政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/141638

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/141638

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政大典藏 > College of Informatics > Department of Computer Science > Theses > Item 140.119/141638

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/141638

Title:	基於共識協議之車輛協同碰撞預警機制 Vehicle Collaborative Collision Warning Based on Consensus Protocol
Authors:	許育誠 Hsu, Yu-Cheng
Contributors:	張宏慶 Jang, Hung-Chin 許育誠 Hsu, Yu-Cheng
Keywords:	共識協議廣播風暴弱勢用路人碰撞潛勢區碰撞預警 Consensus protocol Broadcast radiation Vulnerable road users Collision potential zones Collision warning
Date:	2022
Issue Date:	2022-09-02 15:04:52 (UTC+8)
Abstract:	近年來，先進駕駛輔助系統及車聯網陸續被提出，這些新技術也重新定義駕駛新篇章。但這一類的技術也並非完全下放至機車、腳踏車等兩輪運輸工具，也未必以行人角度來提供安全防護。特別在人口稠密的台灣，錯綜複雜的省、縣道，加上台灣大宗民眾使用機車與特殊的用路特性，讓馬路如虎口的隱憂一直深植人心。本研究欲強化搭載各項輔助系統的汽車預警能力外，在給出一套主動式碰撞預警機制提供弱勢用路人使用。試圖修改較具安全性的恆星共識協議框架，分享汽車傳感器偵測到的空間認知，讓所有用路人有一致性的共識。然後，利用車輛及智慧行動裝置的邊緣運算，檢測是否有發生碰撞的可能性，進而改善用弱勢路人缺乏先進駕駛輔助系統的缺陷。為了驗證機制成效是否有達預期目標，本研究採用Matlab & Simulink進行數值模擬，驗證提出機制是否可以充分反映複雜交通。從實驗結果證明能縮小定位誤差，以滿足車道級定位的要求。最後，也以經濟性角度評判所提出機制的市場接受度，善用既有設備和著眼于軟體開發，確實符合大眾需求。 In recent years, advanced driver assistance systems and the Internet of Vehicles have been proposed, and these new technologies have also redefined a new era of driving. However, this type of technology does not well consider two-wheeled vehicles such as locomotives and bicycles, nor does it provide safety protection from the perspective of pedestrians. Especially in densely populated Taiwan, the intricate provincial and county roads, coupled with the locomotives and special driving characteristics used by many people in Taiwan, traffic safety issues have always been a concern for passersby. This study intends to strengthen the early warning capability of vehicles equipped with various auxiliary systems and provides a set of active collision early warning mechanisms for vulnerable pedestrians to use. We try to modify the more secure Stellar consensus protocol to share the spatial cognition detected by vehicle sensors so that all passersby can have a consistent consensus. Then, the edge computing of vehicles and smart mobile devices is used to detect whether there is a possibility of a collision, thereby improving the problem of the lack of advanced driving assistance systems for passersby. In order to verify whether the proposed method can effectively achieve the expected goal, this study uses Matlab & Simulink for numerical simulation to verify whether the proposed method can comprehensively reflect the complex traffic problems. The experimental results show that the proposed method can reduce the positioning error and meet the requirements of lane-level positioning. Finally, the market acceptance of the proposed method is evaluated from an economic point of view to ensure that the use of existing equipment and focus on software development can meet the public`s needs.
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Description:	碩士國立政治大學資訊科學系 107753001
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0107753001
Data Type:	thesis
DOI:	10.6814/NCCU202201384
Appears in Collections:	[Department of Computer Science ] Theses

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