汽车云计划下城市自动驾驶车辆调度研究

发布时间：2018-07-07 21:07

本文选题：汽车云计划 + 自动驾驶车辆　；参考：《哈尔滨工业大学》2015年硕士论文

【摘要】：汽车云计划随智能交通的发展应运而生,在未来自动驾驶车辆可作为一个独立的系统为城市交通服务。文章在自动驾驶汽车和云计算迅猛发展的背景下,探索了未来10-20年后,基于云计算商业模式的自动驾驶车辆为城市出行者进行出行服务的车辆调度系统。文章总结了云计算的应用特性及其在交通行业的应用,对现行的自动驾驶车辆的发展应用情况作了分析研究,由此引出了汽车云计划的具体概念,并对其范围进行了界定,进而对汽车云计划下自动驾驶车辆在城市交通中的运行模式和现行交通模式进行了对比,简要分析了汽车云计划下的交通发展管理模式。文章以云计算为平台,对城市的自动驾驶车辆进行调度研究,将棘手的交通拥堵、交通安全以及交通污染和生态环境保护等这些问题弱化到几乎为零,优化未来的城市交通系统及生活环境,改变城市的出行文化。在以上分析的基础上,文章引用排队论理论,结合云计划下出行者的出行特征,即预约出行,以“先到先服务”(FCFS)为规则建立单个分派中心的调度模型,使其容量库存能够在与出行者服务和自身运营效益之间达到一个最优的平衡点,并进行了算例分析。云端调度中心划分的交通区域内不仅只有一个分派中心,分派中心的选址又直接影响着其对出行者的服务效益。基于此文章结合云计划下城市交通出行者的出行特征,将排队论引入到自动驾驶车辆分派中心选址研究上,并建立了对出行者的预约出行目的地有要求的选址模型,为云端调度中心在有预约出行时选取分派中心进行车辆调度提供决策依据。文章通对城市自动驾驶车辆调度的研究表明:未来城市交通系统的交通拥堵、污染、安全、生态保护等棘手问题可弱化到零,基于云计算提供的平台,通过对分派中心选址和容量的合理分配,为城市交通出行的整体效益提供优化依据。
[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.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U495

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