[HTML][HTML] Large Language Models for Intelligent Transportation: A Review of the State of the Art and Challenges
Large Language Models (LLMs), based on their highly developed ability to comprehend and
generate human-like text, promise to revolutionize all aspects of society. These LLMs …
generate human-like text, promise to revolutionize all aspects of society. These LLMs …
Applying few-shot learning in classifying pedestrian crash typing
Pedestrian deaths account for 23% of all road traffic fatalities worldwide. After declining for
three decades, pedestrian fatalities in the United States have been increasing with 6,941 …
three decades, pedestrian fatalities in the United States have been increasing with 6,941 …
Transit Pulse: Utilizing Social Media as a Source for Customer Feedback and Information Extraction with Large Language Model
Users of the transit system flood social networks daily with messages that contain valuable
insights crucial for improving service quality. These posts help transit agencies quickly …
insights crucial for improving service quality. These posts help transit agencies quickly …
Large models in transportation infrastructure: a perspective
Y Du - Intelligent Transportation Infrastructure, 2024 - academic.oup.com
In late 2022, OpenAI launched ChatGPT and quickly came into the spotlight based on the
development of large language modeling technology. ChatGPT is regarded as a new …
development of large language modeling technology. ChatGPT is regarded as a new …
Automating Pedestrian Crash Typology Using Transformer Models
To accurately analyze and understand the causes of traffic crashes involving pedestrians
and bicyclists, the Pedestrian and Bicycle Crash Analysis Tool (PBCAT) was developed …
and bicyclists, the Pedestrian and Bicycle Crash Analysis Tool (PBCAT) was developed …
Exploring Traffic Crash Narratives in Jordan Using Text Mining Analytics
This study explores traffic crash narratives in an attempt to inform and enhance effective
traffic safety policies using text-mining analytics. Text mining techniques are employed to …
traffic safety policies using text-mining analytics. Text mining techniques are employed to …