本文選題：出租汽車GPS數(shù)據(jù)　切入點：決策支持　出處：《長安大學》2015年碩士論文　論文類型：學位論文

【摘要】：近年來,隨著城市化進程的加快和機動車保有量的快速增加,各種交通方式在為人們出行帶來便捷的同時也帶來了交通事故、交通擁擠、交通污染等諸多負面的影響。本文通過分析“交通運輸部城市出租汽車服務管理系統(tǒng)”中的衛(wèi)星定位數(shù)據(jù)及某大賽提供的數(shù)據(jù),提取相關參數(shù),完成了出租汽車空車到達分布和道路阻抗兩個模型的研究,具體內(nèi)容包括:在城市出租汽車空車到達分布模型研究方面,深入分析現(xiàn)階段國內(nèi)外利用出租汽車GPS數(shù)據(jù)進行的分析。在大量研究的基礎上,利用衛(wèi)星定位數(shù)據(jù)中的各項數(shù)據(jù)進行包括空車平均到達率的計算。為使城市出租汽車空車到達分布模型能夠適用于多區(qū)域、多時段,統(tǒng)計分析預處理后的數(shù)據(jù),從而得出城市出租汽車空車到達分布服從參數(shù)為線性函數(shù)的非齊次泊松分布,通過得到的線性分段函數(shù)可自動推算乘客的平均等待時間。在道路阻抗模型方面,同樣在上述數(shù)據(jù)基礎上,充分分析影響城市道路阻抗的各種因素,利用層次分析法等技術提取出關鍵影響因素。結(jié)合空間平均車速計算方法和路長加權空間平均車速計算方法得到的城市車輛平均行駛車速,得到動態(tài)道路阻抗模型。從而得到城市道路阻抗模型。計算表明,本文提出的方法計算出的結(jié)果與觀測結(jié)果基本一致。最后設計了相關的軟件原型。本文對城市出租汽車空車到達分布模型及道路阻抗模型的準確描述,有利于科學合理地建立出租汽車�？空竞统鲎馄囌{(diào)度與叫車系統(tǒng);針對路網(wǎng)方面提出將GPS信息與其他數(shù)據(jù)源信息融合有助于準確估計路網(wǎng)交通狀態(tài);有助于出租汽車市場由傳統(tǒng)的粗放式管理向信息化管理邁進,可為城市交通管理水平的提高提供有價值的決策依據(jù)。
[Abstract]:In recent years, with the acceleration of the urbanization process and the rapid increase of the number of motor vehicles, all kinds of traffic modes not only bring convenience for people to travel, but also bring traffic accidents and traffic congestion. Traffic pollution and many other negative effects. Through the analysis of satellite positioning data and the data provided by a competition in the "Urban Taxi Service Management system of the Ministry of Transport", the relevant parameters are extracted. Two models of taxi arrival distribution and road impedance are completed, including: in urban taxi empty car arrival distribution model research, Deep analysis of the current domestic and foreign taxi GPS data analysis. On the basis of a large number of studies, Using the data of satellite positioning data to calculate the average arrival rate of empty car, in order to make the urban taxi arrival distribution model suitable for multi-region, multi-period, statistical analysis of pre-processed data, Thus, it is concluded that the arrival distribution of urban taxi empty cars can automatically calculate the average waiting time of passengers from the non-homogeneous Poisson distribution whose parameters are linear functions, and the average waiting time of passengers can be automatically calculated by the obtained linear piecewise functions. Also on the basis of the above data, the various factors affecting urban road impedance are fully analyzed. The key influencing factors are extracted by using the analytic hierarchy process (AHP) technique, and the average driving speed of urban vehicles is obtained by combining the spatial average speed calculation method and the road length weighted spatial average speed calculation method. The dynamic road impedance model is obtained, and the urban road impedance model is obtained. The results obtained by the method proposed in this paper are basically consistent with the observed results. At last, the related software prototype is designed. The accurate description of the arrival distribution model and the road impedance model of urban taxi empty cars is presented in this paper. It is beneficial to the establishment of taxi parking station and taxi dispatching and taxi hailing system scientifically and reasonably, and it is suggested that the fusion of GPS information and other data sources will be helpful to accurately estimate the traffic state of the road network. It is helpful for the taxi market to advance from the traditional extensive management to the information management, and can provide a valuable decision basis for the improvement of the level of urban traffic management.
【學位授予單位】：長安大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U495

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本文編號：1570138