為充分瞻望類神經網路未來發展課題，吾人必須先深入了解目前在交通領域之研發實況，以此為基礎，進一步規劃後續重點要項。本文著眼於此，乃仔細蒐集團內交通運輸界近十年來與類神經網路相關之論文、報告等資料，並加以有系統分類整理，評析其研究與應用特性，彙整成詳盡之評論論文。評析項目色括類神經網路模式、數據來源、問題規模、實務或研究課題、交通問題分類、績妓評估、演算法、應用程序、電腦軟、硬體應用等。經由對國內進展實況之回顧分析，並與國外先進研究對比，本研究將對國內應用類神經網路於交通運輸領域之發展方向與潛力提出見解，供給相關人員參考。

During the past few years, the artificial neural network approach has been quite attractive for various transportation problems. A fair number of reports are available in the literature. However, no thorough assessment has been done to examine their usefulness in the domestic transportation context. This study aims at extensively collecting, reviewing and categorizing related reports conducted by domestic researchers. The resulting assessment provides, comprehensive information of current conditions on neural network applications to the transportation fields. Based upon this article, it is possible to further evaluate the feasibility of field implementation of neural network models. Future research on neural networks in the transportation areas may as well be sensibly arranged.