本文選題：浮動車 + 信號配時(shí)參數(shù)估計(jì)��； 參考：《重慶大學(xué)》2014年碩士論文

【摘要】：車輛通過信號交叉口時(shí)通常會經(jīng)歷一定的延誤，對車輛在信號交叉延誤時(shí)間的有效估計(jì)對于交通管理、公交調(diào)度、信號燈配時(shí)參數(shù)優(yōu)化以及出行者的路徑選擇等都具有重要的意義。但是由于檢測手段、技術(shù)條件等限制，，尚缺乏操作性較強(qiáng)的信號配時(shí)參數(shù)估計(jì)方法以及信號交叉口單車延誤時(shí)間模型的分析方法。 信號交叉口的單車延誤時(shí)間與信號配時(shí)參數(shù)以及車輛的減速停車的位置有關(guān)，針對上述問題本文首先考慮到浮動車GPS數(shù)據(jù)的特點(diǎn)和便利性，通過深入分析車隊(duì)經(jīng)過信號交叉口的延誤特性，得到車隊(duì)的延誤模式的描述，并在此基礎(chǔ)上，研究了交叉口信號配時(shí)參數(shù)的估計(jì)方法。最后，在深入分析單車停車延誤時(shí)間與停車位置關(guān)系的基礎(chǔ)上，利用信號配時(shí)參數(shù)估計(jì)結(jié)果，考慮到異常數(shù)據(jù)的影響，采用穩(wěn)健回歸估計(jì)，建立了單車停車延誤時(shí)間與停車位置的關(guān)系模型。研究工作主要包括以下三方面內(nèi)容： 首先，研究了基于GPS數(shù)據(jù)的單車停車延誤數(shù)據(jù)獲取方法，針對傳統(tǒng)減速點(diǎn)法不能判斷車輛多次停車的情況，做出了相應(yīng)的改進(jìn)。利用相鄰兩個(gè)GPS數(shù)據(jù)點(diǎn)的平均間距（平均速度）判斷車輛的關(guān)鍵位置點(diǎn)，進(jìn)而獲取車輛每次停車的位置以及停車延誤時(shí)間。結(jié)果表明了該方法的實(shí)用性和有效性，為后續(xù)的研究工作奠定了數(shù)據(jù)基礎(chǔ)。 其次，針對浮動車GPS數(shù)據(jù)覆蓋率較低的情況，研究了一種基于停車延誤數(shù)據(jù)的交叉口信號配時(shí)參數(shù)估計(jì)方法。通過分析車隊(duì)經(jīng)過信號交叉口的延誤特性，得到車隊(duì)延誤模式三角形，并在此基礎(chǔ)上分別討論了未飽和與過飽和狀態(tài)下的交叉口信號參數(shù)估計(jì)方法。最后通過多周期估計(jì)結(jié)果融合的方法，減少了因GPS定位誤差、數(shù)據(jù)缺失以及其他偶然因素引起的估計(jì)誤差。結(jié)果表明該方法具有較好的估計(jì)效果，而且能夠適應(yīng)于不同類型的信號交叉口。 最后，針對GPS存在定位誤差、數(shù)據(jù)缺失等問題以及車輛存在偶然停車等情況對延誤數(shù)據(jù)造成的污染，利用穩(wěn)健回歸的思想，采用最小截尾二乘LTS回歸，分時(shí)段分別建立了未飽和與過飽和狀態(tài)下的單車的停車延誤時(shí)間與停車位置之間的關(guān)系模型。結(jié)果表明該模型具有較好的估計(jì)效果。 研究結(jié)果表明本文的交叉口信號配時(shí)參數(shù)估計(jì)方法和單車的停車延誤時(shí)間與停車位置的關(guān)系模型估計(jì)精度較高，且具有實(shí)用價(jià)值。
[Abstract]:Vehicles usually experience certain delays when they pass signalized intersections. The effective estimation of vehicle delay time at signalized intersections is useful for traffic management and bus dispatch. The optimization of signal timing parameters and the path selection of travelers are of great significance. However, due to the limitations of means of detection, technical conditions and so on, There is still a lack of operable signal timing parameter estimation method and the analysis method of signal intersection bicycle delay time model. The signal timing parameter and vehicle deceleration stop position are related to the single cycle delay time at signalized intersection. Considering the characteristics and convenience of the floating vehicle GPS data, this paper firstly analyzes the delay characteristics of the vehicle passing signal intersection, and gets the description of the delay mode of the vehicle, and on this basis, The estimation method of signal timing parameters at intersection is studied. Finally, on the basis of deeply analyzing the relationship between parking delay time and parking position, using the estimation results of signal timing parameters and considering the influence of abnormal data, robust regression estimation is used. The relationship between parking delay time and parking position is established. The research work mainly includes the following three aspects: firstly, the acquisition method of bicycle parking delay data based on GPS data is studied, and the corresponding improvement is made in view of the traditional deceleration point method can not judge the situation of vehicle stopping many times. Using the average distance (average velocity) of two adjacent GPS data points to judge the key points of the vehicle, the location of each stop and the delay time of the vehicle are obtained. The results show the practicability and effectiveness of the method, and lay the data foundation for the further research. Secondly, aiming at the low GPS data coverage of floating vehicle, A method for estimating intersection signal timing parameters based on parking delay data is studied. Based on the analysis of the delay characteristics of the vehicle passing signalized intersection, the triangle of the vehicle delay mode is obtained, and the signal parameter estimation methods of the intersection under the condition of unsaturated and supersaturated are discussed respectively. Finally, the estimation error caused by GPS positioning error, missing data and other accidental factors is reduced by the method of fusion of multi-period estimation results. The results show that the proposed method has good estimation effect and can be applied to different signal intersections. Based on the problem of missing data and the pollution caused by accidental parking of vehicles on the delay data, using the idea of robust regression, the least truncated two times LTS regression is adopted. The relationship between the delay time and the parking position of the cycle in unsaturated and supersaturated state is established in different time periods. The results show that this model has a good estimation effect, and the research results show that the method of signal timing estimation and the relationship between stopping delay time and parking position of the vehicle in this paper have high accuracy and practical value.
【學(xué)位授予單位】：重慶大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.54

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