基于智能手機(jī)的公交運(yùn)行舒適性測(cè)度指標(biāo)研究
發(fā)布時(shí)間:2018-01-09 14:32
本文關(guān)鍵詞:基于智能手機(jī)的公交運(yùn)行舒適性測(cè)度指標(biāo)研究 出處:《同濟(jì)大學(xué)學(xué)報(bào)(自然科學(xué)版)》2017年08期 論文類型:期刊論文
更多相關(guān)文章: 公交舒適性指標(biāo) 智能手機(jī) 主成分法 傅立葉變換 Logit回歸
【摘要】:為量化分析公共汽車運(yùn)行過程中行駛平順性以及車體振動(dòng)狀態(tài)對(duì)乘車舒適性的影響.以智能手機(jī)作為數(shù)據(jù)采集終端,通過對(duì)速度、經(jīng)緯度數(shù)據(jù)的統(tǒng)計(jì)分析構(gòu)建表征平順性的多維變量,并以主成分分析法降維獲得平順舒適性指標(biāo);另一方面,通過對(duì)高頻采集的加速度數(shù)據(jù)進(jìn)行傅氏變換構(gòu)建振動(dòng)舒適性指標(biāo).該研究彌補(bǔ)了以往研究中忽略車輛運(yùn)行狀態(tài)對(duì)舒適性影響的不足.通過多項(xiàng)Logit回歸法分析調(diào)查數(shù)據(jù)表明,該研究基于智能手機(jī)采集數(shù)據(jù)所構(gòu)建的舒適性測(cè)度指標(biāo)值能客觀反映乘客對(duì)公交運(yùn)行狀態(tài)的舒適性主觀感知.
[Abstract]:In order to analyze quantitatively the influence of ride comfort and the vibration state of the car body on the ride comfort during the running of the bus, the smart phone is used as the data acquisition terminal and the speed pair is adopted. The statistical analysis of longitude and latitude data is used to construct the multi-dimensional variable to characterize the ride comfort, and the principal component analysis (PCA) is used to reduce the dimension to obtain the comfort index. On the other hand. The vibration comfort index is constructed by Fourier transform to the acceleration data collected at high frequency. This study makes up for the deficiency of neglecting the influence of the vehicle running state on the comfort in the previous research. The multiple Logit regression method is used to construct the vibration comfort index. Analysis of survey data suggests. Based on the data collected by smart phone, the comfort measure index can objectively reflect the subjective perception of passengers' comfort to the running state of public transportation.
【作者單位】: 同濟(jì)大學(xué)道路與交通工程教育部重點(diǎn)實(shí)驗(yàn)室;同濟(jì)大學(xué)交通運(yùn)輸工程學(xué)院;
【基金】:國家自然科學(xué)基金(2012AA112306)
【分類號(hào)】:U491.17
【正文快照】: 優(yōu)先發(fā)展城市公共交通,改善公共汽車服務(wù)質(zhì)量是吸引乘客乘坐公共交通出行,緩解交通擁堵的重要途徑.然而,我國大部分城市公交出行分擔(dān)率只在10%左右,特大城市大約能達(dá)到20%,但是比率依然很低.公交分擔(dān)率一直無法提高的主要原因在于服務(wù)水平低,難以滿足乘客需求.因此,量化評(píng)價(jià)公,
本文編號(hào):1401810
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