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 …

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 …

Artificial intelligence based object detection and traffic prediction by autonomous vehicles–A review

P Sharma, C Rana - Expert Systems with Applications, 2024 - Elsevier
Autonomous vehicles (AV) are anticipated to have a significant positive impact on society by
reducing accidents and optimizing traffic. However, they are primarily based on …

Reliability-Seeking virtual organizations at the margins of systems, resources and capacity

M Grabowski, PF Martelli, KH Roberts - Safety Science, 2023 - Elsevier
High reliability organization (HRO) principles have been used to reduce risk and enhance
safety, embracing such tenets as high tempo, operational decision-making; clear and …

[HTML][HTML] 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 …

[HTML][HTML] A fuel consumption-based method for developing local-specific CO2 emission rate database using open-source big data

L Li, C Wang, J Gan, D Zhang - Journal of Big Data, 2024 - Springer
Emission data collection has always been a significant burden and challenge for Chinese
counties to develop a CO2 emission inventory. This paper proposed a fuel consumption …

Dilemma of Responsibility-Sensitive Safety in Longitudinal Mixed Autonomous Vehicles Flow: A Human-Driver-Error-Tolerant Driving Strategy

HS Qi - IEEE Open Journal of Intelligent Transportation …, 2024 - ieeexplore.ieee.org
The safety of autonomous vehicles (AVs) is a critical consideration for their widespread
adoption. Responsibility sensitive safety (RSS) is proposed to serve as a model checking …

Evaluation of Teleoperation Concepts to solve Automated Vehicle Disengagements

D Brecht, N Gehrke, T Kerbl, N Krauss… - arXiv preprint arXiv …, 2024 - arxiv.org
Teleoperation is a popular solution to remotely support highly automated vehicles through a
human remote operator whenever a disengagement of the automated driving system is …

Exploratory analysis of injury severity under different levels of driving automation (SAE Level 2-5) using multi-source data

S Ding, M Abdel-Aty, D Wang, N Barbour… - arXiv preprint arXiv …, 2023 - arxiv.org
Vehicles equipped with automated driving capabilities have shown the potential to improve
safety and operations. Advanced driver assistance systems (ADAS) and automated driving …

A Comprehensive Traffic Accident Investigation System for Identifying Causes of the Accident Involving Events with Autonomous Vehicle

H Kim, H Han, Y You, MJ Cho, J Hong… - Journal of Advanced …, 2024 - Wiley Online Library
As the number of autonomous vehicles increases, the number of accidents also increases
every year. These incidents include general car/traffic accidents and may introduce new …