汽車是十九世紀第二次工業革命的重要發明，對人類的交通及城市發展影響深遠。近年來由於電動車、自駕車與智慧城市的蓬勃發展，汽車成為產業中的焦點，帶動企業加大研發投資，帶動經濟發展，使得車聯網又再度成為熱門的話題。過往因通訊技術尚未成熟，車聯網的應用將遇到高速移動、資料可靠度、資料傳輸及時性等問題。但隨著5G網路標準制定將汽車的使用環境納入考量，這些挑戰已一一被克服，迎刃而解，5G也成為達成車聯網應用的關鍵助力。
本研究參考美國運輸部提出的車聯網通訊協定標準，依據台灣的道路環境，共列出15項創新應用。為讓本研究具有專業性，邀請多位國內車聯網相關產業的專家，針對此15項創新應用提出對未來趨勢的看法。然後利用德爾菲法進行歸納分析，找出具有共識的項目。最後，提出個人對產業及政府的建議，以幫助車聯網應用能夠盡早在台灣落地服務，除打造更安全的道路交通環境，也幫助國內企業掌握先機，創造價值，在國際上居於領先地位。

The automobile is an important invention of the Second Industrial Revolution in the 19th century, which has profound influence on human transportation and urban development. In recent years, due to the vigorous development of electric vehicles, autonomous vehicles, and smart cities, the automobile has become the focus of the industry, driving enterprises to increase investment in Research and Development (R&D), stimulate economic development, and making Vehicle-to-everything (V2X) a hot topic again. In the past, the application of V2X encountered problems such as high-speed mobility, data reliability, and real-time data transmission due to immature communication technologies. However, with the development of 5G standards considering the automotive usage environment, these challenges have been successfully overcome, and 5G has become a key enabler for the applications of V2X.
This study has proposed 15 innovative applications in accordance with road environment in Taiwan, referring to V2X communication protocol standards proposed by the United States Department of Transportation (USDOT). The research has invited several domestic experts from V2X industry to give views on future trends in these 15 innovative applications, used the Delphi Method for inductive analysis, and incorporated personal suggestions for the beneficiaries. This study is expected to boost V2X development in Taiwan and aid domestic companies to seize relevant business opportunities.

摘要 i
Abstract ii
致謝辭 iii
目 錄 iv
圖目錄 vi
表目錄 vii
第一章 緒論 1
第一節、 研究背景與動機 1
第二節、 研究問題與目的 2
第三節、 研究流程 3
第四節、 研究流程與架構 3
第二章 文獻回顧 5
第一節、 技術預測 5
第二節、 技術地圖 8
第三章 研究方法 14
第一節、 車聯網現況發展-各國V2X發展情形 14
第二節、 德爾菲法執行準則 16
第三節、 問卷項目來源 17
第四節、 受試專家來源 19
第四章 資料分析與研究結果 21
第一節、 車聯網發展回顧 21
4.1.1 DSRC系統 21
4.1.2 CV2X系統 23
第二節、 德爾菲法資料分析 26
第五章 建議與結論 30
第一節、 結論 30
第二節、 建議 32
參考文獻 33
中文部分 33
英文部分 34
附錄 36

