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基于DSRC車(chē)載通信的車(chē)輛防撞預(yù)警研究

發(fā)布時(shí)間:2018-11-24 09:24
【摘要】:近年來(lái)隨著車(chē)輛的增多,交通事故愈發(fā)增多,如何解決交通安全問(wèn)題成為具有現(xiàn)實(shí)意義的課題。伴隨智能交通技術(shù)的不斷成熟,車(chē)輛間通過(guò)信息交互實(shí)現(xiàn)車(chē)輛防撞預(yù)警,可以保證安全駕駛及減少交通事故。因此,本文設(shè)計(jì)了一個(gè)基于DSRC的車(chē)載通信預(yù)警系統(tǒng),通過(guò)獲取車(chē)輛間的狀態(tài)信息進(jìn)行車(chē)輛防撞算法處理,將存在的危險(xiǎn)信息傳遞給駕駛員。本文首先是DSRC車(chē)載通信預(yù)警系統(tǒng)的設(shè)計(jì),系統(tǒng)包含車(chē)載設(shè)備和應(yīng)用層模塊。車(chē)載設(shè)備通過(guò)組合定位模塊獲取自車(chē)的高精度定位信息,通過(guò)DSRC模塊與鄰車(chē)定位信息進(jìn)行交互,以及通過(guò)車(chē)內(nèi)局域網(wǎng)實(shí)現(xiàn)與應(yīng)用層模塊相連。接著應(yīng)用層模塊通過(guò)Android系統(tǒng)設(shè)計(jì)實(shí)現(xiàn)車(chē)輛防撞預(yù)警功能,包括數(shù)據(jù)采集及處理、預(yù)警信息顯示。然后著重研究了車(chē)輛防撞預(yù)警算法,在原有的安全時(shí)間算法TTC的基礎(chǔ)上,提出基于不同車(chē)速對(duì)應(yīng)不同的安全預(yù)警時(shí)間閾值,實(shí)現(xiàn)合適預(yù)警時(shí)機(jī)。最后進(jìn)行系統(tǒng)搭建和實(shí)車(chē)實(shí)驗(yàn),包括DSRC性能、定位性能及車(chē)輛防撞預(yù)警算法性能的測(cè)試。實(shí)驗(yàn)結(jié)果表明,本文設(shè)計(jì)的DSRC車(chē)載通信預(yù)警系統(tǒng)是可行的和合理的,可以很好實(shí)現(xiàn)車(chē)輛防撞預(yù)警功能。本文將DSRC用于車(chē)載通信可以實(shí)時(shí)交互車(chē)輛間的信息,通過(guò)改進(jìn)的車(chē)輛防撞預(yù)警算法進(jìn)行處理,具有很好的實(shí)用性和創(chuàng)新性,對(duì)于輔助交通安全駕駛具有重大意義。本文完成的主要內(nèi)容包括:1.DSRC車(chē)載通信預(yù)警系統(tǒng)的設(shè)計(jì);2.基于Android的預(yù)警系統(tǒng)應(yīng)用模塊的設(shè)計(jì);3.改進(jìn)的車(chē)輛防撞預(yù)警算法的設(shè)計(jì);4.通過(guò)實(shí)車(chē)實(shí)驗(yàn),對(duì)DSRC性能、定位性能以及車(chē)輛防撞預(yù)警算法進(jìn)行測(cè)試,并對(duì)測(cè)試結(jié)果進(jìn)行分析及結(jié)論。
[Abstract]:In recent years, with the increasing number of vehicles and traffic accidents, how to solve the problem of traffic safety has become a topic of practical significance. With the development of intelligent transportation technology, vehicle collision prevention and warning can be realized through information exchange between vehicles, which can ensure safe driving and reduce traffic accidents. Therefore, a vehicle communication early warning system based on DSRC is designed in this paper. The vehicle collision prevention algorithm is processed by obtaining the state information between vehicles, and the dangerous information is transmitted to the driver. The first part of this paper is the design of DSRC vehicle communication warning system, which includes vehicle equipment and application layer module. The vehicle equipment acquires the high-precision positioning information of the vehicle through the combined positioning module, interacts with the location information of the adjacent vehicle through the DSRC module, and connects with the application layer module through the LAN inside the vehicle. Then the application module realizes the anti-collision warning function of vehicle through Android system, including data acquisition and processing, early warning information display. Then the vehicle collision warning algorithm is studied. Based on the original safety time algorithm (TTC), a new method is proposed, which is based on different vehicle speed corresponding to different safety warning time threshold to realize the appropriate early warning time. Finally, the system is built and the real vehicle experiments are carried out, including the performance of DSRC, positioning performance and vehicle anti-collision warning algorithm performance test. The experimental results show that the DSRC vehicle communication early warning system designed in this paper is feasible and reasonable, and it can realize the anti-collision warning function of the vehicle very well. In this paper, the application of DSRC in vehicle communication can exchange the information between vehicles in real time. The improved anti-collision warning algorithm is very practical and innovative. It is of great significance to assist traffic safety driving. The main contents of this paper include: the design of 1.DSRC vehicle communication warning system; 2. Design of application module of early warning system based on Android; 3. The design of the improved vehicle collision warning algorithm; 4. The performance of DSRC, positioning performance and vehicle anti-collision warning algorithm are tested through real vehicle experiments, and the test results are analyzed and concluded.
【學(xué)位授予單位】:江蘇科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:U463.6;TP277

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