Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm | Paper Citation Record

Observation eb6f3407-d183-4b18-a483-81189f55c243 · outbound

This paper cites Human factors contributing to the road traffic accident occurrence,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Human factors contributing to the road traffic accident occurrence,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:04.425560Z

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Observation e6a1c09e-954b-451b-be16-6e73a0856605 · outbound

This paper cites Impact of risk factors on work zone crashes using logistic models and Random Forest,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Impact of risk factors on work zone crashes using logistic models and Random Forest,

Reference 2

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Observation 70b5991f-9e50-4d97-b1e4-c7f6ec3f0d8e · outbound

This paper cites Fuel consumption at signalized intersections: Investigating the impact of different signal indication settings,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Fuel consumption at signalized intersections: Investigating the impact of different signal indication settings,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:04.371402Z

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Observation 7e6b0140-6027-4a2a-82d0-bedb36850482 · outbound

This paper cites Joint Impact of Rain and Incidents on Traffic Stream Speeds,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Joint Impact of Rain and Incidents on Traffic Stream Speeds,

Reference 4

Resolution: verified exact; doi, observed 2026-08-12T19:18:02.144771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation def6b2a8-0de9-4eb4-b497-3c4add12b37f · outbound

This paper cites Modeling driver behavior within a signalized intersection approach decision–dilemma zone,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Modeling driver behavior within a signalized intersection approach decision–dilemma zone,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:04.341239Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6e69e7a2-d08a-430b-8583-43902fc824ee · outbound

This paper cites Evaluating a signalized intersection performance using unmanned aerial Data,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Evaluating a signalized intersection performance using unmanned aerial Data,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.241567Z

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Observation 90dea34b-f1f6-47c1-b674-6e1edb5681a5 · outbound

This paper cites Physiological and driving behaviour changes associated to different road intersections,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Physiological and driving behaviour changes associated to different road intersections,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:04.300897Z

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Observation 972cbf65-49c2-48fa-819a-156e554f0cc3 · outbound

This paper cites NCHRP 20-07/Task 414: Benefits of adaptive traffic control deployments—A review of evaluation studies,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm NCHRP 20-07/Task 414: Benefits of adaptive traffic control deployments—A review of evaluation studies,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:04.264196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5a731e58-3c9b-4670-9636-7454511a8d02 · outbound

This paper cites LLMLight: Large Language Models as Traffic Signal Control Agents.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm LLMLight: Large Language Models as Traffic Signal Control Agents

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.280094Z

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Observation fe094be6-c1ae-4c42-a9df-a9c986971538 · outbound

This paper cites Driving behavior classification at signalized intersections using vehicle kinematics: Application of unsupervised machine learning,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Driving behavior classification at signalized intersections using vehicle kinematics: Application of unsupervised machine learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:04.206828Z

Source-reported events for the cited work

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Observation 97831a01-3c2f-4884-84fb-d31999b36833 · outbound

This paper cites Heterogeneity in the driver behavior: an exploratory study using real-time driving data,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Heterogeneity in the driver behavior: an exploratory study using real-time driving data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:04.165755Z

Source-reported events for the cited work

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Observation 9f40158a-2ff1-4279-bd4b-05f09a1ed590 · outbound

This paper cites Interaction driver –bicyclist on rural roads: Effects of cross - sections and road geometric elements,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Interaction driver –bicyclist on rural roads: Effects of cross - sections and road geometric elements,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:04.139800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 18b05bb1-1469-4472-a1ae-ebf0b207d94b · outbound

This paper cites Driver Behavior at Roundabouts in Mixed Traffic: A Case Study Using Machine Learning,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Driver Behavior at Roundabouts in Mixed Traffic: A Case Study Using Machine Learning,

Reference 13

Resolution: verified exact; doi, observed 2026-08-12T19:18:02.102667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 06a75c05-5913-49a2-b8a8-b7b4ee8be0e3 · outbound

This paper cites A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.319928Z

Source-reported events for the cited work

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Observation 4e56bfc6-d084-47f8-a3a6-91432c3b9a43 · outbound

