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Urban rail component operation quality detection system based on deep learning and bilateral threshold algorithm 基于深度学习和双边阈值算法的城市轨道部件运行质量检测系统
Pub Date : 2022-11-21 DOI: 10.1117/12.2652823
Xin Huang, L. Yin
As an important part of the bogie, the health of the rotating parts of urban rail vehicles directly determines the safety of vehicle operation. The traditional manual train inspection method can only judge whether there is a fault through the appearance state, which is time-consuming. This paper, for the starter, puts forward a scheme- that is to install trackside thermal imager in the return reservoir area to cover vehicle rotating parts, and to complete the screening gearbox, based on YoLo-v4 deep learning frame; for the second, a train inspection quality evaluation algorithm based on temperature is also proposed, effectively extracting fault features and evaluate the working condition of components.
城市轨道车辆旋转部件作为转向架的重要组成部分,其健康与否直接决定着车辆运行的安全性。传统的人工列车检测方法只能通过外观状态判断是否存在故障,耗时长。本文针对起动器提出了基于YoLo-v4深度学习框架,在回库区安装轨侧热像仪覆盖车辆旋转部件,完成变速箱筛选的方案;其次,提出了一种基于温度的列车检测质量评价算法,有效地提取了故障特征,并对部件的工作状态进行了评价。
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引用次数: 0
Research on the scale and density of China's highway network 中国公路网规模与密度研究
Pub Date : 2022-11-21 DOI: 10.1117/12.2652488
Zonghao Rao, R. Sun, Yu Wang, Junling Ma
The scale and density of highway network is an intuitive indicator to understand and analyze the development level of regional highway. In this paper, we use the density index to compare and analyze the difference in the development level of highway networks between China and the world's major transportation power countries, and we also analyze the development law of highway network scale. On this basis, combined with the future economic and social development trends, we put forward some strategies for the development of China's highway network, which can provide reference for the formulation of highway network planning and related policies.
公路网的规模和密度是了解和分析区域公路发展水平的直观指标。本文运用密度指数对中国与世界主要交通强国公路网发展水平的差异进行了比较分析,并分析了公路网规模的发展规律。在此基础上,结合未来经济社会发展趋势,提出了中国公路网发展的一些策略,可为公路网规划及相关政策的制定提供参考。
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引用次数: 0
Research on risk control of ship cargo transportation safety 船舶货物运输安全风险控制研究
Pub Date : 2022-11-21 DOI: 10.1117/12.2652683
Z. Ma, Yaoliang Huang, Yang Cao
Maritime transportation of goods is the main way of international trade today, accounting for more than two thirds of the total trade. However, ship cargo transportation has the characteristics of huge transportation network, complex and diverse types of goods and many uncertain factors, and there are potential safety hazards. Once an accident occurs, it may cause serious safety accidents and cargo damage. Therefore, it is of objective and practical significance to reveal the safety risks of ship cargo transportation from a macro perspective. This paper analyzes the factors affecting the safety of ship cargo transportation from the aspects of people, goods and environment. In the aspect of human factors, this paper discusses the related role of people in the process of cargo transportation and the potential factors affecting the safety of cargo transportation. In terms of cargo factors, the nature classification of goods and the influence of packaging methods on ship transportation are introduced in detail. In terms of environmental factors, the influence of maritime traffic environment and hydrometeorology on cargo transportation is analyzed. In this paper, the related issues of ship cargo transportation safety are deeply studied, and targeted measures are put forward in order to reduce or eliminate potential risks, so as to achieve the purpose of controlling ship cargo transportation risks.
