327 citations · 382 across the 10 of their papers we have counts for
10 papers
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…
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…
Accessibility optimization of public transportation in historical districts:a study of Belin District, Xian
Shengxuan Ding, Changwei Yuan, Jing Chen +2
With the continuous improvement of urbanization and motorization, travel demand in historical blocks is higher than before. The contradiction between supply of transportation facil…
Emergency Resource Layout with Multiple Objectives under Complex Disaster Scenarios
Changwei Yuan, Shengxuan Ding, Yin Wang +2
Effective placement of emergency rescue resources, particularly with joint suppliers in complex disaster scenarios, is crucial for ensuring the reliability, efficiency, and quality…
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…
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…