隨著交通、旅行與移動時代的改變再加上E化世界日漸普及，越來越多國家的交通政策都已逐漸轉型與創新，因此本研究為探討台灣智慧交通創新政策，首先透過大量國內外論文、期刊、報章雜誌、網路媒體與各國智慧交通創新政策等文獻，再搭配創新擴散理論歸納出本研究之六大構面，分別為車聯網、智慧交通安全、交通管理系統、智慧基礎運輸科技、運輸資源整合共享、交通數據收集與三十二項準則。
本研究結合AHP及DEMATEL兩種研究方法進行分析台灣智慧交通創新政策中之構面間與準則間的權重值、關聯程度與影響程度，並藉由兩者之研究結果判斷出長短期優先發展之智慧交通創新政策，因此本研究設計了AHP及DEMATEL兩項問卷給具有交通、運輸、地理、環境工程、AI、IOT等背景之15位專家進行填答，分別在政府界、學術界、產業界及財團法人，因此本研究專家為具有交通相關背景且分佈在不同工作場域將使本研究結果更具完整與代表性。
本研究結果發現在智慧交通創新政策之六大構面中，若從短期重要程度來看，重要程度最高者為智慧交通安全應為優先發展之創新政策，但是就長期影響層面來看，交通數據收集為首要發展之創新政策，車聯網為次要發展之創新政策，而運輸資源整合共享為最後再發展之創新政策，因此本研究也將每一項構面下之準則進行優先發展順序之結果判斷，提供給台灣未來在智慧交通創新政策的擬定上做重要參考指標與選擇。

With the advancements of transportation, the transformation of traveling and mobility in a digital world, there are more and more countries commit to an innovative transportation policy reform. Hence this research attempts to explore the smart transportation policy in Taiwan. It begins with a literature review including foreign and domestic research, journals, newspapers, magazines and online media coverage regarding the transportation policies of other countries. Furthermore, with Diffusion of Innovation Theory, the research results can be concluded into six major facets： Internet of Vehicles, smart transportation safety, transportation management system, smart transportation technology infrastructure, transportation resources integration and sharing, transportation data collecting and 32 other principles.
This research combines both AHP and DEMATEL research methods to analyze smart transportation policy in Taiwan by the weight value, degree of association and degree of impact between facets and between criteria. The results help to determine the priority of framing both long-term and short-term smart transportation policy. Additionally, my research design AHP and DEMATEL questionnaires are distributed to 15 experts specializing in transportation, logistics, geography, environmental engineering, AI and IoT. In consideration of making the research results more complete and representative, my research experts are transportation professionals working from different fields such as government, academia, industry and foundations.
The research indicates that, under the six major facets of framing smart transportation policy, smart transportation safety should be the top priority in the short-term development. However, in terms of long-term impact, transportation data collecting ranks as the top priority, while Internet of Vehicles development as the second and transportation resources integration and sharing as the least urgent innovation policy. Finally, this research also analyzes the priorities development sequence of each criterion under every facet, in the hope of providing a referential indicator when Taiwan aims to frame smart transportation policy in the future.

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