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  本文關(guān)鍵詞：基于GIS和智能體的公交運行仿真評價研究　出處：《北京建筑大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 公交 發(fā)車間隔 優(yōu)化 智能體仿真

【摘要】：近年來，國家出臺多項政策大力支持發(fā)展公共交通。全國各省市積極加快城市公交線網(wǎng)優(yōu)化和設(shè)施建設(shè)，城市公交服務(wù)覆蓋面不斷擴大。然而，國內(nèi)城市公交的利用率普遍偏低，沒有發(fā)揮出應(yīng)有的作用。為了提高公共交通利用率，在科學(xué)規(guī)劃線路的同時，更要優(yōu)化公交線路的服務(wù)質(zhì)量。智能公交調(diào)度系統(tǒng)是智能公共交通系統(tǒng)的重要組成部分，合理的調(diào)度策略能夠為乘客提供更好的公交服務(wù)，從而提供更加經(jīng)濟、便捷、舒適、高效、環(huán)保的公交服務(wù)，提高公交的吸引力和分擔(dān)力。公交發(fā)車計劃作為公交調(diào)度的最關(guān)鍵部分之一，制定科學(xué)合理的發(fā)車計劃，提高公交服務(wù)質(zhì)量，為公交車的智能調(diào)度提供分析方法和決策依據(jù)。 本文以常規(guī)公交為研究對象，對IC卡刷卡數(shù)據(jù)進行常規(guī)統(tǒng)計，分析客流規(guī)律，擬合出各個公交站點的客流吸引率曲線，分析得出各個站點的下車人數(shù)與車上人數(shù)的比例固定，由此可推測各個站點的下車人數(shù)。利用公交車GPS軌跡數(shù)據(jù)，計算出車輛在站間的運行時間，并根據(jù)時段、路段等信息，基于SVM算法，預(yù)測不同時段不同路段的行程時間。分析智能體技術(shù)以及ABMS方法建立公交復(fù)雜系統(tǒng)的適用性，比較幾種主流的仿真平臺，并詳細介紹了研究中使用的仿真平臺Repast Simphony，包括平臺簡介、平臺功能和平臺仿真流程。然后本文詳細介紹了建立發(fā)車頻率規(guī)劃模型的過程，該模型綜合考慮了企業(yè)滿意度、乘客候車滿意度和乘客乘車滿意度。最后本文選取了北京673路作為仿真線路，詳細介紹了仿真智能體的建立過程以及在仿真平臺中的實現(xiàn)，，最后得出較好的仿真結(jié)果，達到了優(yōu)化發(fā)車計劃的目的。
[Abstract]:In recent years, the state has issued a number of policies to support the development of public transport. Provinces and cities throughout the country actively speed up the optimization of urban transit network and facilities construction, urban public transport service coverage continues to expand. The utilization rate of urban public transport in China is generally low and has not played its due role. In order to improve the utilization ratio of public transport, the route is planned scientifically at the same time. Intelligent public transport scheduling system is an important part of intelligent public transport system, reasonable scheduling strategy can provide better bus service for passengers, thus providing more economic. Convenient, comfortable, efficient, environmental protection of public transport services, improve the attractiveness and sharing of public transport. As one of the most critical part of bus dispatch, make a scientific and reasonable departure plan. Improve the quality of bus service, and provide analysis method and decision basis for intelligent bus dispatching. This paper takes routine bus as the research object, carries on the routine statistics to the IC card swipe card data, analyzes the passenger flow rule, and fits the curve of the passenger flow attraction rate of each bus station. The ratio of the number of people getting off and the number of people on the bus is fixed, and the number of people getting off from each station can be inferred. Using the GPS track data of the bus, the running time of the vehicle between the stations can be calculated. Based on the information of time and section, and based on SVM algorithm, the travel time of different sections in different periods is predicted. The applicability of agent technology and ABMS method to establish complex bus system is analyzed. This paper compares several mainstream simulation platforms, and introduces in detail the simulation platform Repast Simphony, which is used in the research, including a brief introduction of the platform. The platform function and platform simulation flow. Then, this paper introduces the process of establishing the departure frequency planning model in detail, which considers the enterprise satisfaction comprehensively. Finally, this paper selects Beijing 673 Road as the simulation circuit, and introduces the establishment process of the simulation agent and its implementation in the simulation platform in detail. Finally, better simulation results are obtained, and the purpose of optimizing train departure plan is achieved.
【學(xué)位授予單位】：北京建筑大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.17;U495;P208

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本文編號：1396287