ChatGPT is on the horizon: could a large language model be suitable for intelligent traffic safety research and applications?

O Zheng, M Abdel-Aty, D Wang, Z Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
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 about …

Investigating the impacts of autonomous vehicles on crash severity and traffic safety

D Almaskati, S Kermanshachi… - Frontiers in Built …, 2024 - frontiersin.org
Traffic accidents are a nationwide public health concern, but autonomous vehicles (AVs)
have the potential to significantly reduce accident severity and frequency by eliminating their …

TrafficSafetyGPT: Tuning a pre-trained large language model to a domain-specific expert in transportation safety

O Zheng, M Abdel-Aty, D Wang, C Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) have shown remarkable effectiveness in various general-
domain natural language processing (NLP) tasks. However, their performance in …

A matched case-control analysis of autonomous vs human-driven vehicle accidents

M Abdel-Aty, S Ding - Nature Communications, 2024 - nature.com
Despite the recent advancements that Autonomous Vehicles have shown in their potential to
improve safety and operation, considering differences between Autonomous Vehicles and …

Investigating the difference in factors influencing the injury severity between daytime and nighttime speeding-related crashes

R Yuan, Q Xiang, Y Huang, X Gu - Canadian Journal of Civil …, 2023 - cdnsciencepub.com
This study investigates the differences in the factors affecting the injury severity of speeding-
related crashes occurring in the daytime and nighttime. Two log-likelihood ratio tests are …