Latest Research in Smart Parking Systems Research
17 research papers · 2026 median publication year
Top Research Topics in Smart Parking Systems Research
- Traffic Prediction and Management Techniques — 6 papers
- Smart Parking Systems Research — 4 papers
- Computer Vision and Pattern Recognition — 2 papers
- Machine Learning — 2 papers
- Computational Engineering, Finance, and Science — 1 papers
- Optimization and Control — 1 papers
- Urban and Freight Transport Logistics — 1 papers
Highest-Cited Papers
- From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning
- A Graph Neural Network Surrogate Model for Incident-Based Travel Time Prediction Under Limited Sensor Data
- A Study on Urban Traffic Speed Prediction Using Spatiotemporal Attention-Based Convolutional Neural Networks
- From Rooms to Rows: Adapting Indoor Functional-Zone Segmentation to Open Parking Environments
- MURECAST: Memory-Based Utility-Aligned Residual Evidence with Calibrated Activation for Selective Correction of Traffic-Flow Forecasts
- DeCyReM: De-Cycled Residual Memory with Utility-Gated Retrieval for Traffic Flow Forecasting
- An Ensemble-Based Self-Taught Learning Approach for Parking Space Classification Under Limited Data
- Enhancing Long Short-Term Memory Framework Using Hybrid Meta-Heuristic Optimization Techniques for Traffic Flow Forecasting
- A2TTA: Anchored-and-Agile Test-Time Adaptation for Evolving Traffic Sensor Networks
- Congestion Propagation Identification and Prediction Using Self Attention–Based Diffusion Convolutional Approach
- MetaPKLot – new challenges and protocols for vision-based parking lot management
- SafeStep: An Interactive Demonstration of Semantic Communication for Pedestrian Safety Monitoring
- Design, Implementation, and Experimental Validation of a Sensor-Fusion-Based Autonomous Parking Platform
- A Multi-View Coupled Tensor Decomposition for Lightweight Online Adaptive Traffic Prediction
- Truck Parking Demand Analysis along Nebraska’s Major Truck Freight Corridor: Utilizing Deep Learning Algorithms on Imagery Data
- Vision-Based Smart Parking Occupancy Detection Using Deep Learning Object Detection Models
- EADGN: an event-adaptive dynamic graph network for robust traffic flow forecasting under anomalous conditions