沈怡如 (2021). 自駕車隊列行駛技術發展現況. 機械工業雜誌, 454) 62-66.
林祈昱 (2020). 國際發展物聯網之政策措施對台灣的借鏡. 臺灣經濟研究月刊, 43(2), 49-58.
林茂文 (2020). 全球電動車發展之挑戰與契機. 石油季刊, 56(1), 1-28.
徐志偉 & 趙永晟 (2020). 自駕車車聯網通訊與號誌編解碼技術剖析. 電腦與通訊, 183, 10-15.
徐志偉 (2019). C-V2X與自駕車結合之應用. 電腦與通訊. 183.
陳依屏 & 楊至善 (2021). 日本車載資通訊安全法制之研析-以 2019 年《 道路運輸車輛法》 修正為中心. 科技法律透析, 33(12), 29-46.
陳箴 (2022). 車聯網資料與隱私保護－歐盟聯網車個資法遵指引. 科技法律透析, 34(6), 27-34.
黃佳寗 (2020). 融合應用新模式: 區塊鏈於車聯網之應用. 經濟前瞻, 192, 94-99.
賴威霖 (2021). 全面整合人、車、路資訊 車聯網創新應用勾勒未來車面貌. DIGITIMES.
儲韶廷 & 張朝曦 (2020). 5G 車用雷達即時車況辨識系統架構與應用. 電工通訊季刊, 16-23.
薛毓弘 & 胡振煇 (2021). C-V2X 技術於自動駕駛車輛隊列應用. 機械工業雜誌, 457, 97-104.
Abboud, K., Omar, H. A., & Zhuang, W. (2016). Interworking of DSRC and cellular network technologies for V2X communications: A survey. IEEE Transactions on Vehicular Technology, 65(12), 9457-9470.
Carvalho, M. M., Fleury, A., & Lopes, A. P. (2013). An overview of the literature on technology roadmapping (TRM): Contributions and trends. Technological Forecasting and Social Change, 80(7), 1418-1437.
Chen, S., Hu, J., Shi, Y., & Zhao, L. (2016). LTE-V: A TD-LTE-based V2X solution for future vehicular network. IEEE Internet of Things Journal, 3(6), 997-1005.
Chen, S., Hu, J., Shi, Y., Peng, Y., Fang, J., Zhao, R., & Zhao, L. (2017). Vehicle-to-everything (V2X) services supported by LTE-based systems and 5G. IEEE Communications Standards Magazine, 1(2), 70-76.
Firat, A. K., Woon, W. L., & Madnick, S. (2008). Technological forecasting–A review. Composite Information Systems Laboratory (CISL), Massachusetts Institute of Technology, 1-19.
Garcia, M. H. C., Molina-Galan, A., Boban, M., Gozalvez, J., Coll-Perales, B., Şahin, T., & Kousaridas, A. (2021). A tutorial on 5G NR V2X communications. IEEE Communications Surveys & Tutorials, 23(3), 1972-202
Ghosh, A., Maeder, A., Baker, M., & Chandramouli, D. (2019). 5G evolution: A view on 5G cellular technology beyond 3GPP release 15. IEEE Access, 7, 127639-127651.
Hasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of Advanced Nursing, 32(4), 1008-1015.
Lee, J. H., Phaal, R., & Lee, S. H. (2013). An integrated service-device-technology roadmap for smart city development. Technological Forecasting and Social Change, 80(2), 286-306.
MacHardy, Z., Khan, A., Obana, K., & Iwashina, S. (2018). V2X access technologies: Regulation, research, and remaining challenges. IEEE Communications Surveys & Tutorials, 20(3), 1858-1877.
Phaal, R., Farrukh, C. J., & Probert, D. R. (2004). Technology roadmapping—A planning framework for evolution and revolution. Technological Forecasting and Social Change, 71(1-2), 5-26.
Pokhrel, S. R., Wu, T. C., & Wu, W. W. (2020). On Communication and Networking Challenges of Autonomous Vehicles. East Asia Forum, 507, 1-19.
Rowe, G., & Wright, G. (1999). The Delphi technique as a forecasting tool: issues and analysis. International Journal of Forecasting, 15(4), 353-375.
Seo, H., Lee, K. D., Yasukawa, S., Peng, Y., & Sartori, P. (2016). LTE evolution for vehicle-to-everything services. IEEE cCommunications magazine, 54(6), 22-28.
Von Der Gracht, H. A. (2012). Consensus measurement in Delphi studies: review and implications for future quality assurance. Technological Forecasting and Social Change, 79(8), 1525-1536.
Zhou, H., Xu, W., Chen, J., & Wang, W. (2020). Evolutionary V2X technologies toward the Internet of vehicles: Challenges and opportunities. Proceedings of the IEEE, 108(2), 308-323.