How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept | Paper Citation Record

Observation 8d724fd6-ae90-4133-bd38-3a19ea42ee52 · outbound

This paper cites (2025) Road traffic injuries.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept (2025) Road traffic injuries

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:43.504736Z

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Observation 2fc22f88-a604-4338-9df7-5578aee0c252 · outbound

This paper cites Efficient and energy-saving cooperative motion planning for multiple connected and autonomous vehicles at unsignalized intersections,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Efficient and energy-saving cooperative motion planning for multiple connected and autonomous vehicles at unsignalized intersections,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:43.184743Z

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Observation f252a74b-e9e3-4cbb-80c5-9b3058a41ed9 · outbound

This paper cites The Impact of Building-Induced Visibility Restrictions on Intersection Accidents.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept The Impact of Building-Induced Visibility Restrictions on Intersection Accidents

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:43:38.114835Z

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Observation fee6773d-c73a-4adc-9633-7d8bdcfa2a6d · outbound

This paper cites an unresolved cited work.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Unresolved cited work

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-11T22:43:37.995736Z

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Observation 0d265a86-4db9-4ab3-b80f-8f9e3593d43e · outbound

This paper cites Digital twin-based cooperative autonomous driving in smart intersections: A multi-agent reinforcement learning approach,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Digital twin-based cooperative autonomous driving in smart intersections: A multi-agent reinforcement learning approach,

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-11T22:43:37.689486Z

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Observation 70789e58-fc33-4825-89a4-1c8fb1f3c30c · outbound

This paper cites Augmented intelligence in smart inter- sections: Local digital twins-assisted hybrid autonomous driving,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Augmented intelligence in smart inter- sections: Local digital twins-assisted hybrid autonomous driving,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:43.037799Z

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Observation 8895ef82-ad55-4e40-8472-055f60e5b56c · outbound

This paper cites Study of the thrust response characteristics of hall micro thruster,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Study of the thrust response characteristics of hall micro thruster,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:42.924745Z

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Observation 49741bf5-429e-47d9-a09c-a05fc3fe3203 · outbound

This paper cites Exploring shared perception and control in cooperative vehicle-intersection systems: A re- view,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Exploring shared perception and control in cooperative vehicle-intersection systems: A re- view,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:42.865785Z

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Observation cec93074-f6b4-4162-a3de-f0efb2047626 · outbound

This paper cites Reinforcement learning-based edge server placement in the intelligent internet of vehicles environment,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Reinforcement learning-based edge server placement in the intelligent internet of vehicles environment,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:42.828342Z

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Observation 9654a15a-614d-4be7-8f15-841e7077bc84 · outbound

This paper cites Smart mobility digital twin based automated vehicle navigation system: A proof of concept,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Smart mobility digital twin based automated vehicle navigation system: A proof of concept,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T22:43:32.479112Z

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Observation 25f5a3a4-e867-4f7d-909e-d15039f78a12 · outbound

This paper cites An aiot-enabled digital twin cavs with a drl-based framework for trajectory planning,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept An aiot-enabled digital twin cavs with a drl-based framework for trajectory planning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:42.554831Z

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Observation f7dd3b83-1fd7-4db7-a065-60ba0ca6a13a · outbound

This paper cites Optimizing computational efficiency in autonomous vehicles: Integrative edge and cloud computing strategies in vehicular networks,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Optimizing computational efficiency in autonomous vehicles: Integrative edge and cloud computing strategies in vehicular networks,

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T22:43:37.563475Z

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Observation 1aa8081b-2b19-497a-bc0c-a6086484d944 · outbound

This paper cites Non-cooperative and cooperative driving strategies at unsignalized intersections: A robust differential game approach,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Non-cooperative and cooperative driving strategies at unsignalized intersections: A robust differential game approach,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:42.423581Z

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Observation db3b6b22-dfcd-4b5c-acdf-5f9f582c2925 · outbound

This paper cites Cooperative Driving of Connected Autonomous Vehicles in Heterogeneous Mixed Traffic: A Game Theoretic Approach.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Cooperative Driving of Connected Autonomous Vehicles in Heterogeneous Mixed Traffic: A Game Theoretic Approach

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:43:37.321032Z

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Observation 42001df3-8337-4eeb-a9f6-9cf48cc68a13 · outbound

This paper cites A virtual spring strategy for cooperative control of connected and automated vehicles at signal-free intersections,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept A virtual spring strategy for cooperative control of connected and automated vehicles at signal-free intersections,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:42.303298Z

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Observation debbcc69-0650-490f-83fa-0441e7d2fc9b · outbound

This paper cites Driving behavior model for multi-vehicle interaction at uncontrolled intersections based on risk field considering drivers’ visual field characteristics,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Driving behavior model for multi-vehicle interaction at uncontrolled intersections based on risk field considering drivers’ visual field characteristics,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:42.168259Z

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Observation b3da51d1-8f1b-470a-ad89-9af33b5de3b2 · outbound

This paper cites Collaborative decision making with hybrid deep reinforcement learning for connected and autonomous vehicles in mixed traffic,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Collaborative decision making with hybrid deep reinforcement learning for connected and autonomous vehicles in mixed traffic,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:41.929670Z

