本文關(guān)鍵詞：基于軌跡數(shù)據(jù)的出租汽車運力規(guī)模測算方法研究　出處：《長安大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 出租汽車 GPS軌跡數(shù)據(jù) 運力規(guī)模 運量投放模型

【摘要】：城市出租汽車作為公共交通的重要補充,在城市綜合交通運輸體系中扮演著重要角色,出租汽車空駛率高與乘客打車困難一直是出租汽車行業(yè)發(fā)展面臨的主要矛盾,在運輸供給和需求之間建立平衡關(guān)系,對于保障城市居民出行、保障城市交通順暢、出租汽車行業(yè)穩(wěn)定發(fā)展等方面具有重要意義。本文在現(xiàn)有研究基礎(chǔ)之上,以出租汽車所應(yīng)承擔(dān)的城市客運交通周轉(zhuǎn)量和出租汽車能提供的有效行駛里程為主要研究對象,依托出租汽車軌跡數(shù)據(jù)提出城市出租汽車運力規(guī)模測算方法。本文以出租汽車軌跡數(shù)據(jù)為研究手段,出于簡化數(shù)據(jù)和精確表達的目的對出租汽車大數(shù)據(jù)進行數(shù)據(jù)建模,通過測算出租汽車的里程利用效率、時間利用效率以及運行速度等分析出租汽車運行效率,依托GIS技術(shù)通過測算上下車點分布識別打車熱點地區(qū)和打車難地區(qū),研究出租汽車運輸需求的分布差異,作為研究的基礎(chǔ)。構(gòu)建運量投放模型首先將電子地圖中的城市道路以交叉口為分界點進一步劃分為若干路段,針對每個小路段基于隨機過程理論構(gòu)建打車概率模型,提出打車概率低路段存在未滿足的運輸需求的觀點,在此基礎(chǔ)上,每個小路段上乘客打車與出租汽車服務(wù)過程可抽象為排隊問題,測算在一定排隊時間即等候時間下的服務(wù)隊長,結(jié)合軌跡數(shù)據(jù)計算的平均出行距離得出未滿足的城市出租汽車應(yīng)承擔(dān)的城市客運交通周轉(zhuǎn)量,結(jié)合計算的出租汽車平均有效行駛里程,確定不同時期解決乘客打車難問題的出租汽車運力規(guī)模,并最終確定合理規(guī)模,為了保障運力投放的合理性,依托數(shù)據(jù)庫計算收入變動系數(shù)約束運力投放。以西安市為例進行實例分析,首先通過軌跡數(shù)據(jù)分析西安市出租汽車不同時間范圍內(nèi)的里程利用率和時間利用效率,反映不同時期出租汽車的運行效率,并通過不同路段的速度變化提出五種速度變化模式;其次將軌跡數(shù)據(jù)導(dǎo)入Arcgis分析西安出租汽車運輸需求的差異分布;最后測算不同時間段出租汽車運力規(guī)模以及在一定收入變化約束下的合理規(guī)模。
[Abstract]:City taxi as an important supplement to public transportation, plays an important role in the comprehensive transportation system in the city, taxi Kongshi rate and passenger taxi difficulties have been the main problem facing the development of the taxi industry, establish the balance between supply and demand in transportation, is of great significance for the protection of city residents travel, protect the city traffic smooth, stable development of taxi industry. Based on the existing research, this paper takes the urban passenger traffic volume and the effective mileage of taxi as the main research object, and proposes the calculation method of the urban taxi capacity scale based on the taxi track data. The taxi trajectory data as the research method, in order to simplify the data and precise expression to model the data of taxi big data, use efficiency and speed of taxi operation efficiency by calculating the taxi mileage utilization efficiency, time, relying on the GIS off point distribution to identify hot spots and taxi taxi through measurement to study area, distribution of taxi transport demand, as the basis of the study. The construction quantity model first city road map in the intersection point is further divided into several sections for each path segment based on stochastic process theory to construct the probability model of taxi, the taxi has a low probability of road does not meet the transportation demand point of view, on the basis of this, each path segment for taxi passengers and taxi the automobile service process can be abstracted as a queuing problem in a certain measure queuing time of waiting time of service under captain, with the average travel distance from the track data calculation of city passenger traffic turnover does not meet the city taxi should bear, combining the calculated average effective taxi mileage, determine the different period to solve the difficult problem of taxi passengers the taxi capacity scale, and ultimately determine the reasonable scale, in order to ensure the rationality of transport capacity, relying on the database is closed The coefficient of variation constrains the delivery of capacity. Taking Xi'an city as an example, firstly by analyzing trajectory data of Xi'an taxi mileage by different time within the scope of the utilization and the efficiency of time, efficiency of different periods of the taxi, and through the different sections of the speed change puts forward five kinds of speed change mode; secondly the distribution difference of trajectory data into Arcgis analysis in Xi'an taxi transportation needs; finally, calculating different time taxi capacity and reasonable scale in certain changes in income constraints.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：U492.434;F572

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