e29a29990d89d07abc9f9efd32

How researchers see this paper

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

In Control and Systems Engineering

1. Chuanyang Sun
2. Azim Eskandarian
3. Chaoxian Wu

In Electrical and Electronic Engineering

1. Chuanyang Sun
2. Azim Eskandarian
3. Chaoxian Wu

Citations in the corpus

• Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019, methodology): “Machine learning techniques can be utilized to learn the driver’s preference and adjust the control setting of CACC, which makes CACC more acceptable to human drivers [514].”