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Observation 8d802af1-3987-4737-9cb7-207e5ecf15e6 · outbound

This paper cites Cooperative decision- making for cavs at unsignalized intersections: A marl approach with attention and hierarchical game priors,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Cooperative decision- making for cavs at unsignalized intersections: A marl approach with attention and hierarchical game priors,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:41.888297Z

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Observation 41e301a5-45f2-443e-aaca-5af1da4cc0c3 · outbound

This paper cites Opencda-marl: A unified benchmarking framework for cooperative autonomous intersection man- agement with multi-agent reinforcement learning,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Opencda-marl: A unified benchmarking framework for cooperative autonomous intersection man- agement with multi-agent reinforcement learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:41.858975Z

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Observation 5f2e5e76-a17b-47ad-b7b5-e64b7d34952e · outbound

This paper cites Intnet: A communication- driven multi-agent reinforcement learning framework for cooperative autonomous driving,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Intnet: A communication- driven multi-agent reinforcement learning framework for cooperative autonomous driving,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:41.797155Z

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Observation 051ee787-d604-4a26-bbfe-85d08e65a9ff · outbound

This paper cites Actor-Attention-Critic for Multi-Agent Reinforcement Learning.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Actor-Attention-Critic for Multi-Agent Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T22:43:33.153653Z

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Observation ff9a6b32-4208-4219-8db7-8b44e1e17a44 · outbound

This paper cites Multi- lane unsignalized intersection cooperation strategy considering platoons formation in a mixed connected automated vehicles and connected human-driven vehicles environment,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Multi- lane unsignalized intersection cooperation strategy considering platoons formation in a mixed connected automated vehicles and connected human-driven vehicles environment,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:41.651645Z

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Observation 741fd9d2-c15a-441a-ba94-a41d44283e56 · outbound

This paper cites Maximum platoon size for platoon-based cooperative signal-free control at intersections,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Maximum platoon size for platoon-based cooperative signal-free control at intersections,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:41.566197Z

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Observation ad1888fc-643f-44d7-840a-c1aef90bf1c1 · outbound

This paper cites Cooperative longitu- dinal driving and lane assignment strategy for left-turn connected and autonomous vehicles at signalized intersections with a contraflow left- turn lane,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Cooperative longitu- dinal driving and lane assignment strategy for left-turn connected and autonomous vehicles at signalized intersections with a contraflow left- turn lane,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:41.522824Z

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Observation 284c87b6-0c95-406a-9738-fbef9a7438ef · outbound

This paper cites Infrastructure-assisted cooperative driving and intersection management in mixed traffic conditions,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Infrastructure-assisted cooperative driving and intersection management in mixed traffic conditions,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:41.436918Z

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Observation 772e7259-4779-47c3-ac26-92ab8d09e73f · outbound

This paper cites Arow: V2x- based automated right-of-way algorithm for cooperative intersection management,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Arow: V2x- based automated right-of-way algorithm for cooperative intersection management,

Reference 26

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Observation 4111fe10-76d0-4de5-8f8d-df743a52ae8d · outbound

This paper cites Digital twin empowered cooperative trajectory planning of platoon vehicles for collision avoidance with unexpected obstacles,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Digital twin empowered cooperative trajectory planning of platoon vehicles for collision avoidance with unexpected obstacles,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:41.334986Z

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Observation a6f9160b-9899-426c-9991-d5a87df05e75 · outbound

This paper cites A digital twins- assisted multi-autonomous vehicle distributed collaborative path plan- ning algorithm with fidelity guarantee,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept A digital twins- assisted multi-autonomous vehicle distributed collaborative path plan- ning algorithm with fidelity guarantee,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:41.065600Z

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Observation 7e2816d9-885d-4159-9b45-3b340cd08cd9 · outbound

This paper cites A digital twin framework for physical-virtual integration in v2x- enabled connected vehicle corridors,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept A digital twin framework for physical-virtual integration in v2x- enabled connected vehicle corridors,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:40.736676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f76b21d1-bbc1-49c4-80de-ce94c054953f · outbound

This paper cites Digital twin-based driver risk-aware predictive mobility analytics for real-time situational awareness through cooperative sens- ing,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Digital twin-based driver risk-aware predictive mobility analytics for real-time situational awareness through cooperative sens- ing,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:40.665078Z

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Observation 8386be35-6731-4e70-84f9-f16c88f58553 · outbound

This paper cites Internet of federated digital twins: Connecting twins beyond borders for society 5.0,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Internet of federated digital twins: Connecting twins beyond borders for society 5.0,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:40.349615Z

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Observation cd9978d3-9c81-499a-bdd4-a430e95fb3d0 · outbound

This paper cites Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:43:37.094761Z

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Observation 69bd1f42-78ac-47eb-8edb-f0b33e02dc47 · outbound

This paper cites Architecting Digital Twins for Intelligent Transportation Systems.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Architecting Digital Twins for Intelligent Transportation Systems

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:43:36.890606Z

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Observation fed43acb-00c1-447f-9bf7-66be365a0e7e · outbound

