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Probability Distribution of Connected and Autonomous Vehicle Platoon Size in a Mixed Traffic Environment
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach
inferredcites →https://doi.org/10.1016/j.apm.2023.09.001openalex-extracted
Impact of the heterogeneity and platoon size of connected vehicles on the capacity of mixed traffic flow
inferredcites →https://doi.org/10.1016/j.energy.2019.116120openalex-extracted
Predictive energy-saving optimization based on nonlinear model predictive control for cooperative connected vehicles platoon with V2V communication
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Modeling connected and autonomous vehicles in heterogeneous traffic flow
inferredcites →https://doi.org/10.1016/j.physa.2021.126193openalex-extracted
Impact of CAV platoon management on traffic flow considering degradation of control mode
inferredcites →https://doi.org/10.1016/j.physa.2021.126294openalex-extracted
Stability of heterogeneous traffic considering impacts of platoon management with multiple time delays
inferredcites →https://doi.org/10.1016/j.physa.2021.126301openalex-extracted
Analysis of road capacity and pollutant emissions: Impacts of Connected and automated vehicle platoons on traffic flow
inferredcites →https://doi.org/10.1016/j.physa.2022.126989openalex-extracted
Influence of CAVs platooning on intersection capacity under mixed traffic
inferredcites →https://doi.org/10.1016/j.physa.2022.127857openalex-extracted
Fundamental diagram and stability of mixed traffic flow considering platoon size and intensity of connected automated vehicles
inferredcites →https://doi.org/10.1016/j.physa.2022.128181openalex-extracted
Exploring the Impact of Damping on Connected and Autonomous Vehicle Platoon Safety with Cacc
inferredcites →https://doi.org/10.1016/j.physa.2023.128452openalex-extracted
Traffic safety evaluation of mixed traffic flow considering the maximum platoon size of connected automated vehicles
inferredcites →https://doi.org/10.1016/j.physa.2023.128894openalex-extracted
Freeway capacity modeling and analysis for traffic mixed with human-driven and connected automated vehicles considering driver behavior characteristics
inferredcites →https://doi.org/10.1016/j.trb.2010.07.006openalex-extracted
Hysteresis in traffic flow revisited: An improved measurement method
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A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method
inferredcites →https://doi.org/10.1016/j.trb.2018.07.005openalex-extracted
Cooperative platoon control for a mixed traffic flow including human drive vehicles and connected and autonomous vehicles
inferredcites →https://doi.org/10.1016/j.trb.2021.03.010openalex-extracted
Capacity of a freeway lane with platoons of autonomous vehicles mixed with regular traffic
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Constructing a fundamental diagram for traffic flow with automated vehicles: Methodology and demonstration
inferredcites →https://doi.org/10.1016/j.trb.2023.04.006openalex-extracted
Markov chain-based traffic analysis on platooning effect among mixed semi- and fully-autonomous vehicles in a freeway lane
inferredcites →https://doi.org/10.1016/j.trb.2023.102785openalex-extracted
On the Relationship between Traffic Hysteresis and String Stability of Vehicle Platoons
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A stochastic dynamic network loading model for mixed traffic with autonomous and human-driven vehicles
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Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data
inferredcites →https://doi.org/10.1016/j.trc.2019.05.005openalex-extracted
A mixed traffic speed harmonization model with connected autonomous vehicles
inferredcites →https://doi.org/10.1016/j.trc.2019.12.009openalex-extracted
Traffic automation and lane management for communicant, autonomous, and human-driven vehicles
inferredcites →https://doi.org/10.1016/j.trc.2020.102611openalex-extracted
Influence of CAV clustering strategies on mixed traffic flow characteristics: An analysis of vehicle trajectory data
inferredcites →https://doi.org/10.1016/j.trc.2020.102614openalex-extracted
Modeling the fundamental diagram of mixed human-driven and connected automated vehicles
inferredcites →https://doi.org/10.1016/j.trc.2020.102652openalex-extracted
Energy-aware trajectory optimization of CAV platoons through a signalized intersection
inferredcites →https://doi.org/10.1016/j.trc.2020.102874openalex-extracted
A generic simulation platform for cooperative adaptive cruise control under partially connected and automated environment
inferredcites →https://doi.org/10.1016/j.trc.2020.102882openalex-extracted
Analytical analysis of the effect of maximum platoon size of connected and automated vehicles
