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Cooperative Adaptive Cruise Control in Real Traffic Situations

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Adaptive Cruise Control Design for Active Congestion Avoidance

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Automated and Cooperative Vehicle Merging at Highway On-Ramps

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50th Anniversary Invited Article—Autonomous Vehicles and Connected Vehicle Systems: Flow and Operations Considerations

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The spatial variability of vehicle densities as determinant of urban network capacity

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Car-following models: fifty years of linear stability analysis – a mathematical perspective

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

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On the stability of traffic perimeter control in two-region urban cities

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Unravelling effects of cooperative adaptive cruise control deactivation on traffic flow characteristics at merging bottlenecks

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Realistic Car-Following Models for Microscopic Simulation of Adaptive and Cooperative Adaptive Cruise Control Vehicles

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Urban network gridlock: Theory, characteristics, and dynamics

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Heterogeneous Traffic Mixing Regular and Connected Vehicles: Modeling and Stabilization

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The impact of autonomous vehicles on urban traffic network capacity: an experimental analysis by microscopic traffic simulation

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On the impacts of locally adaptive signal control on urban network stability and the Macroscopic Fundamental Diagram

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Cooperative Lane Changing Strategies to Improve Traffic Operation and Safety Nearby Freeway Off-Ramps in a Connected and Automated Vehicles Environment

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Modeling the fundamental diagram of mixed human-driven and connected automated vehicles

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Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge

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INVESTIGATION OF NETWORK-LEVEL TRAFFIC FLOW RELATIONSHIPS: SOME SIMULATION RESULTS

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The Effect of Autonomous Vehicles on Traffic

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Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic

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Exploring Properties of Networkwide Flow–Density Relations in a Freeway Network

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Hierarchical ramp metering in freeways: An aggregated modeling and control approach

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Estimating Network Fundamental Diagram Using Three-Dimensional Vehicle Trajectories

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Relaxation Phenomenon after Lane Changing

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Merging and Diverging Impact on Mixed Traffic of Regular and Autonomous Vehicles

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Network capacity, traffic instability, and adaptive driving: findings from simulated urban network experiments

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A kinematic wave theory of capacity drop

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Effects of Turning Maneuvers and Route Choice on a Simple Network

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Joint routing and pricing control in congested mixed autonomy networks

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Optimal traffic control at smart intersections: Automated network fundamental diagram

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Efficient intersection control for minimally guided vehicles: A self-organised and decentralised approach

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SUMO’s Road Intersection Model

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Differential Congestion Pricing Strategies for Heterogeneous Users in the Mixed Traffic Condition

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Car-Following Models for Human-Driven Vehicles and Autonomous Vehicles: A Systematic Review

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An Integrated Traffic and Vehicle Co-Simulation Testing Framework for Connected and Autonomous Vehicles

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TERL: Two-Stage Ensemble Reinforcement Learning Paradigm for Large-Scale Decentralized Decision Making in Transportation Simulation

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Urban mobility foundation model: A literature review and hierarchical perspective

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A novel hierarchical perimeter control method for road networks considering boundary congestion in a mixed CAV and HV traffic environment

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A parallel computing framework for large-scale microscopic traffic simulation based on spectral partitioning

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Analysis of mixed traffic flow with different lane management strategy for connected automated vehicles: A fundamental diagram method

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Experimental assessment of communication delay's impact on connected automated vehicle speed volatility and energy consumption

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DeepAD: An integrated decision-making framework for intelligent autonomous driving

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Evaluation of Autonomous Driving Safety by Operational Design Domains (ODD) in Mixed Traffic

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Longitudinal car-following control strategy integrating predictive collision risk

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A hybrid physics-based and data-driven approach for car-following behavior modeling and analysis

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A data-driven framework for natural feature profile of public transport ridership: Insights from Suzhou and Lianyungang, China

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Connected automated vehicles orchestrating human-driven vehicles: Optimizing traffic speed and density in urban networks

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A scalable macro–micro approach for cooperative platoon merging in mixed traffic flows

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Life-cycle carbon emissions of autonomous electric vehicles in varying traffic situations

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Energy and Environmental Implications of Automated Vehicles Under Mixed Autonomy Traffic Environment

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Optimal traffic operation for maximum energy efficiency in signal-free urban networks: A macroscopic analytical approach

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Evaluating Stability and Performance in Mixed Traffic: A Theoretical and Co-Simulation Approach

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Traffic dynamics modeling with an extended S3 car-following model

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An Adaptive Route Guidance Model Considering the Effect of Traffic Signals Based on Deep Reinforcement Learning

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Day-to-Day Traffic Flow Dynamics With Mixed Autonomy Considering Link-Level Penetration Rate Evolution of Autonomous Vehicles

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Physics of automated-driving vehicular traffic

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Geometry-aware car-following model construction: Theoretical modeling and empirical analysis on horizontal curves

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Impact of Connected and Automated Vehicles on Longitudinal and Lateral Performance of Heterogeneous Traffic Flow in Shared Autonomy on Two-Lane Highways

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The effects of communication topology on mixed traffic flow: modelling and analysis

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Analysis of stability and cooperation in traffic flow with connected automated vehicles under perceptual uncertainty

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Using System Dynamics Approach to Explore the Mode Shift between Automated Vehicles, Conventional Vehicles, and Public Transport in Melbourne, Australia

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Advancing traffic microsimulation: a systematic review of parameter selection for connected and autonomous vehicles

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A methodology of cooperative driving based on microscopic traffic prediction

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City pulse aware graph neural network for joint volume and speed estimation in urban traffic

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Real-Time Bottleneck Identification and Graded Variable Speed Limit Control Framework for Mixed Traffic Flow on Highways Based on Deep Reinforcement Learning

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A Recommender for Personalized Travel Planning Using Stacked Autoencoder in a Multimodal Transportation Network

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