本文選題：汽車云計(jì)劃 + 自動(dòng)駕駛車輛　； 參考：《哈爾濱工業(yè)大學(xué)》2015年碩士論文

【摘要】：汽車云計(jì)劃隨智能交通的發(fā)展應(yīng)運(yùn)而生,在未來(lái)自動(dòng)駕駛車輛可作為一個(gè)獨(dú)立的系統(tǒng)為城市交通服務(wù)。文章在自動(dòng)駕駛汽車和云計(jì)算迅猛發(fā)展的背景下,探索了未來(lái)10-20年后,基于云計(jì)算商業(yè)模式的自動(dòng)駕駛車輛為城市出行者進(jìn)行出行服務(wù)的車輛調(diào)度系統(tǒng)。文章總結(jié)了云計(jì)算的應(yīng)用特性及其在交通行業(yè)的應(yīng)用,對(duì)現(xiàn)行的自動(dòng)駕駛車輛的發(fā)展應(yīng)用情況作了分析研究,由此引出了汽車云計(jì)劃的具體概念,并對(duì)其范圍進(jìn)行了界定,進(jìn)而對(duì)汽車云計(jì)劃下自動(dòng)駕駛車輛在城市交通中的運(yùn)行模式和現(xiàn)行交通模式進(jìn)行了對(duì)比,簡(jiǎn)要分析了汽車云計(jì)劃下的交通發(fā)展管理模式。文章以云計(jì)算為平臺(tái),對(duì)城市的自動(dòng)駕駛車輛進(jìn)行調(diào)度研究,將棘手的交通擁堵、交通安全以及交通污染和生態(tài)環(huán)境保護(hù)等這些問(wèn)題弱化到幾乎為零,優(yōu)化未來(lái)的城市交通系統(tǒng)及生活環(huán)境,改變城市的出行文化。在以上分析的基礎(chǔ)上,文章引用排隊(duì)論理論,結(jié)合云計(jì)劃下出行者的出行特征,即預(yù)約出行,以“先到先服務(wù)”(FCFS)為規(guī)則建立單個(gè)分派中心的調(diào)度模型,使其容量庫(kù)存能夠在與出行者服務(wù)和自身運(yùn)營(yíng)效益之間達(dá)到一個(gè)最優(yōu)的平衡點(diǎn),并進(jìn)行了算例分析。云端調(diào)度中心劃分的交通區(qū)域內(nèi)不僅只有一個(gè)分派中心,分派中心的選址又直接影響著其對(duì)出行者的服務(wù)效益�；诖宋恼陆Y(jié)合云計(jì)劃下城市交通出行者的出行特征,將排隊(duì)論引入到自動(dòng)駕駛車輛分派中心選址研究上,并建立了對(duì)出行者的預(yù)約出行目的地有要求的選址模型,為云端調(diào)度中心在有預(yù)約出行時(shí)選取分派中心進(jìn)行車輛調(diào)度提供決策依據(jù)。文章通對(duì)城市自動(dòng)駕駛車輛調(diào)度的研究表明:未來(lái)城市交通系統(tǒng)的交通擁堵、污染、安全、生態(tài)保護(hù)等棘手問(wèn)題可弱化到零,基于云計(jì)算提供的平臺(tái),通過(guò)對(duì)分派中心選址和容量的合理分配,為城市交通出行的整體效益提供優(yōu)化依據(jù)。
[Abstract]:With the development of Intelligent Transportation (its), the automotive cloud project is coming into being. In the future, autonomous vehicles can serve as an independent system for urban traffic. In the context of the rapid development of self-driving vehicles and cloud computing, this paper explores the vehicle scheduling system based on cloud computing business model for urban travelers in the next 10-20 years. This paper summarizes the application characteristics of cloud computing and its application in the transportation industry, analyzes and studies the current development and application of self-driving vehicles, and leads to the concrete concept of vehicle cloud planning, and defines its scope. Then the operation mode of self-driving vehicle in urban traffic is compared with the current traffic mode, and the traffic development management mode under the cloud plan is analyzed briefly. Based on cloud computing, this paper studies the scheduling of self-driving vehicles in cities, which weakens the thorny problems of traffic congestion, traffic safety, traffic pollution and ecological environment protection to almost zero. Optimize the future urban transportation system and living environment, change the city's travel culture. On the basis of the above analysis, this paper applies the theory of queuing theory and combines the travel characteristics of travelers under cloud planning, that is, booking trips, and establishes a scheduling model of a single dispatch center based on the rules of "first come, first served" (FCFS). The capacity inventory can reach an optimal balance point with the traveler's service and its own operation benefit, and an example is given. There is not only one distribution center in the transportation area divided by the cloud dispatching center, but also the location of the distribution center directly affects its service efficiency to the travelers. Based on the characteristics of urban traffic travelers under the cloud planning, the queuing theory is introduced into the study of the location of autonomous vehicle distribution centers, and a location model is established which is required for the scheduled travel destinations of travelers. It provides the decision basis for the cloud dispatching center to select the dispatch center to carry out the vehicle scheduling when there is an appointment. The research on urban autonomous vehicle scheduling shows that traffic congestion, pollution, safety, ecological protection and other thorny problems of urban traffic system in the future can be weakened to zero, based on the platform provided by cloud computing. Through the rational allocation of the location and capacity of the distribution center, the optimal basis for the overall benefit of urban transportation travel is provided.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U495

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本文編號(hào)：2106275