Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Ding, Shengxuan"'
Autor:
Suo, Dajiang, Li, Heyi, Bhattacharyya, Rahul, Wang, Zijin, Ding, Shengxuan, Zheng, Ou, Valderas, Daniel, Melià-Seguí, Joan, Abdel-Aty, Mohamed, Sarma, Sanjay E.
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 infrastructure. With the capability of linking vehicles to RFID reader
Externí odkaz:
http://arxiv.org/abs/2311.00280
Large Language Models (LLMs) have shown remarkable effectiveness in various general-domain natural language processing (NLP) tasks. However, their performance in transportation safety domain tasks has been suboptimal, primarily attributed to the requ
Externí odkaz:
http://arxiv.org/abs/2307.15311
With the continuous improvement of urbanization and motorization, travel demand in historical blocks is higher than before. The contradiction between supply of transportation facilities and environmental protection is more serious. Traditional public
Externí odkaz:
http://arxiv.org/abs/2307.05509
Effective placement of emergency rescue resources, particularly with joint suppliers in complex disaster scenarios, is crucial for ensuring the reliability, efficiency, and quality of emergency rescue activities. However, limited research has conside
Externí odkaz:
http://arxiv.org/abs/2304.07216
Autor:
Ding, Shengxuan, Abdel-Aty, Mohamed, Wang, Dongdong, Barbour, Natalia, Wang, Zijin, Zheng, Ou
Vehicles equipped with automated driving capabilities have shown the potential to improve safety and operations. Advanced driver assistance systems (ADAS) and automated driving systems (ADS) have been widely developed to support vehicular automation.
Externí odkaz:
http://arxiv.org/abs/2303.17788
Autor:
Huang, Hanyao, Zheng, Ou, Wang, Dongdong, Yin, Jiayi, Wang, Zijin, Ding, Shengxuan, Yin, Heng, Xu, Chuan, Yang, Renjie, Zheng, Qian, Shi, Bing
Publikováno v:
Int J Oral Sci. 2023 Jul 28;15(1):29
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 researchers
Externí odkaz:
http://arxiv.org/abs/2304.03086
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 automation systems. However, most of the existing crash data sources
Externí odkaz:
http://arxiv.org/abs/2303.12889
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 propose a fra
Externí odkaz:
http://arxiv.org/abs/2303.16651
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 the development of large language models (LLMs). Next, we exempli
Externí odkaz:
http://arxiv.org/abs/2303.05382
Autor:
Ding, Shengxuan, Abdel-Aty, Mohamed, Barbour, Natalia, Wang, Dongdong, Wang, Zijin, Zheng, Ou
Publikováno v:
In Accident Analysis and Prevention October 2024 206