Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles

Author:

Shi Haotian,Zhou YangORCID,Wu Keshu,Chen SikaiORCID,Ran Bin,Nie Qinghui

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference80 articles.

1. Recent advances in connected and automated vehicles;Elliott;J. Traffic Transp. Eng. (Engl. Ed.),2019

2. A review on energy, environmental, and sustainability implications of connected and automated vehicles;Taiebat;Environ. Sci. Technol.,2018

3. Influence of connected and autonomous vehicles on traffic flow stability and throughput;Talebpour;Transp. Res. C,2016

4. Deep reinforcement learning-based vehicle driving strategy to reduce crash risks in traffic oscillations;Li,2020

5. Vehicles platooning in urban environment: Consensus-based longitudinal control with limited communications capabilities;Khalifa,2018

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