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Advanced Traffic Prediction: A Hybrid Model for Urban Flow Forecasting

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Precise Parking: Correcting GPS Errors with a Low-Rank Approach

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Predicting Vehicle Movements with CAMNet: A New Approach Using Cooperative Awareness Messages

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A Unified Approach to Smarter Urban Traffic Prediction

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Smarter Traffic Forecasting: How Strategic Expert Selection Outperforms Complex Models

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Accelerating Trajectory Prediction with Collaborative AI Distillation

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Ensuring Trust and Security in Vehicular Semantic Communication

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Streamlining Urban Traffic Surveillance: A Semantic Communication Approach with Vision Transformers and Language Models

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Navigating Unseen Roads: TrajAware’s Approach to VANET Routing

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Enhancing Traffic Prediction with Human Knowledge: A New Cross-Modal Fusion Model

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AI System Optimizes Vehicle Speed Classification for Urban Traffic Management

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FlowDet: Advancing Real-Time Traffic Detection for Complex Intersections

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Unlocking Accurate Traffic Forecasts with Retrieval-Augmented Spatio-Temporal Modeling

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Forecasting Traffic Flow with a Unified Spatial-Temporal Attention Network

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Unlocking Urban Mobility: A Review of Machine Learning in Micromobility

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VISTA: A Compact AI for Real-time Traffic Video Interpretation

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Securing Smart City Cameras: Transforming Visual Data into Private Text with AI

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Forecasting Urban Bus Routes with Advanced Deep Learning

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Advancing Traffic Prediction with M3-Net: A New MLP-Based Approach

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Advancing Traffic Prediction in Sensor-Scarce Urban Areas

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Simulating Traffic Realism: Embracing Data Noise for Better Models

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Improving Traffic Flow Forecasts Through Multi-Layered Graph Learning

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Brain-Inspired AI Helps Self-Driving Cars Remember Past Experiences

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Oranits: Optimizing Mission Assignment and Task Offloading in Intelligent Transportation Systems

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Forgetting the Past: A New Approach to Machine Unlearning in Traffic Prediction

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GraphTrafficGPT: Advancing Traffic Management with Graph-Based AI

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Advancing Traffic Prediction with Deformable Dynamic Convolution Networks

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New Framework Improves Highway Merging for Mixed Human and Automated Traffic

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Chat2SPaT: Streamlining Traffic Signal Management Using Large Language Models

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Large Language Models Prove Effective in Predicting Traffic Incident Impact

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