Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shengxuan Ding"'
Autor:
Mohamed Abdel-Aty, Shengxuan Ding
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Despite the recent advancements that Autonomous Vehicles have shown in their potential to improve safety and operation, considering differences between Autonomous Vehicles and Human-Driven Vehicles in accidents remain unidentified due to the
Externí odkaz:
https://doaj.org/article/0822ede6a68a4ec5a057aead9626bf7d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract 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 traffic flow characteristics across various traffic states, we prop
Externí odkaz:
https://doaj.org/article/95a8cc3043a84fbd977980a54b145542
Autor:
Hanyao Huang, Ou Zheng, Dongdong Wang, Jiayi Yin, Zijin Wang, Shengxuan Ding, Heng Yin, Chuan Xu, Renjie Yang, Qian Zheng, Bing Shi
Publikováno v:
International Journal of Oral Science, Vol 15, Iss 1, Pp 1-13 (2023)
Abstract 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 billions of parameters. LLMs have stirred up much interest among res
Externí odkaz:
https://doaj.org/article/0a9b52338788443f8a27578c40da7e3f
Publikováno v:
Infrastructures, Vol 8, Iss 11, p 156 (2023)
Accurate detection and prediction of the lane-change (LC) processes can help autonomous vehicles better understand their surrounding environment, recognize potential safety hazards, and improve traffic safety. This study focuses on the LC process, us
Externí odkaz:
https://doaj.org/article/4d1bad3bdb894a9b8133ae0652e3d352
