發(fā)布時(shí)間：2018-10-14 19:10

【摘要】：改革開放以來,我國的國民經(jīng)濟(jì)發(fā)生了翻天覆地的變化,尤其是在城市建設(shè)方面,城市交通成為影響大中城市發(fā)展的關(guān)鍵因素。如今,隨著城市汽車的擁有量日益增多,城市汽車化速度迅速發(fā)展,導(dǎo)致城市中出現(xiàn)了許多阻礙城市發(fā)展的問題,諸如交通擁堵、能源匱乏、環(huán)境污染愈演愈烈以及交通事故頻繁發(fā)生等。如何提高城市交通資源的利用率成為解決上述城市交通問題的關(guān)鍵。鑒于城市公共交通與小汽車相比具有客運(yùn)量大、投資相對(duì)少、資源占用率小、運(yùn)營效率高、污染較少、人均占道少等優(yōu)勢,加大城市公共交通發(fā)展力度,達(dá)到城市交通管理的數(shù)字化和智能化的目標(biāo),并提高公共交通運(yùn)營管理效率及社會(huì)服務(wù)水平成為改善城市交通的必經(jīng)之路。本文旨在基于多傳感器陣列踏板獲取公交乘客的客流量數(shù)據(jù),分析了公交車乘客上下車腳型變化規(guī)律,獲取了傳感器采集數(shù)據(jù)的特征,提出了基于腳型輪廓的客流數(shù)據(jù)判斷準(zhǔn)則,通過人體運(yùn)動(dòng)學(xué)原理進(jìn)行上下車方向識(shí)別,并采用BP神經(jīng)網(wǎng)絡(luò)算法對(duì)原始數(shù)據(jù)進(jìn)行預(yù)處理和智能識(shí)別,計(jì)算公交乘客上下車數(shù)量。文章對(duì)系統(tǒng)的硬件設(shè)計(jì)和識(shí)別軟件算法的實(shí)現(xiàn)方法作了詳盡闡述。最后對(duì)算法作了系統(tǒng)測試,準(zhǔn)確率達(dá)到93%,具有很強(qiáng)的可靠性。
[Abstract]:Since the reform and opening up, the national economy of our country has undergone earth-shaking changes, especially in the aspect of urban construction, urban traffic has become a key factor affecting the development of large and medium-sized cities. Nowadays, with the increasing number of cars in cities and the rapid development of urban motorization, there are many problems that hinder the development of cities, such as traffic congestion and lack of energy. Environmental pollution is becoming more and more serious and traffic accidents occur frequently. How to improve the utilization rate of urban traffic resources becomes the key to solve the above urban traffic problems. In view of the fact that urban public transport has the advantages of large passenger traffic, relatively low investment, low utilization of resources, high operational efficiency, less pollution, less per capita traffic, and so on, the development of urban public transport should be strengthened. To achieve the goal of digitalization and intelligence of urban traffic management, and to improve the efficiency of public transportation management and the level of social service become the only way to improve urban traffic. The purpose of this paper is to obtain the passenger flow data of bus passengers based on multi-sensor array pedal, analyze the changing law of bus passengers' getting on and off feet, and obtain the characteristics of the data collected by the sensors. This paper presents a criterion for judging passenger flow data based on the profile of foot, and uses the principle of human kinematics to recognize the direction of boarding and disembarking, and uses BP neural network algorithm to preprocess and intelligently recognize the original data, and calculates the number of passengers on and off bus. In this paper, the hardware design of the system and the realization of recognition software algorithm are described in detail. Finally, the algorithm is tested systematically, and the accuracy is 93%, which has strong reliability.
【學(xué)位授予單位】：中國民航大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U491.17;TP391.4;TP183

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