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961.
ABSTRACT

Transport network criticality analysis aims at ranking transport infrastructure elements based on their contribution to the performance of the overall infrastructure network. Despite the wide variety of transport network criticality metrics, little guidance is available on selecting metrics that are fit for the specific purpose of a study. To address this gap, this study reviews, evaluates and compares seventeen criticality metrics. First, we conceptually evaluate these metrics in terms of the functionality of the transport system that the metrics try to represent (either maintaining connectivity, reducing travel cost, or improving accessibility), the underlying ethical principles (either utilitarianism or egalitarianism), and the spatial aggregation considered by the metrics (either network-wide or localised). Next, we empirically compare the metrics by calculating them for eight transport networks. We define the empirical similarity between two metrics as the degree to which they yield similar rankings of infrastructure elements. Pairs of metrics that have high empirical similarity highlight the same set of transport infrastructure elements as critical. We find that empirical similarity is partly dependent on the network’s topology. We also observe that metrics that are conceptually similar do not necessarily have high empirical similarity. Based on the insights from the conceptual and empirical comparison, we propose a five-step guideline for transport authorities and analysts to identify the set of criticality metrics to use which best aligns with the nature of their policy questions.  相似文献   
962.
本文对比分析了国内外应用各种建模方法在船舶通航研究中的优缺点,提出了一种基于多智能体信息交互的港口运营系统仿真建模方法,旨在拟实反映复杂水域船舶进出港的全过程。结合多智能体系统仿真理论、离散事件仿真理论与多元数据统计分析方法,实现了对复杂水域船舶进出港全年全过程的精细化仿真,并系统总结了可通过建模解决的关键研究问题。  相似文献   
963.
文章详细介绍了FXD3-J型动力集中动车组动力车网络控制系统的结构与组成,对网络设备、系统控制功能、显示界面、冗余特性等进行了阐述。运用考核试验表明,该网络控制系统性能稳定、可靠。  相似文献   
964.
单正辉 《铁道车辆》2021,(1):53-58,63
从列车网络控制系统的拓扑结构、通信协议架构、冗余措施及功能描述等几个方面对基于全以太网的列车网络控制系统在美国地铁列车上的应用进行了详细分析与试验验证。在装车调试之前进行系统集成测试可尽早地发现列车网络控制系统或子系统在硬件和软件方面存在的各种问题,大大节省装车调试所需要的人力和时间。  相似文献   
965.
IMO对全球区域船舶限硫排量要求的生效期限日益临近,船东需提前了解减排方法并采取应对措施。文章浅谈基于Intergraph Smart平台船舶废气脱硫系统的设计流程,并对脱硫改造在三维软件中的设计要点进行归纳与研究。  相似文献   
966.
李勇军 《隧道建设》2022,42(5):900-906
为解决盾尾密封损坏导致的工程安全和进度问题,通过跟踪、统计多项盾构隧道工程盾尾密封使用和更换情况,总结盾尾密封的失效形式,并分析盾尾密封失效的原因,主要表现在盾尾密封设计缺陷、盾尾刷制造与安装质量差、油脂填充质量不高、施工过程控制不严以及应急预案准备不充分等方面。提出基于全过程管理理念的盾尾密封管理方法,从盾尾密封设计、盾尾刷制造和安装、初装油脂、施工管理、应急管理5个阶段,对盾尾密封的全过程管理要点和对策进行系统研究。该方法在中俄东线天然气管道长江盾构穿越工程得到成功应用,保障了盾构施工中盾尾密封安全,为盾尾密封的科学管理提供了新的思路和举措。  相似文献   
967.
对动车组传统单车调试工艺进行了总结对比,阐述了以智能调试系统、数字化平台为基础的自动化调试原理。重点介绍了智能单车调试设备、智能端部模拟器和移动控制终端,分析了单车智能调试技术的发展趋势。  相似文献   
968.
Logit model is one of the statistical techniques commonly used for mode choice modeling, while artificial neural network (ANN) is a very popular type of artificial intelligence technique used for mode choice modeling. Ensemble learning has evolved to be very effective approach to enhance the performance for many applications through integration of different models. In spite of this advantage, the use of ANN‐based ensembles in mode choice modeling is under explored. The focus of this study is to investigate the use of aforementioned techniques for different number of transportation modes and predictor variables. This study proposes a logit‐ANN ensemble for mode choice modeling and investigates its efficiency in different situations. Travel between Khobar‐Dammam metropolitan area of Saudi Arabia and Kingdom of Bahrain is selected for mode choice modeling. The travel on this route can be performed mainly by air travel or private vehicle through King Fahd causeway. The results show that the proposed ensemble gives consistently better accuracies than single models for multinomial choice problems irrespective of number of input variables. Copyright © 2015 John Wiley & Sons, Ltd.  相似文献   
969.
This study proposes Reinforcement Learning (RL) based algorithm for finding optimum signal timings in Coordinated Signalized Networks (CSN) for fixed set of link flows. For this purpose, MOdified REinforcement Learning algorithm with TRANSYT-7F (MORELTRANS) model is proposed by way of combining RL algorithm and TRANSYT-7F. The modified RL differs from other RL algorithms since it takes advantage of the best solution obtained from the previous learning episode by generating a sub-environment at each learning episode as the same size of original environment. On the other hand, TRANSYT-7F traffic model is used in order to determine network performance index, namely disutility index. Numerical application is conducted on medium sized coordinated signalized road network. Results indicated that the MORELTRANS produced slightly better results than the GA in signal timing optimization in terms of objective function value while it outperformed than the HC. In order to show the capability of the proposed model for heavy demand condition, two cases in which link flows are increased by 20% and 50% with respect to the base case are considered. It is found that the MORELTRANS is able to reach good solutions for signal timing optimization even if demand became increased.  相似文献   
970.
Since transportation projects are costly and resources are limited, prioritizing or sequencing the projects is imperative. This study was inspired by a client who asked: “I have tens of approved road extension projects, but my financial resources are limited. I cannot construct all the projects simultaneously, so can you help me prioritize my projects?” To address this question, the benefits and costs of all the possible scenarios must be known. However, the impacts (or benefit) of road extension projects are highly interdependent, and in sizable cases cannot be specified thoroughly. We demonstrate that the problem is analogous to the Traveling Salesman Problem (TSP). Dynamic change in travel demand during construction is another aspect of the complexity of the problem. The literature is yet to provide efficient methods for large cases. To this end, we developed a heuristic methodology in which the variation of travel demand during the construction period is considered. We introduce a geometrical objective function for which a solution-finding policy based on “gradient maximization” is developed. To address the projects’ interdependency, a special neural network (NN) model was devised. We developed a search engine hybridized of Ant Colony and Genetic Algorithm to seek a solution to the TSP-like problem on the NN based on gradient maximization. The algorithm was calibrated and applied to real data from the city of Winnipeg, Canada, as well as two cases based on Sioux-Falls. The results were reliable and identification of the optimum solution was achievable within acceptable computational time.  相似文献   
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