Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic | Paper Citation Record

Observation 7d674164-3fc4-4573-b3c3-84f5ba9b57ef · outbound

This paper cites Performance measurement evaluation framework and co-benefittradeoff analysis for connected and automated vehicles (cav) applications: A survey,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Performance measurement evaluation framework and co-benefittradeoff analysis for connected and automated vehicles (cav) applications: A survey,

Reference 1

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Observation bdef35be-5ae7-4adc-9f28-6427a97d86b5 · outbound

This paper cites A review of communication, driver characteristics, and controls aspects of cooperative adaptive cruise con- trol (cacc),.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic A review of communication, driver characteristics, and controls aspects of cooperative adaptive cruise con- trol (cacc),

Reference 2

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Observation 3adc9bd9-b93f-4220-a296-e4cba0ebb3ad · outbound

This paper cites Aerodynamic drag analysis of autonomous electric vehicle platoons,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Aerodynamic drag analysis of autonomous electric vehicle platoons,

Reference 3

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Observation dcf1b7d0-0ab5-45e7-b15b-5f2628ea988a · outbound

This paper cites Cooperative connected autonomous vehicles (cav): Research, applications and challenges,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Cooperative connected autonomous vehicles (cav): Research, applications and challenges,

Reference 4

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Observation 50f24813-e3c6-4936-ad3f-5f699560b692 · outbound

This paper cites Unravelling effects of cooperative adaptive cruise control deactivation on traffic flow characteristics at merging bottlenecks,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Unravelling effects of cooperative adaptive cruise control deactivation on traffic flow characteristics at merging bottlenecks,

Reference 5

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Observation e34d801e-485d-4cb6-8088-a6694579eced · outbound

This paper cites Modeling impacts of cooperative adaptive cruise control on mixed traffic flow in multi-lane freeway facilities,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Modeling impacts of cooperative adaptive cruise control on mixed traffic flow in multi-lane freeway facilities,

Reference 6

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Observation f9c0e98b-e507-405d-94a6-2a8f14ce396a · outbound

This paper cites Influence of exclusive lanes for connected and autonomous vehicles on freeway traffic flow,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Influence of exclusive lanes for connected and autonomous vehicles on freeway traffic flow,

Reference 7

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Observation abd117a3-0a39-4ec6-b576-02a147399d15 · outbound

This paper cites Flow-aware platoon formation of connected automated vehicles in a mixed traffic with human-driven vehicles,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Flow-aware platoon formation of connected automated vehicles in a mixed traffic with human-driven vehicles,

Reference 8

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Observation 0befb14e-62ac-4d94-aec7-48cade8deb2d · outbound

This paper cites Impact of cav platoon management on traffic flow considering degradation of control mode,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Impact of cav platoon management on traffic flow considering degradation of control mode,

Reference 9

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Observation d5677151-a56a-4076-a6ed-866fa8304fd9 · outbound

This paper cites Design and operation of dedicated lanes for connected and automated vehicles on motorways: A conceptual framework and research agenda,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Design and operation of dedicated lanes for connected and automated vehicles on motorways: A conceptual framework and research agenda,

Reference 10

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Observation 87995f97-82bb-4b46-bfac-0d0b6e6451e8 · outbound

This paper cites Leveraging dynamic right-of- way allocation and tolling policy for cav dedicated lane management to promote cav and improve mobility,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Leveraging dynamic right-of- way allocation and tolling policy for cav dedicated lane management to promote cav and improve mobility,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T10:04:39.760425Z

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Observation 15ed6edd-0901-4b9c-8f7f-b598fdf4b51d · outbound

This paper cites Optimal lane management policy for connected automated vehicles in mixed traffic flow,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Optimal lane management policy for connected automated vehicles in mixed traffic flow,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T10:04:39.927327Z

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Observation f493612d-84ad-4be0-b3a8-0de17c83ff21 · outbound

This paper cites Lane-changing in traffic streams,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Lane-changing in traffic streams,

Reference 13

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Observation a1990b7d-04f5-4bf8-ba5c-ab4265fb4ca8 · outbound

This paper cites Capacity-drop at extended bottlenecks: Merge, diverge, and weave,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Capacity-drop at extended bottlenecks: Merge, diverge, and weave,

