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91.
92.
可变限速控制和匝道控制是快速路交通控制的主要手段,本文对两者的协同优化策略进行了研究.借助智能车路协同系统强大的信息感知能力,通过引入微观交通流信息,对经典METANET模型进行了改造,构建了可变限速控制影响下的微观METANET模型,实现了一种新的可变限速控制策略,同时,采用ALINEA算法,对入口匝道进行了优化控制,实现了两者的协同优化.最后,基于实际道路和交通流数据搭建了仿真平台,对微观METANET模型和协同优化策略的有效性进行了验证.仿真结果表明,微观METANET模型具有良好的交通流预测效果,协同优化策略能有效地改善快速路交通流状态. 相似文献
93.
针对不成对列车运行图编制,在考虑最优性的要求条件下,本文提出适用于多端点不成对机车周转图的实用三步算法,即,首先确定机车交路成对时部分初始解,再分别确定每一个尚未匹配到达车次初始附挂方案,最后进行结果优化.文末提供一个算例,算例证明算法有效。 相似文献
94.
地铁综合监控系统的集成模式 总被引:6,自引:0,他引:6
通过对国内外城市轨道交通综合自动化系统的调研,结合广州地铁多条线路的综合监控系统的实际工程经验,详尽分析目前地铁综合监控系统的集成模式.通过比选指出顶端信息集成模式存在的不足,并提出将相关控制层设备纳入综合监控系统的深度系统集成模式的设计新思路. 相似文献
95.
应答器报文在CTCS中的定义与应用 总被引:2,自引:0,他引:2
列车运行控制系统的应用已经比较普遍,各种速度的铁路都有运用,但在高速铁路上的应用更能显示出其高水平和具有代表性。高速铁路正在欧洲和亚洲快速发展,已通车或正在建设中的高速线路多达十几条,这对于推动一个国家的经济发展有着深刻的影响。尽管各高速铁路采用的列车运行控制系统都不尽相同,但它们却有着基本相似的工作原理,扼要阐述列控中心的工作原理,并对高速列车运行的控制信息——报文做进一步举例说明。 相似文献
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97.
《运输规划与技术》2013,36(2):171-193
The impacts of telecommuting and intelligent transportation systems (ITS) on urban development patterns were investigated in terms of households' residential location choice decisions. A discrete choice modelling approach framework was used. A stated preference (SP) logit analysis was carried out to estimate the parameters of the utility function. An attitude survey of employees of selected public and private sector organizations in the Ottawa-Carleton Region (Canada) yielded the required data for model estimation. In addition to obtaining background information, the survey elicited SP responses by presenting a number of hypothetical residential choice scenarios defined according to the principles of SP experimental design. Results show that telecommuting and ITS measures are highly significant factors in the residential choice model. This leads to the conclusion that these reinforce dispersed residential patterns and encourage moves towards outlying sites. Implications of this conclusion for urban land development planning are noted. 相似文献
98.
我国Ⅲ、Ⅳ级铁路有配备列控系统的需求.ITCS和ERTMS Regional是适合Ⅲ、Ⅳ级铁路的2种列控系统,介绍了它们的结构和功能特点. 相似文献
99.
In 2011 in the Netherlands a field operational test was performed to investigate the possibility of using restrictive Intelligent Speed Adaptation (ISA) as a penalty system for serious speed offenders. This paper presents the overall results of the research focusing on the pros and cons of the use of ISA as a restrictive measure for serious speed offenders, and on the preconditions for deployment. The results showed that the ISA systems tested have a huge effect on driver behavior and have the potential to improve road safety by reducing the level of speeding, mean speed, as well as the standard deviation of speed. However, there are also cons: the behavioral change in driving behavior was only temporary. In addition the tested technology proved too easy to override, raised issues of equity, and a substantial back office is required when implementing the system for serious speed offenders. 相似文献
100.
Perception system design is a vital step in the development of an autonomous vehicle (AV). With the vast selection of available off-the-shelf schemes and seemingly endless options of sensor systems implemented in research and commercial vehicles, it can be difficult to identify the optimal system for one’s AV application. This article presents a comprehensive review of the state-of-the-art AV perception technology available today. It provides up-to-date information about the advantages, disadvantages, limits, and ideal applications of specific AV sensors; the most prevalent sensors in current research and commercial AVs; autonomous features currently on the market; and localization and mapping methods currently implemented in AV research. This information is useful for newcomers to the AV field to gain a greater understanding of the current AV solution landscape and to guide experienced researchers towards research areas requiring further development. Furthermore, this paper highlights future research areas and draws conclusions about the most effective methods for AV perception and its effect on localization and mapping. Topics discussed in the Perception and Automotive Sensors section focus on the sensors themselves, whereas topics discussed in the Localization and Mapping section focus on how the vehicle perceives where it is on the road, providing context for the use of the automotive sensors. By improving on current state-of-the-art perception systems, AVs will become more robust, reliable, safe, and accessible, ultimately providing greater efficiency, mobility, and safety benefits to the public. 相似文献