海上货物运输是当今国际贸易的主要方式,占贸易总额的三分之二以上。然而,船舶货物运输具有运输网络庞大、货物种类复杂多样、不确定因素多的特点,存在安全隐患。一旦发生事故,可能会造成严重的安全事故和货物损坏。因此,从宏观角度揭示船舶货物运输的安全风险具有客观和现实意义。本文从人、货、环境三个方面分析了影响船舶货物运输安全的因素。在人的因素方面,论述了人在货物运输过程中的相关作用以及影响货物运输安全的潜在因素。在货物因素方面,详细介绍了货物的性质分类和包装方式对船舶运输的影响。在环境因素方面,分析了海上交通环境和水文气象对货物运输的影响。本文对船舶货物运输安全的相关问题进行了深入的研究,并有针对性地提出了降低或消除潜在风险的措施,从而达到控制船舶货物运输风险的目的。
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引用次数: 0
COVID-19 epidemic prevention and control status and research progress of related technologies in Chinese ports 中国口岸新冠肺炎疫情防控现状及相关技术研究进展
Pub Date : 2022-11-21 DOI: 10.1117/12.2652863
Zhijun Chen, Jian Guo, Xia Zhang, Y. Wei, Jinling Bao, Haiqi Tang, Yun Zhao
During the Covid-19 global pandemic, exposure to cold cargo surfaces contaminated with Covid-19 was first identified as a potential cause of infection. Given that the epidemic situation in China is basically stable, epidemic prevention and control of cold chain cargo handling operations in Chinese ports is one of the key points for the country. It is concluded that the main risk link that may cause the spread of the epidemic is the unpacking of cold chain cargo containers by analyzing the process and characteristics of port cold chain cargo handling. In order to prevent imported epidemics from abroad, Chinese ports have taken countermeasures such as virus detection and sterilization. At present, nucleic acid detection measures have been adopted for the virus detection on the surface of goods, but the sampling quantity and method are lack of unified regulations, and the detection takes a long time. The mobile cabin PCR laboratories are used in some areas to improve the timeliness, and the virus detection on the surface of goods needs more sensitive and rapid detection technology. In the process of comprehensive preventive disinfection of goods, it was found that the disinfection efficiency of common disinfectants in low-temperature environment was greatly reduced, and a variety of new low-temperature disinfectants were rapidly developed. The disinfection technology based on deep UV LED, UV catalysis, nuclear radiation and other physical technologies have brought a new revolution to the disinfection of the new coronavirus on the surface of low-temperature objects. Due to the global pandemic of novel coronavirus and its continuous variation, technical measures for epidemic prevention and control have developed rapidly. From the prevention and control experience of Chinese ports in combating the epidemic, epidemic prevention and control is a systematic project, which requires the combination of various technical measures and close cooperation of multiple links.
在2019冠状病毒病全球大流行期间,接触被Covid-19污染的冷货物表面首次被确定为感染的潜在原因。鉴于中国疫情基本稳定,中国港口冷链货物装卸业务的疫情防控是国家的重点之一。通过对港口冷链货物装卸流程和特点的分析,认为可能导致疫情传播的主要风险环节是冷链货物集装箱拆箱。为防止境外输入性疫情,中国口岸采取了病毒检测、消毒等防控措施。目前,对商品表面的病毒检测已采用核酸检测措施,但采样数量和方法缺乏统一规定,检测时间长。部分地区采用移动舱PCR实验室提高时效性,而对物品表面的病毒检测需要更灵敏、快速的检测技术。在对商品进行全面预防性消毒的过程中,发现普通消毒剂在低温环境下的消毒效率大大降低,各种新型低温消毒剂迅速开发出来。基于深紫外LED、紫外线催化、核辐射等物理技术的消毒技术,给低温物体表面新型冠状病毒的消毒带来了新的革命。由于新型冠状病毒的全球大流行及其持续变异,疫情防控技术措施发展迅速。从中国口岸抗击疫情的防控经验来看,疫情防控是一项系统工程,需要多种技术措施相结合,需要多个环节密切配合。
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引用次数: 1
Cause analysis of ship collision accident based on Bayesian network 基于贝叶斯网络的船舶碰撞事故原因分析
Pub Date : 2022-11-21 DOI: 10.1117/12.2652600
Wang Fengwu, Guo Lianqi, Wang Le
With the development of society, international trade is playing an important role. Maritime transport has become the main mode of transport in international trade with its advantages of low transport price, large transport volume and low environmental pollution. However, the rapid development of maritime transport is accompanied by the risk of maritime accidents. Studies show that ship collision accident has always been the main type of maritime accidents, and ship collision caused by human factors accounts for more than 90% of the total accidents. It has become a key issue in the research field of ship navigation safety to analyze the causes of ship collision and explore the mechanism of human factors. By analyzing the ship collision accident reports, this paper summarizing the main human factors of ship collision, and through analyzing the causal chain of ship collision accident to determine the Bayesian network structure. Finally, this paper using the accident reports into the model to illustrate the effectiveness of the Bayesian network model; meanwhile, by analyzing the cause of the Bayesian network model, this paper gets most likely cause chain that cause collision accident happens, so as to providing safety management countermeasures for the crew, ship company and ship safety management department.
