| 研究生: |
張恩瑋 Chang, En-Wei |
|---|---|
| 論文名稱: |
結合行動通訊與車路聯網之階層式架構應用於公車優先通行系統之設計與實作 Design and Implementation of an Integrated Mobile Communication and DSRC Hierarchical Framework for Transit Signal Priority System |
| 指導教授: |
李威勳
Lee, Wei-Hsun |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 電信管理研究所 Institute of Telecommunications Management |
| 論文出版年: | 2021 |
| 畢業學年度: | 109 |
| 語文別: | 中文 |
| 論文頁數: | 78 |
| 中文關鍵詞: | Intelligent Transportation System (ITS) 、Vehicular network 、Transit Signal Priority(TSP) 、5G 、C-V2X 、DSRC |
| 外文關鍵詞: | Intelligent Transportation System (ITS), Vehicular network, Transit Signal Priority(TSP), 5G, C-V2X, DSRC |
| 相關次數: | 點閱:229 下載:0 |
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優先號誌已被視為提升都市公共運輸效率的重要工具,不管在輕軌或是公車都已有許多應用行之有年。不過,在現有公車優先通行研究之中,大多在控制演算法的開發與車流模擬,然而在模擬器中有許多的資訊都是可以直接取得,但是要將演算法應用於實際的情境時將需要解決許多問題與困難,舉凡傳輸通訊、混合車流隨機性與即時運算的需求等等議題。
因此,本研究將提出一結合行動通訊(4G,5G)與車路聯網(DSRC) 之階層式架構的公車優先通行系統,為了讓公車在站牌與站牌之間的停滯時間最小化,本研究結合單路口與多路口號誌控制分別擁有的優勢,將控制目標區分為三個階層,分別透過雲端、路側端以及車側端執行不同的號誌控制策略或是提供駕駛速度建議。本研究所實作之系統設計具有擴充性與可靠性,除了克服從模擬器到現實環境之間所需要處裡的難題外,也兼顧交通工程之合理性,不僅讓公車藉由車載資通訊的方式提供更有效率的運輸,相較於以往的控制方式也減少調整號誌對於整體路網造成的負面衝擊。
Transit signal priority(TSP) have been an important tool for improving the efficiency of urban public transport, and many applications have been in place for years, both on light rail transit (LRT) and on buses. However, in the existing bus priority traffic research, mostly on the control algorithm development and traffic simulation, how-ever, there are lots of information in the simulator can be obtained directly, but to apply the algorithm to the real TSP system will need to solve many problems and difficulties, such as data transmission, stochastic nature of traffic and the need for instant operation and so on.
Therefore, this study will propose a TSP system combining mobile communication (4G, 5G) with road networking dedicated short range communication (DSRC), to minimize the stagnation time between two bus stops, this study combined with the advantages of single intersection and multi- intersection control, the control frame-work is divided into three tiers, respectively, through the cloud, Road-Side-Unit(RSU) and On-Board-Unit(OBU) to implement different control strategy or provide driving speed advisory. The system design has extensibility and reliability, besides overcoming the differences between the simulator and the real environment, but also considering the rationality of traffic engineering, not only to allow buses to provide more efficient transportation, compared with the previous control research also reduce the negative impact of adjustment signals on the overall road network.
林鳳琪(2020)。仰賴私人運具逾八成 交通問題更嚴峻。2020年9月25日,取自:https://www.gvm.com.tw/article/74930
曾靉(2018)。5G 賦予汽車感知能力,開啟車聯網商業模式新局。2020年9月28日,取自:https://technews.tw/2018/04/05/5g-internet-of-vehicle/#_=_
蔡彰盛(2016)。打造智慧交通!竹市試辦「消防救援車輛優先號誌」。2020年10月11日,取自:https://news.ltn.com.tw/news/society/breakingnews/1906851
陳惠國, 邱裕鈞, 朱致遠(2017)。交通工程(2版)。五南圖書出版。
王軒至(2020)。具公車優先通行效果之車路協同式適應性號誌。國立成功大學交通管理科學系碩士論文,台南市,取自: https://hdl.handle.net/11296/f88f9d
Ahmad, I., Noor, R. M., Ali, I., Imran, M., & Vasilakos, A. (2017). Characterizing the role of vehicular cloud computing in road traffic management. International Journal of Distributed Sensor Networks, 13(5).
Bitam, S., Mellouk, A., & Zeadally, S. (2015). VANET-cloud: A generic cloud computing model for vehicular Ad Hoc networks. IEEE Wireless Communications, 22(1), 96-102.
Ekeila, W., Sayed, T., & El Esawey, M. (2009). Development of Dynamic Transit Signal Priority Strategy. Transportation Research Record(2111), 1-9.
Eltoweissy, M., Olariu, S., & Younis, M. (2010, 2010//). Towards Autonomous Vehicular Clouds. Paper presented at the Ad Hoc Networks, Berlin, Heidelberg.
Hu, J., Park, B. B., & Lee, Y. J. (2015). Coordinated transit signal priority supporting transit progression under Connected Vehicle Technology. Transportation Research Part C-Emerging Technologies, 55, 393-408.
Hussain, R., Abbas, F., Son, J., & Oh, H. (2013, 13-16 May 2013). TIaaS: Secure Cloud-assisted Traffic Information Dissemination in Vehicular Ad Hoc Networks. Paper presented at the 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing.
Lee, J., Shalaby, A., Greenough, J., Bowie, M., Hung, S., & Trb. (2005). Advanced transit signal priority control with online microsimulation-based transit prediction model. Freeway Operations, High-Occupancy Vehicle Systems, Traffic Signal Systems, and Regional Transportation Systems Management 2005(1925), 185-194.
Lee, W. H., & Li, J. Y. (2018). An Eco-Driving Advisory System for Continuous Signalized Intersections by Vehicular Ad Hoc Network. Journal of Advanced Transportation.
Long, G. (2005). Start-Up Delays of Queued Vehicles. Transportation Research Record, 1934, 125-131.
Nyambo, B. M., Mavata, G., & Janssens, G. K. (2012). Application of vehicle ad-hoc networks in traffic control systems. Paper presented at the EUROMEDIA 2012 - 17th Annual Scientific Conference on Web Technology, New Media Communications and Telematics Theory Methods, Tools and Applications.
Olariu, S. (2020). A Survey of Vehicular Cloud Research: Trends, Applications and Challenges. Ieee Transactions on Intelligent Transportation Systems, 21(6), 2648-2663.
Seredynski, M., Laskaris, G., & Viti, F. (2020). Analysis of Cooperative Bus Priority at Traffic Signals. Ieee Transactions on Intelligent Transportation Systems, 21(5), 1929-1940.
Truong, L. T., Currie, G., Wallace, M., Gruyter, C. D., & An, K. (2019). Coordinated Transit Signal Priority Model Considering Stochastic Bus Arrival Time. Ieee Transactions on Intelligent Transportation Systems, 20(4), 1269-1277.
Zhang, H., Liang, S., Han, Y., Ma, M., & Leng, R. (2020). A Prediction Model for Bus Arrival Time at Bus Stop Considering Signal Control and Surrounding Traffic Flow. IEEE Access, 8, 127672-127681.