This paper cites Incorporating driving volatility measures in safety performance functions: Improving safety at signalized intersections,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Incorporating driving volatility measures in safety performance functions: Improving safety at signalized intersections,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:04.110882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d9405262-d1d5-4011-a390-1052dd44a208 · outbound

This paper cites Incorporating driving behavior into vehicle fuel consumption prediction: methodology development and testing,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Incorporating driving behavior into vehicle fuel consumption prediction: methodology development and testing,

Reference 16

Resolution: verified exact; doi, observed 2026-08-12T19:18:02.022535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0d9b70a6-ded9-45e5-8f1d-db7cbe153530 · outbound

This paper cites LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.350621Z

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Observation 62b5ad75-f8da-4245-b4d0-adb52660405e · outbound

This paper cites ConnectGPT: Connect Large Language Models with Connected and Automated Vehicles,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm ConnectGPT: Connect Large Language Models with Connected and Automated Vehicles,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:04.078462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b8a983b4-94b3-4099-a781-271697a89e2f · outbound

This paper cites Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.369778Z

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Observation 001bff66-4d7f-4b70-9666-0044e7dffe2f · outbound

This paper cites Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:04.041893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c9240e58-63fb-43ad-9ae2-9106619fecff · outbound

This paper cites Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.401098Z

Source-reported events for the cited work

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Observation d189d0f4-77b0-4471-9443-405ebc7cffef · outbound

This paper cites ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.409851Z

Source-reported events for the cited work

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Observation 05597485-6e60-4140-bd4e-3259a463e359 · outbound

This paper cites TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:04.008636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 45c993af-6053-4769-a4b7-a0ff9c7ef92f · outbound

This paper cites TrafficGPT: Viewing, processing and interacting with traffic foundation models,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm TrafficGPT: Viewing, processing and interacting with traffic foundation models,

Reference 24

Resolution: verified exact; doi, observed 2026-08-12T19:18:01.991208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 94a0952b-040e-4d3a-a05c-ab201c65e0e3 · outbound

This paper cites Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:03.950482Z

Source-reported events for the cited work

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Observation 405cd40a-4800-45b1-89e5-23199cb41963 · outbound

This paper cites Toward driving scene understanding: A dataset for learning driver behavior and causal reasoning,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Toward driving scene understanding: A dataset for learning driver behavior and causal reasoning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:03.913768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d75398dd-1c18-4e8c-afbc-483ed3526aad · outbound

This paper cites Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges,

Reference 28

Resolution: verified exact; doi, observed 2026-08-12T19:18:01.950117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 71d08070-6a49-4300-8f79-9e4d2e0bce67 · outbound

This paper cites Multitask Learning for Crash Analysis: A Fine-Tuned LLM Framework Using Twitter Data,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Multitask Learning for Crash Analysis: A Fine-Tuned LLM Framework Using Twitter Data,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.486602Z

Source-reported events for the cited work

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Observation 48c24aae-38fb-4f65-b769-defaf537836f · outbound

This paper cites Large Language Model -Driven Urban Traffic Signal Control,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Large Language Model -Driven Urban Traffic Signal Control,

Reference 30

Resolution: verified exact; raw_fallback, observed 2026-08-12T19:18:03.102582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 738387ab-957c-4897-91a0-e52d1a5d8be2 · outbound

This paper cites Advancing ITS Applications with LLMs: A Survey on Traffic Management, Transportation Safety, and Autonomous Driving,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Advancing ITS Applications with LLMs: A Survey on Traffic Management, Transportation Safety, and Autonomous Driving,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:03.875461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 76be852b-0044-4229-9f15-fb93383399a1 · outbound

This paper cites iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.517178Z

Source-reported events for the cited work

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Observation 44c26946-e7cf-484c-bc65-6b87898f63dc · outbound

This paper cites LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.528856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b65d7f28-5dd6-46dc-8130-b2b1317175b5 · outbound

This paper cites TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.544592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22368421-4b2f-46ab-b221-f2867f275da8 · outbound

This paper cites DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.562066Z

Source-reported events for the cited work

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Observation 457b073d-78c0-4cec-a41e-dd33cb00a795 · outbound