Reference 14

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Observation 1e9a93f6-9aa6-4b47-9bed-f677f4ec02d7 · outbound

This paper cites Freeway vehicle fuel efficiency improvement via cooperative adaptive cruise control,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Freeway vehicle fuel efficiency improvement via cooperative adaptive cruise control,

Reference 15

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Observation 202a185b-d5df-41cc-8635-fe0775570bc3 · outbound

This paper cites Heavy-duty vehicle platoon formation for fuel efficiency,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Heavy-duty vehicle platoon formation for fuel efficiency,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T10:04:40.339572Z

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Observation 2094c745-6c37-4828-9d26-7a206b104ce8 · outbound

This paper cites Planning of truck platoons: A literature review and directions for future research,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Planning of truck platoons: A literature review and directions for future research,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T10:04:40.598155Z

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Observation eff6ee71-056c-41ea-8297-32663c4c2613 · outbound

This paper cites Decentralized coordination for truck platooning,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Decentralized coordination for truck platooning,

Reference 18

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Observation d3e034f9-5134-43a0-a6eb-adba1d9505f0 · outbound

This paper cites Where to decide? centralized vs. dis- tributed vehicle assignment for platoon formation,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Where to decide? centralized vs. dis- tributed vehicle assignment for platoon formation,

Reference 19

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Observation 96310598-2553-4e41-b7c9-e05367f492ab · outbound

This paper cites Review of Lane-Changing Maneuvers of Connected and Automated Vehicles: Models, Algorithms and Traffic Impact Analyses,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Review of Lane-Changing Maneuvers of Connected and Automated Vehicles: Models, Algorithms and Traffic Impact Analyses,

Reference 20

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Observation dcfd64c4-4e93-45cf-bbda-b912e17b7e7b · outbound

This paper cites Analysis of lane-change crashes and near-crashes,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Analysis of lane-change crashes and near-crashes,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T10:04:41.294933Z

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Observation 0e52166c-2428-4799-a93a-a945893babec · outbound

This paper cites Studies of vehicle lane-changing dynamics and its effect on traffic efficiency, safety and environmental impact,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Studies of vehicle lane-changing dynamics and its effect on traffic efficiency, safety and environmental impact,

Reference 22

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Observation c6bf05f0-a507-4101-96e5-d3a2e07e76e5 · outbound

This paper cites A model for the structure of lane-changing decisions,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic A model for the structure of lane-changing decisions,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T10:04:41.564196Z

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Observation 0cbddcfc-8dee-46c7-8325-005b1b7c3960 · outbound

This paper cites Estimation of traffic densities for multilane roadways using a markov model approach,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Estimation of traffic densities for multilane roadways using a markov model approach,

Reference 25

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Observation a6d73a75-0de2-4163-8169-f1641e0f2c12 · outbound

This paper cites Pay to change lanes: A cooperative lane-changing strategy for connected/automated driving,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Pay to change lanes: A cooperative lane-changing strategy for connected/automated driving,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T10:04:42.111902Z

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Observation b60a86dd-e6cb-4905-b5b4-9356f3c9627e · outbound

This paper cites Review of deep learning: concepts, CNN architectures, challenges, applications, future directions,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Review of deep learning: concepts, CNN architectures, challenges, applications, future directions,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T10:04:42.305177Z

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Observation fc2ad2e4-4143-40ad-ab73-26cb29bccc74 · outbound

This paper cites Human-level control through deep reinforcement learning,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Human-level control through deep reinforcement learning,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T10:04:42.398839Z

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Observation 55a36d00-205b-4dd1-9090-4aed1db270e5 · outbound

This paper cites Mastering the game of go without human knowledge,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Mastering the game of go without human knowledge,

Reference 29

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Observation c278cb97-5e22-497d-89f4-23db7ec1a477 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T10:04:42.730729Z

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Observation 1826a259-7c8b-49c4-a1a3-2df284b42d25 · outbound

This paper cites Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

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Observation 92fb694f-5c84-43cf-a23a-0ae29b7f87d0 · outbound

This paper cites Deep reinforcement learning framework for autonomous driving,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Deep reinforcement learning framework for autonomous driving,

Reference 32

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Observation b1e66c7f-d5f9-4d24-8e54-7df28b115d33 · outbound

