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08/01/2023
A Novel Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction
Accurate Vehicle Trajectory Prediction is critical for automated vehicle...
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07/28/2023
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 vari...
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07/07/2023
inTformer: A Time-Embedded Attention-Based Transformer for Crash Likelihood Prediction at Intersections Using Connected Vehicle Data
The real-time crash likelihood prediction model is an essential componen...
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04/25/2023
A Unified Approach to Lane Change Intention Recognition and Driving Status Prediction through TCN-LSTM and Multi-Task Learning Models
Lane change (LC) is a continuous and complex operation process. Accurate...
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03/31/2023
Exploratory analysis of injury severity under different levels of driving automation (SAE Level 2-5) using multi-source data
Vehicles equipped with automated driving capabilities have shown the pot...
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03/29/2023
Using Connected Vehicle Trajectory Data to Evaluate the Effects of Speeding
Speeding has been and continues to be a major contributing factor to tra...
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03/27/2023
Advances and Applications of Computer Vision Techniques in Vehicle Trajectory Generation and Surrogate Traffic Safety Indicators
The application of Computer Vision (CV) techniques massively stimulates ...
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03/22/2023
AVOID: Autonomous Vehicle Operation Incident Dataset Across the Globe
Crash data of autonomous vehicles (AV) or vehicles equipped with advance...
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03/06/2023
ChatGPT is on the horizon: Could a large language model be all we need for Intelligent Transportation?
ChatGPT, developed by OpenAI, is one of the largest Large Language Model...
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12/08/2022
Towards Next Generation of Pedestrian and Connected Vehicle In-the-loop Research: A Digital Twin Simulation Framework
Digital Twin is an emerging technology that replicates real-world entiti...
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10/13/2022
Trajectory Prediction for Vehicle Conflict Identification at Intersections Using Sequence-to-Sequence Recurrent Neural Networks
Surrogate safety measures in the form of conflict indicators are indispe...
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10/10/2022
Modelling the Relationship Between Post Encroachment Time and Signal Timings Using UAV Video data
Intersection safety often relies on the correct modelling of signal phas...
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08/23/2022
CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins
The development of safety-oriented research ideas and applications requi...
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07/14/2022
Addressing unobserved heterogeneity at road user level for the analysis of conflict risk at tunnel toll plaza: A correlated grouped random parameters logit approach with hetero
Toll plaza is a designated area of controlled-access roads like expressw...
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03/09/2022
Deep Convolutional Neural Network for Roadway Incident Surveillance Using Audio Data
Crash events identification and prediction plays a vital role in underst...
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02/03/2022
Real-time Emergency Vehicle Event Detection Using Audio Data
In this work, we focus on detecting emergency vehicles using only audio ...
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05/21/2018
Approach-Level Real-Time Crash Risk Analysis for Signalized Intersections
This study attempts to investigate the relationship between crash occurr...
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05/20/2018
Utilizing Bluetooth and Adaptive Signal Control Data for Urban Arterials Safety Analysis
Real-time safety analysis has become a hot research topic as it can more...
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05/20/2018
