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Official PDF TranslationFrontiers of Information Technology & Electronic Engineering

TransRAG for parallel transportation: toward reliable and trustworthy transportation systems via retrieval-augmented generation

Authors: Jing Yang; Xingyuan Dai; Yisheng Lv; Levente Kovács; Fei-Yue Wang

DOI: 10.1631/FITEE_2400800Status: Verified Translated Edition
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Key Findings in This Report

• TransRAG integrates retrieval-augmented generation and chain-of-thought prompting to mitigate hallucinations and black-box issues in foundational models for parallel transportation. • A three-layer architecture (storage, management, execution) enables personalized, diverse, and adaptive traffic services in dynamic environments. • Continuous real-virtual interaction optimizes decisions and incrementally updates knowledge, enhancing system reliability and trustworthiness. • Integration of blockchain, smart contracts, and caching addresses critical challenges (e.g., single point of failure, privacy breaches, data access delays), advancing the transition to 6S Transportation 5.0.