inferredcites →https://doi.org/10.1016/j.trc.2021.103006openalex-extracted
Event triggered rolling horizon based systematical trajectory planning for merging platoons at mainline-ramp intersection
inferredcites →https://doi.org/10.1016/j.trc.2021.103442openalex-extracted
Flow-aware platoon formation of Connected Automated Vehicles in a mixed traffic with human-driven vehicles
inferredcites →https://doi.org/10.1016/j.trc.2022.103911openalex-extracted
A macroscopic dynamic network loading model using variational theory in a connected and autonomous vehicle environment
inferredcites →https://doi.org/10.1016/j.trc.2022.103927openalex-extracted
String Stability of Automated Vehicles Based on Experimental Analysis of Feedback Delay and Parasitic Lag
inferredcites →https://doi.org/10.1016/j.trc.2022.103933openalex-extracted
COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning
inferredcites →https://doi.org/10.1016/j.trc.2022.103989openalex-extracted
Analysis of the impact of maximum platoon size of CAVs on mixed traffic flow: An analytical and simulation method
inferredcites →https://doi.org/10.1016/j.trc.2023.104083openalex-extracted
A platoon-based cooperative optimal control for connected autonomous vehicles at highway on-ramps under heavy traffic
inferredcites →https://doi.org/10.1016/j.trc.2023.104265openalex-extracted
On the assessment of the dynamic platoon and information flow topology on mixed traffic flow under connected environment
inferredcites →https://doi.org/10.1016/j.tre.2022.102650openalex-extracted
Random capacity for a single lane with mixed autonomous and human-driven vehicles: Bounds, mean gaps and probability distributions
inferredcites →https://doi.org/10.1049/iet-its.2019.0707openalex-extracted
Cooperative bypassing algorithm for connected and autonomous vehicles in mixed traffic
inferredcites →https://doi.org/10.1080/19427867.2023.2252220openalex-extracted
Determination of the optimal connected and automated vehicles platoon size based on the merging success rate
inferredcites →https://doi.org/10.1109/eit48999.2020.9208301openalex-extracted
Impact of the Entry Time Model on Connected and Automated Vehicle (CAV) Platoon Formation
inferredcites →https://doi.org/10.1109/itsc.2019.8916938openalex-extracted
The Penetration Rate Effect of Connected and Automated Vehicles in Mixed Traffic Routing
inferredcites →https://doi.org/10.1109/itsc48978.2021.9564937openalex-extracted
A Cooperative Crash Avoidance Framework for Autonomous Vehicle under Collision-Imminent Situations in Mixed Traffic Stream
inferredcites →https://doi.org/10.1109/iv48863.2021.9575687openalex-extracted
Evaluation of Macroscopic Fundamental Diagram Transition in the Era of Connected and Autonomous Vehicles
inferredcites →https://doi.org/10.1109/tits.2014.2326331openalex-extracted
Information Dissemination Delay in Vehicle-to-Vehicle Communication Networks in a Traffic Stream
inferredcites →https://doi.org/10.1109/tits.2017.2760805openalex-extracted
Cooperative Adaptive Cruise Control for String Stable Mixed Traffic: Benchmark and Human-Centered Design
inferredcites →https://doi.org/10.1109/tits.2018.2859765openalex-extracted
Benefits of V2V Communication for Autonomous and Connected Vehicles
inferredcites →https://doi.org/10.1109/tits.2020.3026877openalex-extracted
V2V-Based Cooperative Control of Uncertain, Disturbed and Constrained Nonlinear CAVs Platoon
inferredcites →https://doi.org/10.1109/tits.2021.3096878openalex-extracted
Distributed Maneuver Planning With Connected and Automated Vehicles for Boosting Traffic Efficiency
inferredcites →https://doi.org/10.1109/tvt.2020.3037239openalex-extracted
A Joint Design of Platoon Communication and Control Based on LTE-V2V
inferredcites →https://doi.org/10.1111/mice.12540openalex-extracted
Modeling and field experiments on autonomous vehicle lane changing with surrounding human‐driven vehicles
inferredcites →https://doi.org/10.1111/mice.12702openalex-extracted
Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles
inferredcites →https://doi.org/10.1111/mice.12956openalex-extracted
Modeling adaptive platoon and reservation‐based intersection control for connected and autonomous vehicles employing deep reinforcement learning
inferredcites →https://doi.org/10.1155/2023/2761858openalex-extracted
Modeling the Effect of the Platoon Size of CAVs on Mixed Traffic Flow: A Cellular Automaton Method
inferredcites →https://doi.org/10.1177/03611981221140365openalex-extracted
Impact of Platoon Management on Heterogeneous Traffic under V2X Communication Limitation
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Collaborative Autonomous Driving—A Survey of Solution Approaches and Future Challenges
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