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2026-05
Driver Behavior Recognition in Complex Driving Scenarios via Deep Attention Network with Geometric–Spatial Fusion Features

Transportation Research Record: Journal of the Transportation Research Board, Volume 2680, Issue 5, pp 395-417

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2026-04
Crash Severity Risk Modeling Strategies under Data Imbalance

Transportation Research Record: Journal of the Transportation Research Board, Volume 2680, Issue 4, pp 662-688

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2026-04
Pavement Cracking Prediction Models Based on Deep Learning Physics-Informed Neural Network

Transportation Research Record: Journal of the Transportation Research Board, Volume 2680, Issue 4, pp 241-260

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2026-04
Enhancing Taxi Demand Prediction with Limited Data using a Spatial-Temporal Large Language Model

Transportation Research Record: Journal of the Transportation Research Board, Volume 2680, Issue 4, pp 336-352

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2026-04
Lane-Change Intention Recognition in Roundabouts Based on Explainable Deep Learning

Transportation Research Record: Journal of the Transportation Research Board, Volume 2680, Issue 4, pp 397-418

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2026-02
STGANT: Spatiotemporal Generative Attention Network with Adversarial Training for Intersection Vehicle Trajectory Prediction

Transportation Research Record: Journal of the Transportation Research Board, Volume 2680, Issue 2, pp 830-847

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2026-02
IDRNet: Intention-Based Deep Reinforcement Learning Network for Multiagent Trajectory Prediction

Transportation Research Record: Journal of the Transportation Research Board, Volume 2680, Issue 2, pp 1114-1135

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2026-02
Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks

Transportation Research Record: Journal of the Transportation Research Board, Volume 2680, Issue 2, pp 756-774

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2026-02
Traffic Prediction and Optimization with Deep Learning based on a Vehicle–Road–Cloud Integration Platform

Transportation Research Record: Journal of the Transportation Research Board, Volume 2680, Issue 2, pp 504-518

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2026-02
Optimizing Train Scheduling in Heavy-Haul Railways Using Diversified Cooperative Deep Reinforcement Learning

Transportation Research Record: Journal of the Transportation Research Board, Volume 2680, Issue 2, pp 286-312

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2026-01
Vehicle–Infrastructure Cooperation Framework for Vehicle Navigation and Traffic Signal Control using Deep Reinforcement Learning

Transportation Research Record: Journal of the Transportation Research Board, Volume 2680, Issue 1, pp 568-583

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2026-01
Physics-Informed Deep Learning Framework for Urban Traffic Network State Data Imputation

Transportation Research Record: Journal of the Transportation Research Board, Volume 2680, Issue 1, pp 73-100

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2026-01
Toward Safe Autonomous Highway Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach

Transportation Research Record: Journal of the Transportation Research Board, Volume 2680, Issue 1, pp 416-431

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2026
Traffic Volume Estimation Using Deep Learning for High-Resolution Greenhouse Gas Inventory

Transportation Research Record: Journal of the Transportation Research Board

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2026
Language-Aware Deep Learning for Crash Severity Prediction Modeling in Khmer Traffic Reports

Transportation Research Record: Journal of the Transportation Research Board

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2026
2026
Resource-Efficient Dynamic Platooning Control through Deep Q-Network-Based Event-Triggered Scheduling

Transportation Research Record: Journal of the Transportation Research Board

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2026
Adaptive Battery Swapping for Autonomous Delivery Vehicles Using Dueling Double Deep Q Network

Transportation Research Record: Journal of the Transportation Research Board

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2025-11
Integrating Transfer Learning and U-Net for Accurate Detection and Segmentation of Asphalt Pavement Bleeding

Transportation Research Record: Journal of the Transportation Research Board, Volume 2679, Issue 11, pp 558-575

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2025-10
Optimizing Heterogeneous Capacitated Vehicle Routing with Linformer and Multi-Relationship Decoding: A Deep Reinforcement Learning Approach

Transportation Research Record: Journal of the Transportation Research Board, Volume 2679, Issue 10, pp 39-60

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