Latest Research in Smart Parking Systems Research

17 research papers · 2026 median publication year

Top Research Topics in Smart Parking Systems Research

Highest-Cited Papers

  1. From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning
  2. A Graph Neural Network Surrogate Model for Incident-Based Travel Time Prediction Under Limited Sensor Data
  3. A Study on Urban Traffic Speed Prediction Using Spatiotemporal Attention-Based Convolutional Neural Networks
  4. From Rooms to Rows: Adapting Indoor Functional-Zone Segmentation to Open Parking Environments
  5. MURECAST: Memory-Based Utility-Aligned Residual Evidence with Calibrated Activation for Selective Correction of Traffic-Flow Forecasts
  6. DeCyReM: De-Cycled Residual Memory with Utility-Gated Retrieval for Traffic Flow Forecasting
  7. An Ensemble-Based Self-Taught Learning Approach for Parking Space Classification Under Limited Data
  8. Enhancing Long Short-Term Memory Framework Using Hybrid Meta-Heuristic Optimization Techniques for Traffic Flow Forecasting
  9. A2TTA: Anchored-and-Agile Test-Time Adaptation for Evolving Traffic Sensor Networks
  10. Congestion Propagation Identification and Prediction Using Self Attention–Based Diffusion Convolutional Approach
  11. MetaPKLot – new challenges and protocols for vision-based parking lot management
  12. SafeStep: An Interactive Demonstration of Semantic Communication for Pedestrian Safety Monitoring
  13. Design, Implementation, and Experimental Validation of a Sensor-Fusion-Based Autonomous Parking Platform
  14. A Multi-View Coupled Tensor Decomposition for Lightweight Online Adaptive Traffic Prediction
  15. Truck Parking Demand Analysis along Nebraska’s Major Truck Freight Corridor: Utilizing Deep Learning Algorithms on Imagery Data
  16. Vision-Based Smart Parking Occupancy Detection Using Deep Learning Object Detection Models
  17. EADGN: an event-adaptive dynamic graph network for robust traffic flow forecasting under anomalous conditions
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L3 Region - - 2026 Sep Q3

Smart Parking Systems Research

17 papers

Top Topics (7)

Traffic Prediction and Management Techniques6
Smart Parking Systems Research4
Computer Vision and Pattern Recognition2
Machine Learning2
Computational Engineering, Finance, and Science1
Optimization and Control1
Urban and Freight Transport Logistics1

Top Publications (17)

1.From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning2.A Graph Neural Network Surrogate Model for Incident-Based Travel Time Prediction Under Limited Sensor Data3.A Study on Urban Traffic Speed Prediction Using Spatiotemporal Attention-Based Convolutional Neural Networks4.From Rooms to Rows: Adapting Indoor Functional-Zone Segmentation to Open Parking Environments5.MURECAST: Memory-Based Utility-Aligned Residual Evidence with Calibrated Activation for Selective Correction of Traffic-Flow Forecasts6.DeCyReM: De-Cycled Residual Memory with Utility-Gated Retrieval for Traffic Flow Forecasting7.An Ensemble-Based Self-Taught Learning Approach for Parking Space Classification Under Limited Data8.Enhancing Long Short-Term Memory Framework Using Hybrid Meta-Heuristic Optimization Techniques for Traffic Flow Forecasting9.A2TTA: Anchored-and-Agile Test-Time Adaptation for Evolving Traffic Sensor Networks10.Congestion Propagation Identification and Prediction Using Self Attention–Based Diffusion Convolutional Approach11.MetaPKLot – new challenges and protocols for vision-based parking lot management12.SafeStep: An Interactive Demonstration of Semantic Communication for Pedestrian Safety Monitoring13.Design, Implementation, and Experimental Validation of a Sensor-Fusion-Based Autonomous Parking Platform14.A Multi-View Coupled Tensor Decomposition for Lightweight Online Adaptive Traffic Prediction15.Truck Parking Demand Analysis along Nebraska’s Major Truck Freight Corridor: Utilizing Deep Learning Algorithms on Imagery Data16.Vision-Based Smart Parking Occupancy Detection Using Deep Learning Object Detection Models17.EADGN: an event-adaptive dynamic graph network for robust traffic flow forecasting under anomalous conditions
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