随着社会的发展,国际贸易发挥着重要的作用。海运以其运输价格低、运输量大、环境污染小等优势,已成为国际贸易中主要的运输方式。然而,海上运输的快速发展伴随着海上事故的风险。研究表明,船舶碰撞事故一直是海上事故的主要类型,人为因素造成的船舶碰撞事故占事故总数的90%以上。分析船舶碰撞的原因,探讨人为因素的作用机理,已成为船舶航行安全研究领域的一个关键问题。本文通过对船舶碰撞事故报告的分析,总结了船舶碰撞事故的主要人为因素,并通过分析船舶碰撞事故的因果链来确定贝叶斯网络结构。最后,本文将事故报告引入到模型中来说明贝叶斯网络模型的有效性;同时,通过贝叶斯网络模型的原因分析,得出导致碰撞事故发生的最可能原因链,从而为船员、船公司和船舶安全管理部门提供安全管理对策。
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引用次数: 0
A scheme for train communication information management in onboard-centered train control system 一种以车载为中心的列车控制系统中列车通信信息管理方案
Pub Date : 2022-11-21 DOI: 10.1117/12.2652771
Zixuan Yang, Lei Yuan, Yu Liu
The latest development trend of train control system is to realize autonomous control of trains through vehicle-ground and vehicle-vehicle wireless communication. In this paper, we propose a scheme to manage the communication information of the train, which is suitable for the onboard-centered train control system. This scheme explains the parts that the train and ground equipment are responsible for in the process of managing the train's communication information, and how they work in each scenario by describing their message interaction flow. The features of the scheme are distributed management and data self-recovery after equipment failure. Then, a time automaton model is established with the train communication information management process in the train registration scenario as the object, and the function of the scheme is verified by the UPPAAL tool. The verification results show that the designed scheme can complete the train communication information management function when the equipment works normally, or a single ground equipment fails.
列车控制系统的最新发展趋势是通过车地通信和车车无线通信实现列车的自主控制。本文提出了一种适用于以车载为中心的列车控制系统的列车通信信息管理方案。该方案通过描述列车和地面设备在管理列车通信信息过程中所负责的部分,以及它们在各个场景下的工作方式。该方案的特点是分布式管理和设备故障后数据自恢复。然后,以列车注册场景下的列车通信信息管理过程为对象,建立了时间自动机模型,并通过UPPAAL工具对方案的功能进行了验证。验证结果表明,所设计的方案能够在设备正常工作或单个地面设备出现故障时完成列车通信信息管理功能。
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引用次数: 0
Analysis of passenger flow characteristics in suburban section of urban rail transit 城市轨道交通城郊段客流特征分析
Pub Date : 2022-11-21 DOI: 10.1117/12.2652544
Qi-xiang Lian, Ying-chih Lu, Yuxuan Lin, Y. Liu, Xixi Ye
The rapid development of urban rail transit has greatly improved the convenience and accessibility of people's travel, but it also brings some new challenges. Passenger flow analysis is an important link in the construction of urban rail transit, and it is also the basis of various design work. The accuracy of the analysis is directly related to the construction investment, operation efficiency and economic benefits of urban rail transit. Based on the analysis of the passenger flow of urban rail transit in the suburbs, this paper expounds the passenger flow characteristics of urban rail transit in various situations.
