TransRAG for parallel transportation: toward reliable and trustworthy transportation systems via retrieval-augmented generation
Regular Papers|Updated:2025-03-13
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TransRAG for parallel transportation: toward reliable and trustworthy transportation systems via retrieval-augmented generation
Enhanced Publication
基于检索增强生成的安全可信平行交通框架
“In the field of intelligent traffic management and control, the TransRAG framework, based on retrieval-augmented generation and chain-of-thought prompting, provides solutions to address the complexity of human and social factors in parallel transportation.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 1, Pages: 20-26(2025)
Affiliations:
1.Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
2.John von Neumann Faculty of Informatics, Obuda University, Budapest H-1034, Hungary
3.Faculty of Innovation Engineering, Macau University of Science and Technology, Macao 999078, China
Jing YANG, Xingyuan DAI, Yisheng LV, et al. TransRAG for parallel transportation: toward reliable and trustworthy transportation systems via retrieval-augmented generation[J]. Frontiers of information technology & electronic engineering, 2025, 26(1): 20-26.
DOI:
Jing YANG, Xingyuan DAI, Yisheng LV, et al. TransRAG for parallel transportation: toward reliable and trustworthy transportation systems via retrieval-augmented generation[J]. Frontiers of information technology & electronic engineering, 2025, 26(1): 20-26. DOI: 10.1631/FITEE.2400800.
TransRAG for parallel transportation: toward reliable and trustworthy transportation systems via retrieval-augmented generationEnhanced Publication