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Found 12 papers, 3 papers with code
Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis
Our solution mainly focuses on the following points: 1) To solve dense video captioning, we leverage the framework of dense video captioning with parallel decoding (PDVC) to model visual-language sequences and generate dense caption by chapters for video.
Vehicle-group-based Crash Risk Formation and Propagation Analysis for Expressways
Several key factors contributing to crash risks were identified, including past high-risk vehicle-group states, complex vehicle behaviors, high percentage of large vehicles, frequent lane changes within a vehicle group, and specific road geometries.
A Novel Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction
Keywords: Vehicle trajectory prediction, driving intentions Classification, Multi-task
TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety
Large Language Models (LLMs) have shown remarkable effectiveness in various general-domain natural language processing (NLP) tasks.
inTformer: A Time-Embedded Attention-Based Transformer for Crash Likelihood Prediction at Intersections Using Connected Vehicle Data
Over the years, numerous studies have attempted to construct a crash likelihood prediction model in order to enhance traffic safety, but mostly on freeways.
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles
The results indicate that the classification accuracy of LC intention was improved from 96. 14% to 98. 20% when incorporating the attention mechanism into the TCN model.
Using Connected Vehicle Trajectory Data to Evaluate the Effects of Speeding
It is expected that the findings could help inform transportation agencies more on the factors related to speeding for an individual driver's trip.
Advances and Applications of Computer Vision Techniques in Vehicle Trajectory Generation and Surrogate Traffic Safety Indicators
This review is expected to assist transportation researchers and engineers with the selection of suitable CV techniques for video processing, and the usage of SSMs for various traffic safety research objectives.
ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?
ChatGPT embarks on a new era of artificial intelligence and will revolutionize the way we approach intelligent traffic safety systems.
Trajectory Prediction for Vehicle Conflict Identification at Intersections Using Sequence-to-Sequence Recurrent Neural Networks
A comparison between Time-to-Collision (TTC) conflict identification using vehicle bounding boxes versus the commonly used vehicle center points for geometric representation was conducted.
CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins
The development of safety-oriented research and applications requires fine-grain vehicle trajectories that not only have high accuracy, but also capture substantial safety-critical events.
Deep Convolutional Neural Network for Roadway Incident Surveillance Using Audio Data
Together with the feature extraction this data augmentation can achieve reasonable accuracy.
