Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment

Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data

(2020) Jingliang Duan et al.   IET Intelligent Transport Systems

Deep Reinforcement Learning-Based Vehicle Driving Strategy to Reduce Crash Risks in Traffic Oscillations

(2020) Meng Li et al.   TRANSPORTATION RESEARCH RECORD

Stabilizing mixed vehicular platoons with connected automated vehicles: An H-infinity approach

(2019) Yang Zhou et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Distributed model predictive control approach for cooperative car-following with guaranteed local and string stability

(2019) Yang Zhou et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach

(2019) Xiaobo Qu et al.   APPLIED ENERGY

Development of an Efficient Driving Strategy for Connected and Automated Vehicles at Signalized Intersections: A Reinforcement Learning Approach

(2019) Mofan Zhou et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Adaptive multi-agents synchronization for collaborative driving of autonomous vehicles with multiple communication delays

(2018) Alberto Petrillo et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Infrastructure assisted adaptive driving to stabilise heterogeneous vehicle strings

(2018) Meng Wang   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study

(2018) Meixin Zhu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments

(2018) Raphael E. Stern et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Cooperative platoon control for a mixed traffic flow including human drive vehicles and connected and autonomous vehicles

(2018) Siyuan Gong et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Parsimonious trajectory design of connected automated traffic

(2018) Li Li et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Human-like autonomous car-following model with deep reinforcement learning

(2018) Meixin Zhu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Distributed Platoon Control Under Topologies With Complex Eigenvalues: Stability Analysis and Controller Synthesis

(2017) Shengbo Eben Li et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Parsimonious shooting heuristic for trajectory design of connected automated traffic part II: Computational issues and optimization

(2017) Jiaqi Ma et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Rolling horizon stochastic optimal control strategy for ACC and CACC under uncertainty

(2017) Yang Zhou et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Cooperative Car-Following Control: Distributed Algorithm and Impact on Moving Jam Features

(2016) Meng Wang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies

(2016) Yang Zheng et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Constrained optimization and distributed computation based car following control of a connected and autonomous vehicle platoon

(2016) Siyuan Gong et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Trajectory data reconstruction and simulation-based validation against macroscopic traffic patterns

(2015) Marcello Montanino et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Cooperative Adaptive Cruise Control

(2015) Steven E. Shladover et al.   TRANSPORTATION RESEARCH RECORD

Passivity-based control for multi-vehicle systems subject to string constraints

(2014) Steffi Knorn et al.   AUTOMATICA

Lp String Stability of Cascaded Systems: Application to Vehicle Platooning

(2014) Jeroen Ploeg et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data

(2014) Vicente Milanés et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Rolling horizon control framework for driver assistance systems. Part I: Mathematical formulation and non-cooperative systems

(2014) Meng Wang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A behavioral car-following model that captures traffic oscillations

(2012) Danjue Chen et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

A rule-based neural network approach to model driver naturalistic behavior in traffic

(2012) Linsen Chong et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data

(2011) Vincenzo Punzo et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Design and implementation of parameterized adaptive cruise control: An explicit model predictive control approach

(2010) G.J.L. Naus et al.   CONTROL ENGINEERING PRACTICE

String-Stable CACC Design and Experimental Validation: A Frequency-Domain Approach

(2010) Gerrit J L Naus et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A mechanism to describe the formation and propagation of stop-and-go waves in congested freeway traffic

(2010) J. A. Laval et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Calibrating Car-Following Models by Using Trajectory Data

(2009) Arne Kesting et al.   TRANSPORTATION RESEARCH RECORD