This paper cites Lane change decision- making through deep reinforcement learning with rule-based con- straints,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Lane change decision- making through deep reinforcement learning with rule-based con- straints,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T10:04:43.230174Z

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Observation 54cc2cae-6ee7-4158-a943-e183197d7ae8 · outbound

This paper cites An intelli- gent lane-changing behavior prediction and decision-making strategy for an autonomous vehicle,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic An intelli- gent lane-changing behavior prediction and decision-making strategy for an autonomous vehicle,

Reference 34

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Observation 2c2c9c82-6c57-4ccc-b8a9-76474e50029e · outbound

This paper cites Multi-agent drl-based lane change with right-of-way collaboration awareness,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Multi-agent drl-based lane change with right-of-way collaboration awareness,

Reference 35

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This paper cites Driving decision and control for automated lane change behavior based on deep reinforcement learning,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Driving decision and control for automated lane change behavior based on deep reinforcement learning,

Reference 36

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This paper cites An integrated model for autonomous speed and lane change decision-making based on deep re- inforcement learning,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic An integrated model for autonomous speed and lane change decision-making based on deep re- inforcement learning,

Reference 37

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This paper cites Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness,

Reference 38

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Observation ebe0b45e-2b76-4cd0-ad0f-4da3cd4b4a9c · outbound

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Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Attention-based hierarchical deep reinforcement learning for lane change behaviors in autonomous driving,

Reference 39

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This paper cites Highway lane change decision- making via attention-based deep reinforcement learning,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Highway lane change decision- making via attention-based deep reinforcement learning,

Reference 40

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Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Multi-reward architecture based reinforcement learning for highway driving policies,

Reference 41

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Observation 399fd5c7-f2b9-46cb-b2b8-2be3f1391ca3 · outbound

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Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Harmonious lane changing via deep reinforcement learning,

Reference 42

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Observation c36ea061-bf57-4011-bf7b-adf330ded5fe · outbound

This paper cites High-level decision making for safe and reasonable autonomous lane changing using reinforcement learning,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic High-level decision making for safe and reasonable autonomous lane changing using reinforcement learning,

Reference 43

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This paper cites A reinforcement learning approach to autonomous decision making of intelligent vehicles on highways,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic A reinforcement learning approach to autonomous decision making of intelligent vehicles on highways,

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This paper cites A real-world reinforcement learning framework for safe and human-like tactical decision-making,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic A real-world reinforcement learning framework for safe and human-like tactical decision-making,

Reference 45

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Observation ba3cc2bc-511e-4a98-a3a6-eda8b93c5952 · outbound

This paper cites Modeling coupled driving behavior during lane change: A multi-agent transformer reinforcement learning approach,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Modeling coupled driving behavior during lane change: A multi-agent transformer reinforcement learning approach,

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This paper cites Coordination for con- nected and automated vehicles at non-signalized intersections: A value decomposition-based multiagent deep reinforcement learning approach,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Coordination for con- nected and automated vehicles at non-signalized intersections: A value decomposition-based multiagent deep reinforcement learning approach,

Reference 47

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This paper cites Multi- agent actor-critic for mixed cooperative-competitive environments,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Multi- agent actor-critic for mixed cooperative-competitive environments,

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This paper cites Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network,

Reference 49

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Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Kinematic and dynamic vehicle models for autonomous driving control design,

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Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic General lane-changing model mobil for car-following models,

Reference 51

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Observation 6f403fec-d6fa-4365-9d08-b173856d85c2 · outbound

This paper cites Congested traffic states in empirical observations and microscopic simulations,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Congested traffic states in empirical observations and microscopic simulations,

Reference 52

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This paper cites String-stable cacc design and experimental validation, a frequency- domain approach,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic String-stable cacc design and experimental validation, a frequency- domain approach,

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Observation e58d9e4d-47f9-41b6-a2ff-9eba528905f7 · outbound

This paper cites Impacts of commercially available adaptive cruise control vehicles on highway stability and throughput,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Impacts of commercially available adaptive cruise control vehicles on highway stability and throughput,

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This paper cites Calibration and evaluation of car following models using real-world driving data,.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Calibration and evaluation of car following models using real-world driving data,

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Observation 8b4c9fb9-86a5-4708-8b81-74db61bec164 · outbound

This paper cites Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments.

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

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