This paper cites Traffic control systems handbook,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Traffic control systems handbook,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:03.815555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e7311fb0-a6b2-45c5-be0f-e03c04209ffa · outbound

This paper cites Traffic signal systems research: Past, present, and future trends,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Traffic signal systems research: Past, present, and future trends,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:03.775680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1f33a447-7ba7-4428-96dc-8dfa09b3e6ae · outbound

This paper cites Using Multimodal Large Language Models (MLLMs) for Automated Detection of Traffic Safety- Critical Events,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Using Multimodal Large Language Models (MLLMs) for Automated Detection of Traffic Safety- Critical Events,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.608316Z

Source-reported events for the cited work

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Observation a012fabc-b1fe-4b7f-9c27-b2d176087600 · outbound

This paper cites Vision Language Models in Autonomous Driving: A Survey and Outlook.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.615147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c36e4b34-85e2-4ef6-8359-449243dae831 · outbound

This paper cites Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:03.739047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f684afe-9246-4abb-9208-07557560834b · outbound

This paper cites Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.645780Z

Source-reported events for the cited work

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Observation f85d4a40-dfc0-4f94-94cc-db24b379d133 · outbound

This paper cites Secure and Scalable Multi-Modal Vehicle Systems: A Cloud-Based Framework for Real -Time LLM -Driven Interactions,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Secure and Scalable Multi-Modal Vehicle Systems: A Cloud-Based Framework for Real -Time LLM -Driven Interactions,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:03.688160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4a370116-4b79-41c8-aa8f-088190d181fc · outbound

This paper cites Traffic signal control enhancements under vehicle infrastructure integration systems.,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Traffic signal control enhancements under vehicle infrastructure integration systems.,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:03.651846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e3bc6e65-aac2-4275-8d76-566651c6b611 · outbound

This paper cites Agile Approaches for Cybersecurity Systems, IoT and Intelligent Transportation,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Agile Approaches for Cybersecurity Systems, IoT and Intelligent Transportation,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.681670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7840a44-e775-4a0d-b117-0f035c0ffe76 · outbound

This paper cites Overview of Road Traffic Management Solutions based on IoT and AI,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Overview of Road Traffic Management Solutions based on IoT and AI,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.692858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62508afe-afef-46bf-877e-097d917708e2 · outbound

This paper cites Traffic management approaches using machine learning and deep learning techniques: A survey,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Traffic management approaches using machine learning and deep learning techniques: A survey,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.703418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d4877d4-1965-4f5a-9da5-220e92f0ea4d · outbound

This paper cites Advancing ITS Applications with LLMs: A Survey on Traffic Management, Transportation Safety, and Autonomous Driving,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Advancing ITS Applications with LLMs: A Survey on Traffic Management, Transportation Safety, and Autonomous Driving,

Reference 47

Resolution: verified exact; doi, observed 2026-08-12T19:18:01.853574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a6c37404-4d60-4b00-bf2f-522394b2f6f8 · outbound

This paper cites Enhancing Network Management Using Code Generated by Large Language Models,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Enhancing Network Management Using Code Generated by Large Language Models,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.721539Z

Source-reported events for the cited work

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Observation e7e057e0-a1da-484e-a740-33646ac00d2d · outbound

This paper cites MTD -GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm MTD -GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.732734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c28b559-df01-417d-a2b7-0b2d79eb8bf8 · outbound

This paper cites ConnectGPT: Connect Large Language Models with Connected and Automated Vehicles,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm ConnectGPT: Connect Large Language Models with Connected and Automated Vehicles,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.741418Z

Source-reported events for the cited work

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Observation 5846b849-4395-455d-9711-1e5158437261 · outbound

This paper cites Prompting GPT –4 to support automatic safety case generation,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Prompting GPT –4 to support automatic safety case generation,

Reference 51

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T19:18:02.387798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7e67db48-1144-499a-8e3c-006e3745d790 · outbound

This paper cites DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction,.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:18:03.609720Z

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Observation b34549da-76ed-40e1-b9fa-d37670ffdf3b · outbound

This paper cites an unresolved cited work.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Unresolved cited work

Reference 4525

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.769409Z

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