城市交通中的最短路径及系统有效性的研究
发布时间:2018-01-09 01:18
本文关键词:城市交通中的最短路径及系统有效性的研究 出处:《西安电子科技大学》2015年硕士论文 论文类型:学位论文
更多相关文章: 城市交通系统 交通大数据 路径规划 配流平衡 ELA算法
【摘要】:以物流、通勤为主的城市交通系统一直是城市发展的重要基础。但是近年来,城市交通系统出现了诸如交通拥堵、尾气污染等问题,已经成为制约城市进一步发展的重要因素。基于交通大数据的导航服务目前引起了学术界以及产业界的广泛关注。海量交通数据的应用为导航提供了更加真实有效的解决方案。此外,基于交通配流理论的解决方案可以从一个全局的角度提升城市交通运输系统的运输效率。因此,如何有效地针对交通数据进行处理以及如何对交通流量做合理的规划,对城市交通系统的质量与效率具有很重要的意义。本文的主要研究工作包括以上提到的两个方面,具体研究内容如下:首先,针对城市交通路网的路径规划的研究,文中采用了拓扑图对城市交通路网进行分析建模。在拓扑图中,为了得到最为重要的边的权重(在路网中反映为路段的通行时间),本文提出了一个种混合速度模型。该模型从大量的交通数据中归纳出道路目前所处的状态:拥挤或空闲,并分别计算路段的通行时间。文章同时分析了城市交通路网的时变特性,并显示了时变特性对导航服务的影响。通过仿真可以看出当导航服务采用了交通大数据及混合速度模型相结合的路径规划算法,能够提高个人用户的出行效率。此外,考虑到城市交通网络的整体性能,本文从全局角度对城市交通网络的运输效率进行了研究。为了研究全网的交通运输能力,在拓扑建模的基础上将它转换成最优化问题。同时为了兼顾单个用户的利益和全局交通网络的效率,本文提出了效率损失避免(Efficiency Loss Alleviation,ELA)的算法。算法中采用了奖励和惩罚机制,保证了驾驶员采取更多可选路径来减少效率损失的同时提高了驾驶员之间的公平性。仿真结果证明了所提协议的有效性。同时利用仿真证明了适合车联网(Vehicular Ad hoc Networks,VANETs)的通信技术能够弥补导航服务的渗透率低带来的效率损失。
[Abstract]:In logistics, mainly commuter city traffic system is an important foundation for the development of the city. But in recent years, the city traffic system such as traffic congestion, pollution and other issues, has become an important factor restricting the further development of the city. The traffic data navigation service has attracted widespread attention in academic circles and industry circles based on the application of massive traffic data. Provide a solution to the more real and effective solutions for navigation. In addition, traffic assignment theory can improve the transport efficiency of city transportation system from a global perspective. Therefore, how to effectively according to the traffic data of traffic flow and how to do reasonable planning process, has the very the important significance of the quality and efficiency of city traffic system. The main research work of this paper includes two aspects mentioned above, the concrete research Contents are as follows: firstly, research on the path planning of city traffic, this paper adopts the analysis model of city traffic network topology graph. In the topology, in order to get the weight of the most important side (in the road network to reflect the passage of time, the road) this paper presents a kind of mixing speed model. Summarize the model from a large number of traffic data in the current state of the road: crowded or idle, the passage of time and calculated sections. The paper also analyzes the city traffic network time-varying characteristics, and shows the influence of variation on the navigation service. Through the simulation we can see that when the navigation path planning algorithm the service of traffic data and mixed velocity model combination, can improve the user's personal travel efficiency. In addition, taking into account the overall performance of city traffic network, this article from the overall perspective of the city traffic network Network transport efficiency is studied. In order to study the network transport capacity, based on the topology modeling will convert it into an optimization problem. At the same time in order to take into account the interests and efficiency of global traffic network for individual users, is proposed in this paper to avoid the loss of efficiency (Efficiency Loss Alleviation ELA) algorithm. The algorithm adopts reward and the punishment mechanism, ensure the driver to take more optional path to reduce efficiency losses and improve the fairness between the driver. The simulation results show the validity of the protocol. The simulation proved suitable for car Networking (Vehicular Ad hoc Networks VANETs) communication technology can make up for the loss of efficiency of low permeability navigation service bring.
【学位授予单位】:西安电子科技大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:U12
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