本文選題：駕駛?cè)孙L(fēng)險(xiǎn)感知時(shí)間　切入點(diǎn)：應(yīng)急制動(dòng)模型　出處：《湖南大學(xué)》2014年碩士論文

【摘要】：當(dāng)前，駕駛?cè)诵袨檠芯渴鞘鞘澜缰悄芷囈约爸悄芙煌I(lǐng)域的研究熱點(diǎn)，受制于缺乏真實(shí)的事故數(shù)據(jù)，我國相關(guān)研究還停留在起步階段。本文通過對汽車—二輪車碰撞交通事故發(fā)生前駕駛?cè)藨?yīng)急行為的研究，旨在探索駕駛?cè)藨?yīng)急行為與事故風(fēng)險(xiǎn)的關(guān)系。本文以駕駛?cè)孙L(fēng)險(xiǎn)感知時(shí)間為研究對象，研究了人、道路、環(huán)境閉環(huán)系統(tǒng)下駕駛?cè)孙L(fēng)險(xiǎn)感知時(shí)間的影響因素，探討其與二輪車騎車人損傷風(fēng)險(xiǎn)之間的關(guān)系，并建立駕駛?cè)藨?yīng)急制動(dòng)模型。 本文從湖南大學(xué)深入交通事故調(diào)查數(shù)據(jù)庫（IVAC）中選取30例汽車—二輪車碰撞交通事故進(jìn)行PC-Crash及Madymo事故重建，提取駕駛?cè)藨?yīng)急行為表征指標(biāo)。通過對不同交通事故情況下駕駛?cè)孙L(fēng)險(xiǎn)感知時(shí)間的差異，提出駕駛?cè)孙L(fēng)險(xiǎn)感知時(shí)間受道路、時(shí)間、天氣等等因素的影響，但人的主觀因素對其影響不大。此外，研究表明，，駕駛?cè)孙L(fēng)險(xiǎn)感知時(shí)間與駕駛?cè)朔磻?yīng)時(shí)間成線性關(guān)系，因此，以駕駛?cè)孙L(fēng)險(xiǎn)感知時(shí)間作為駕駛?cè)藨?yīng)急行為評價(jià)指標(biāo)具有一定優(yōu)勢，即可以拋開駕駛?cè)说闹饔^因素影響，更好的揭示碰撞交通事故發(fā)生前駕駛?cè)艘幌盗袘?yīng)急行為。 二輪車騎車人損傷風(fēng)險(xiǎn)與車輛速度及駕駛?cè)孙L(fēng)險(xiǎn)感知時(shí)間都存在一定的關(guān)系：車速較低時(shí)，騎車人損傷主要受碰撞角度、倒地方式等影響，此時(shí)車速對其影響不大；車速較高時(shí)，兩者正比例相關(guān)。本文以車速和駕駛?cè)孙L(fēng)險(xiǎn)感知時(shí)間為影響因子建立了二輪車騎車人損傷風(fēng)險(xiǎn)預(yù)測模型。本文還初步探討了基于駕駛?cè)孙L(fēng)險(xiǎn)感知時(shí)間建立駕駛?cè)藨?yīng)急制動(dòng)模型的方法，根據(jù)事故數(shù)據(jù)分析研究了制動(dòng)加速度與風(fēng)險(xiǎn)感知時(shí)間之間的關(guān)系。 研究結(jié)果可以為汽車主動(dòng)安全技術(shù)的開發(fā)與設(shè)計(jì)、駕駛?cè)藨?yīng)急行為干預(yù)及發(fā)展智能交通提供數(shù)據(jù)基礎(chǔ)；也可用于交通事故鑒定與處理，提高交通事故鑒定水平。
[Abstract]:At present, the research of driver's behavior is a hot topic in the field of intelligent automobile and intelligent transportation in the world, which is restricted by the lack of real accident data. The related research in China is still in the initial stage. This paper studies the emergency behavior of the driver before the vehicle-two-wheeled vehicle collision accident. In order to explore the relationship between driver's emergency behavior and accident risk, this paper studies the influencing factors of driver's risk perception time under the closed loop system of man, road and environment, taking the driver's risk perception time as the research object. The relationship between the damage risk and the damage risk of two-wheeled cyclists is discussed, and the driver emergency braking model is established. In this paper, 30 cases of vehicle-two-wheeled vehicle collision accidents are selected from the deep traffic accident investigation database of Hunan University to reconstruct the PC-Crash and Madymo accidents. Based on the difference of drivers' risk perception time in different traffic accidents, it is proposed that the driver's risk perception time is affected by road, time, weather and other factors. But subjective factors have little effect on it. In addition, studies have shown that the driver's risk perception time has a linear relationship with the driver's response time, so, Taking the risk perception time of the driver as the evaluation index of the driver's emergency behavior has some advantages, that is, the subjective factors of the driver can be set aside and a series of emergency behaviors of the driver before the collision accident can be better revealed. There is a certain relationship between the injury risk of two-wheeled cyclists and the speed of the vehicle and the perceived time of the driver's risk: when the speed is low, the injury of the cyclist is mainly affected by the impact angle, the way of falling ground, and so on, at this time, the speed has little effect on it; When the speed is high, In this paper, a two-wheeled cyclists' injury risk prediction model is established based on vehicle speed and driver's risk perception time. This paper also discusses the establishment of driver's risk perception time based on driver's risk perception. The method of emergency braking model, According to the accident data, the relationship between braking acceleration and risk perception time is studied. The results can provide the data basis for the development and design of active safety technology, the intervention of driver's emergency behavior and the development of intelligent transportation, and can also be used to identify and deal with traffic accidents and improve the level of traffic accident identification.
【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.25

【參考文獻(xiàn)】

相關(guān)期刊論文 前5條

1 朱為國;;汽車制動(dòng)過程時(shí)間的分析[J];北京汽車;2006年02期

2 胡孟夏;王巖;李一兵;蘭喬;;駕駛模擬在交通事故致因理論體系中的應(yīng)用研究[J];交通運(yùn)輸工程與信息學(xué)報(bào);2011年02期

3 袁華東;;駕駛?cè)嘶诟兄袛喾磻?yīng)錯(cuò)誤引發(fā)的事故分析[J];遼寧警專學(xué)報(bào);2011年05期

4 王國林;魯硯;;人車碰撞事故仿真與行人保護(hù)研究[J];汽車工程;2009年01期

5 鞏建強(qiáng);魏朗;商建偉;;車輛駕駛?cè)耸鹿是安僮餍袨槟Ｊ絒J];長安大學(xué)學(xué)報(bào)(自然科學(xué)版);2012年02期

本文編號：1671681