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中心城区停车诱导系统关键技术研究

发布时间:2018-09-01 16:18
【摘要】:随着我国汽车工业的不断发展,城市化进程的不断加剧,城市汽车普及率的不断增加,使得人们日常出行的便利性与舒适性有了极大的改善。而伴随汽车增加而引发的一系列交通问题也变得越发明显。受制于有限的城市中心城区空间和停车场建设成本,停车问题成为了城市交通管理中的一个核心问题。停车诱导系统是智能交通系统中出行车辆信息系统的组成部分。为驾驶者及时提供可靠的停车诱导信息,不仅可以满足停车需求,还能通过减少停车迅游流量,提高道路通行能力,让达到以静制动的目的。本文在查阅大量国内外文献的基础上,分析国内外已有停车诱导系统发展的现状,并针对停车诱导显示屏的选址问题和停车诱导系统的综合评价方法进行研究。主要研究内容如下:第一部分,首先介绍了本研究课题的研究背景,研究目的与意义。之后针对我国城市中心城区停车现状进行了调查与分析分析。探讨了停车诱导系统与交通诱导系统的区别,并对停车诱导系统的评价方法进行了梳理。明确了本文的研究方向以及具体技术路线。第二部分,针对停车诱导系统中的诱导显示屏的选址问题,在分析前人所建立的可变信息板布点方法的基础上,构建了以可变信息板发挥的效用最大为目标的布点模型,与以往布点计算方法不同的是,本文考虑了人的因素,即距离事件发生地点的交叉口数目,设计了遗传算法优化求解步骤,对遗传算法的编码方式、适应度函数和遗传算子进行了设计。最后,利用VISSIM仿真软件对基于灰色局势决策的诱导板布点方法、基于模糊决策的诱导板布点方法和本文所建立的诱导板布点方法进行模拟,并对实验结果进行了对比分析,结果表明:本文所建立的诱导板布点方法更有优越性,按照系统最优原则,试算表明此模型算法的有效性。第三部分,最后研究停车诱导系统的综合评价方法。本文首先建立了包括软、硬件投资效益、停车诱导项目运行效果、停车诱导相关技术、驾驶员满意度及环境满意度5个一级指标和19各影响因素在内的系统评价体系,结合专家打分法,给出了停车诱导模糊综合评价方法。
[Abstract]:With the continuous development of China's automobile industry, the continuous intensification of the urbanization process, and the increasing popularity of urban cars, the convenience and comfort of daily travel of people have been greatly improved. And a series of traffic problems caused by the increase in cars have become increasingly apparent. The parking problem has become a core problem in urban traffic management because of the limited construction cost of urban central urban space and parking lot. Parking guidance system is an integral part of travel vehicle information system in intelligent transportation system. Providing timely and reliable parking guidance information for drivers can not only meet the demand of parking, but also improve the capacity of the road by reducing the speed of parking, so as to achieve the purpose of static braking. On the basis of consulting a lot of literature at home and abroad, this paper analyzes the current situation of parking guidance system at home and abroad, and studies the location problem of parking guidance display screen and the comprehensive evaluation method of parking guidance system. The main contents are as follows: the first part introduces the research background, purpose and significance of this research topic. After that, the investigation and analysis of the parking situation in the urban center of our country are carried out. The difference between parking guidance system and traffic guidance system is discussed, and the evaluation method of parking guidance system is combed. The research direction and specific technical route of this paper are clarified. In the second part, aiming at the location problem of the induced display screen in the parking guidance system, based on the analysis of the method of variable information board placement established by the predecessors, a placement model aiming at the maximum utility of the variable information board is constructed. Different from the previous methods, this paper takes into account the human factor, that is, the number of intersections from the location of the event, designs the optimization steps of genetic algorithm, and encodes the genetic algorithm. Fitness function and genetic operator are designed. Finally, VISSIM simulation software is used to simulate the induced plate placement method based on grey situation decision, the induced board point method based on fuzzy decision and the method established in this paper, and the experimental results are compared and analyzed. The results show that the proposed method has more advantages. According to the principle of system optimization, the validity of the model algorithm is demonstrated by the trial calculation. In the third part, the comprehensive evaluation method of parking guidance system is studied. In this paper, a systematic evaluation system is established, which includes five primary indexes, including software and hardware investment benefit, parking guidance project operation effect, parking guidance related technology, driver satisfaction and environment satisfaction, and 19 influencing factors. Combined with expert scoring method, a fuzzy comprehensive evaluation method for parking guidance is presented.
【学位授予单位】:长安大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:U491.7;U495

【引证文献】

相关会议论文 前1条

1 唐克双;孙剑;李克平;林航飞;刘涛;徐谨;;上海市五角场地区停车、行车诱导系统规划与设计[A];第八届中国智能交通年会优秀论文集——智能交通与安全[C];2013年



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