This paper cites Resilient mmwave multi-hop multi-user massive relay mimo for 6g networks,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Resilient mmwave multi-hop multi-user massive relay mimo for 6g networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:40.302143Z

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Observation f42d284b-2302-46f8-a1f3-9b6bc9460f9d · outbound

This paper cites Digital twins for anomaly detection in the industrial internet of things: Conceptual architecture and proof-of-concept,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Digital twins for anomaly detection in the industrial internet of things: Conceptual architecture and proof-of-concept,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:40.187623Z

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Observation 34d30308-d279-4243-8d78-deb9df50f6ee · outbound

This paper cites Sa-marl: Novel self-attention-based multi-agent reinforcement learning with stochastic gradient descent,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Sa-marl: Novel self-attention-based multi-agent reinforcement learning with stochastic gradient descent,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:39.984825Z

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Observation 1ad52b75-70c0-45a9-a0d7-9a3cb959e2f4 · outbound

This paper cites Towards safe automated driving: Design of software-defined dynamic mmwave v2x networks and poc implementation,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Towards safe automated driving: Design of software-defined dynamic mmwave v2x networks and poc implementation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:39.811109Z

Source-reported events for the cited work

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Observation 6708c5fe-c374-4e05-babe-50e1804cb24f · outbound

This paper cites Optimal control of markov processes with incomplete state information,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Optimal control of markov processes with incomplete state information,

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Resolution: unresolved; no resolver link, observed 2026-08-11T22:43:33.984747Z

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Observation a182c606-c598-4f03-9bed-8f3e387126de · outbound

This paper cites The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T22:43:34.044750Z

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Observation 5eaf836f-6273-4332-acac-c4644e7672f8 · outbound

This paper cites Conservative Q-Learning for Offline Reinforcement Learning.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Conservative Q-Learning for Offline Reinforcement Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T22:43:34.204750Z

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Observation cf0af965-1fae-4dc0-8553-8feff8f57710 · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Alvinn: An autonomous land vehicle in a neural network,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:39.695896Z

Source-reported events for the cited work

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Observation 0793af37-7cad-471c-adf1-f435523673ed · outbound

This paper cites CARLA: An Open Urban Driving Simulator.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept CARLA: An Open Urban Driving Simulator

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T22:43:34.297695Z

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Observation 538c582d-38e8-4422-98f1-c32f18376966 · outbound

This paper cites The surprising effectiveness of ppo in cooperative, multi-agent games,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept The surprising effectiveness of ppo in cooperative, multi-agent games,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T22:43:34.340875Z

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Observation 094b2851-0822-4649-b141-f2e1f6000946 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T22:43:34.634904Z

Source-reported events for the cited work

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Observation d523472f-5221-41b0-b0f6-03420ec80905 · outbound

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

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Multi- agent actor-critic for mixed cooperative-competitive environments,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T22:43:34.780638Z

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Observation d9aa79c0-9eb1-464d-8075-cb2de282369b · outbound

This paper cites Mixed motivation driven social multi-agent reinforcement learning for autonomous driving,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Mixed motivation driven social multi-agent reinforcement learning for autonomous driving,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:39.512487Z

Source-reported events for the cited work

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Observation da35c739-272f-45fe-a2e8-46896ff16353 · outbound

This paper cites Worst 1: Hiyodor- igoe intersection,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Worst 1: Hiyodor- igoe intersection,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:39.343603Z

Source-reported events for the cited work

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Observation 5777a47b-6313-4605-b8ef-3d4f559f1e79 · outbound

This paper cites Driving in shikoku: Safety tips and inter- section guide,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Driving in shikoku: Safety tips and inter- section guide,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:39.212613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a29b0d0d-19a1-44af-9fe4-dfe85772bb5c · outbound

This paper cites (2022, August) Nationwide worst no.1 dangerous intersection in fukuoka: A detailed investigation! Accessed: 2025-10-06.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept (2022, August) Nationwide worst no.1 dangerous intersection in fukuoka: A detailed investigation! Accessed: 2025-10-06

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:39.054915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb3e13ca-3c80-4185-8a76-e5981f3ddb20 · outbound

This paper cites Het-sdvn: Sdn-based radio resource management of heterogeneous v2x for cooperative perception,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Het-sdvn: Sdn-based radio resource management of heterogeneous v2x for cooperative perception,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:38.989039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 194402d9-dfad-4acc-b991-17d3171c1d7a · outbound

This paper cites Architecture enhancements for v2x services,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Architecture enhancements for v2x services,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:38.748057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4fe81413-11e9-472a-8d62-55d46beeb66a · outbound

This paper cites V2x communications message set dictionary,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept V2x communications message set dictionary,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:38.591477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3baaf7da-93cd-4369-aa81-93fadc3e4620 · outbound

This paper cites On-board system requirements for v2v safety communications,.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept On-board system requirements for v2v safety communications,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:43:38.464746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 46b70cef-45f9-497f-99b0-b4be249440d5 · outbound

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

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T22:43:34.925689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 776e82e8-3ccf-4ed2-bea0-68815646792c · outbound

This paper cites The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games.

How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T22:43:34.488588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers