本文關(guān)鍵詞： 車路協(xié)同 追尾預(yù)警 安全距離 誤差補(bǔ)償　出處：《長安大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

【摘要】：道路交通安全問題一直是社會關(guān)注的重點,與其相關(guān)的先進(jìn)安全技術(shù)研究日益受到重視�；谲嚶穮f(xié)同安全輔助技術(shù)是智能交通中的一項重要研究內(nèi)容,可以使駕駛?cè)藛T在超視距范圍內(nèi)獲得其他車輛的行駛信息和路況信息。本文以基于車路協(xié)同的車輛追尾預(yù)警系統(tǒng)為研究對象,對實現(xiàn)基于車路協(xié)同的車輛追尾預(yù)警系統(tǒng)功能所涉及的安全距離模型、無線通信方法、系統(tǒng)平臺開發(fā)等進(jìn)行了研究,設(shè)計實現(xiàn)了基于車路協(xié)同的車輛追尾預(yù)警系統(tǒng)。本文在分析車路協(xié)同系統(tǒng)和安全距離模型的國內(nèi)外研究現(xiàn)狀的基礎(chǔ)上,對基于車路協(xié)同的安全距離模型進(jìn)行了深入的研究。首先,深入分析了車車、車路通信中信息傳播的特點,研究了車路協(xié)同追尾預(yù)警系統(tǒng)中信息傳輸延時的成因,建立了追尾預(yù)警系統(tǒng)的信息傳輸延時模型。其次,針對安全距離受路面狀況、GPS誤差和信息傳播延時影響的問題,本文在傳統(tǒng)運(yùn)動學(xué)模型的基礎(chǔ)上提出了一種多源混合誤差補(bǔ)償?shù)淖钚“踩嚯x模型,通過仿真驗證了模型的有效性。本文對追尾預(yù)警系統(tǒng)架構(gòu)進(jìn)行了研究,搭建了基于DSRC通信技術(shù)的車路協(xié)同追尾預(yù)警系統(tǒng),開發(fā)了Linux環(huán)境下的交互軟件和Android環(huán)境下的追尾預(yù)警軟件。在真實車路協(xié)同場景下,利用該系統(tǒng)對本文設(shè)計的最小安全距離模型的有效性進(jìn)行了測試,并對車輛在不同行駛狀態(tài)下系統(tǒng)追尾預(yù)警的準(zhǔn)確性進(jìn)行了測試。測試結(jié)果表明,在前車靜止、勻減速和以最大減速度減速三種情況下,多源混合誤差補(bǔ)償?shù)淖钚“踩嚯x模型計算的安全距離相對于車路協(xié)同環(huán)境下車輛緊急制動距離的平均誤差為0.97米�；谲嚶穮f(xié)同的追尾預(yù)警系統(tǒng)的平均誤報警率為3%,滿足實際需求。
[Abstract]:The problem of road traffic safety has always been the focus of attention of the society, and the research of advanced safety technology related to it has been paid more and more attention. It is an important research content of intelligent transportation based on vehicle-road cooperative safety assistance technology. The driver can obtain the driving information and road condition information of other vehicles within the range of over-the-horizon. This paper takes the vehicle rear-end warning system based on vehicle-road coordination as the research object. The security distance model, wireless communication method, system platform development and so on, which are involved in realizing the function of vehicle rear-end early warning system based on vehicle-road coordination are studied. A vehicle rear warning system based on vehicle-road coordination is designed and implemented. This paper analyzes the research status of vehicle-road coordination system and safety distance model at home and abroad. The safety distance model based on vehicle-road cooperation is deeply studied. Firstly, the characteristics of information transmission in vehicle-road communication are analyzed. This paper studies the cause of information transmission delay in the vehicle road cooperative rear-end early warning system, and establishes the information transmission delay model of the rear-end warning system. Secondly, according to the road condition of safety distance. On the basis of the traditional kinematics model, this paper presents a minimum safe distance model with multi-source mixed error compensation for the influence of GPS error and information propagation delay. The effectiveness of the model is verified by simulation. This paper studies the framework of the rear-end early warning system and builds a vehicle-road cooperative rear-end early warning system based on DSRC communication technology. The interactive software in Linux environment and the rear-end warning software in Android environment are developed. The validity of the minimum safe distance model designed in this paper is tested by this system, and the accuracy of the system rear-end warning is tested under different driving conditions. The test results show that the vehicle is stationary in front of the vehicle. Even deceleration and deceleration with maximum deceleration in three cases. The average error of the safety distance calculated by the minimum safety distance model with multi-source hybrid error compensation is 0.97 meters relative to the vehicle emergency braking distance in the vehicle-road cooperative environment. The average error of the rear-end early warning system based on the vehicle-road coordination is 0.97 meters. The false alarm rate is 3%. Meet the actual needs.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：U463.6;TP277

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