327 citations · 754 across the 17 of their papers we have counts for
17 papers
FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization
Minwei Kong, Chonghe Jiang, Ao Qu +24
Large language models (LLMs) are increasingly used for optimization modeling and solver-code generation, yet practical operations research and optimization problems often require a…
Ozone: A Unified Platform for Transportation Research
Ou Zheng, Ruyi Feng, Yufeng Yang +12
Transportation research increasingly depends on heterogeneous data from roadside cameras, UAV imagery, LiDAR, and in-vehicle sensors. Differences in data representations, model int…
RF-Enhanced Road Infrastructure for Intelligent Transportation
Dajiang Suo, Heyi Li, Rahul Bhattacharyya +7
The EPC GEN 2 communication protocol for Ultra-high frequency Radio Frequency Identification (RFID) has offered a promising avenue for advancing the intelligence of transportation…
TrTr: A Versatile Pre-Trained Large Traffic Model based on Transformer for Capturing Trajectory Diversity in Vehicle Population
Ruyi Feng, Zhibin Li, Bowen Liu +1
Understanding trajectory diversity is a fundamental aspect of addressing practical traffic tasks. However, capturing the diversity of trajectories presents challenges, particularly…
TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety
Ou Zheng, Mohamed Abdel-Aty, Dongdong Wang +2
Large Language Models (LLMs) have shown remarkable effectiveness in various general-domain natural language processing (NLP) tasks. However, their performance in transportation saf…
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles
Renteng Yuan, Mohamed Abdel-Aty, Xin Gu +2
Accurately detecting and predicting lane change (LC)processes of human-driven vehicles can help autonomous vehicles better understand their surrounding environment, recognize poten…
ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model
Hanyao Huang, Ou Zheng, Dongdong Wang +8
The ChatGPT, a lite and conversational variant of Generative Pretrained Transformer 4 (GPT-4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with billion…
AVOID: Autonomous Vehicle Operation Incident Dataset Across the Globe
Ou Zheng, Mohamed Abdel-Aty, Zijin Wang +3
Crash data of autonomous vehicles (AV) or vehicles equipped with advanced driver assistance systems (ADAS) are the key information to understand the crash nature and to enhance the…
Exploratory analysis of injury severity under different levels of driving automation (SAE Level 2-5) using multi-source data
Shengxuan Ding, Mohamed Abdel-Aty, Natalia Barbour +3
Vehicles equipped with automated driving capabilities have shown potential to improve safety and operations. Advanced driver assistance systems (ADAS) and automated driving systems…
Traffic flow clustering framework using drone video trajectories to identify surrogate safety measures
Shengxuan Ding, Mohamed Abdel-Aty, Ou Zheng +2
The utilization of traffic conflict indicators is crucial for assessing traffic safety, especially when the crash data is unavailable. To identify traffic conflicts based on traffi…
Advances and Applications of Computer Vision Techniques in Vehicle Trajectory Generation and Surrogate Traffic Safety Indicators
Mohamed Abdel-Aty, Zijin Wang, Ou Zheng +1
The application of Computer Vision (CV) techniques massively stimulates microscopic traffic safety analysis from the perspective of traffic conflicts and near misses, which is usua…
ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?
Ou Zheng, Mohamed Abdel-Aty, Dongdong Wang +2
ChatGPT embarks on a new era of artificial intelligence and will revolutionize the way we approach intelligent traffic safety systems. This paper begins with a brief introduction a…
Towards Next Generation of Pedestrian and Connected Vehicle In-the-loop Research: A Digital Twin Co-Simulation Framework
Zijin Wang, Ou Zheng, Liangding Li +3
Digital Twin is an emerging technology that replicates real-world entities into a digital space. It has attracted increasing attention in the transportation field and many research…
Trajectory Prediction for Vehicle Conflict Identification at Intersections Using Sequence-to-Sequence Recurrent Neural Networks
Amr Abdelraouf, Mohamed Abdel-Aty, Zijin Wang +1
Surrogate safety measures in the form of conflict indicators are indispensable components of the proactive traffic safety toolbox. Conflict indicators can be classified into past-t…
Modelling the Relationship Between Post Encroachment Time and Signal Timings Using UAV Video data
Zubayer Islam, Mohamed Abdel-Aty, Amrita Goswamy +2
Intersection safety often relies on the correct modelling of signal phasing and timing parameters. A slight increase in yellow time or red time can have significant impact on the r…
CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins
Ou Zheng, Mohamed Abdel-Aty, Lishengsa Yue +3
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…
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 heterogeneity in means
Penglin Song, N. N. Sze, Ou Zheng +1
Toll plaza is a designated area of controlled-access roads like expressway, bridge, and tunnel for toll collection. A number of toll booths are often placed at the toll plaza accom…