城市轨道交通的快速发展极大地提高了人们出行的便利性和可达性,但同时也带来了一些新的挑战。客流分析是城市轨道交通建设的重要环节,也是各项设计工作的基础。分析的准确性直接关系到城市轨道交通的建设投资、运营效率和经济效益。本文在分析近郊城市轨道交通客流的基础上,阐述了不同情况下城市轨道交通的客流特征。
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引用次数: 0
Analysis on influencing factors of illegal driving of rail drivers 铁路司机非法驾驶影响因素分析
Pub Date : 2022-11-21 DOI: 10.1117/12.2652681
Chuang Gao, Meng Zhang, Yang Li
With the high attention to the safety of rail transit operation, the rail driver as the main body of the rail transit system, the driver has a crucial impact on the safety of operation. In order to study the influencing factors of illegal driving of rail drivers, 301 rail drivers in a city subway company in China were investigated by questionnaire. And the use of SPSS 25.0 data analysis software for the driver's age, driving age and other basic situation descriptive analysis and correlation analysis, to explore the relationship between human biological rhythm theory and the driver 's illegal driving, to determine the scope of the critical day of serious illegal driving, is conducive to the scientific arrangement of the driver 's driving work, provides a reference for the safe operation of rail transit.
随着人们对轨道交通运营安全的高度重视,轨道驾驶员作为轨道交通系统的主体,驾驶员对轨道交通运营安全有着至关重要的影响。为了研究铁路司机违法驾驶的影响因素,对中国某城市地铁公司301名铁路司机进行了问卷调查。并利用SPSS 25.0数据分析软件对驾驶员年龄、驾驶年龄等基本情况进行描述性分析和相关性分析,探讨人体生物节律理论与驾驶员违法驾驶的关系,确定严重违法驾驶的危险日范围,有利于科学安排驾驶员的驾驶工作,为轨道交通的安全运行提供参考。
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引用次数: 0
Research on the long tail distribution of pedestrian flow at signalized intersections 信号交叉口行人流长尾分布研究
Pub Date : 2022-11-21 DOI: 10.1117/12.2652480
L. Cheng, Zirong Ren, Chenhao Zhang, Peng Zhang, Maocan Song
Pedestrian crossing at signal-controlled intersections is a hot and challenging problem in slow traffic research. On the one hand, the signal-controlled intersection is a typical mixed traffic environment where pedestrians crossing the street as well as vehicles, will constantly conflict and threaten road traffic safety. On the other hand, compared with other parts, the tail of pedestrian flow occupies a large amount of intersections’ space and time resources, which greatly hinders the passage of right-turning vehicles. Therefore, it is significant to study the characteristics of pedestrian crossing, especially the characteristics of the tail of pedestrian flow crossing at the intersections. It can not only enrich relevant research and provide reference for optimizing the timing of intersection signals, but also improve the pedestrian crossing environment and alleviating traffic congestion. In this paper, the video data of the intersection of Yanta North Road and Jianxi Street, the intersection of Xiaozhai West Road and Hanguang Road, as well as the intersection of Keji Second Road and Taibai South Road were collected by UAV. The track data of pedestrians and vehicles were extracted by OpenCV, YoloV3 and DeepSort. The pedestrian quantity-time curve was plotted for single one way and multiple two-way street crossings. It is found that there is a good fitting effect between the curve and one-dimensional Gaussian function. Based on this, the actual speed and average waiting time of right-turning vehicles passing the crosswalk are compared respectively under the long tail distribution of different significance degrees. The result shows the long tail distribution of pedestrian crossing can obviously reduce the speed of right-turning vehicles and prolong the average waiting time.
信号控制交叉口行人过路是慢速交通研究中的热点和难点问题。一方面,信号控制交叉口是典型的混合交通环境,行人和车辆在过马路时会不断发生冲突,威胁道路交通安全。另一方面,与其他部分相比,行人流尾部占用了大量的交叉口空间和时间资源,极大地阻碍了右转车辆的通行。因此,研究人行横道的特性,特别是十字路口人行横道尾部的特性具有重要意义。不仅可以丰富相关研究,为优化交叉口信号配时提供参考,还可以改善行人过街环境,缓解交通拥堵。本文采用无人机采集了雁塔北路与建西街交叉口、小寨西路与汉光路交叉口、科技二路与太白南路交叉口的视频数据。行人和车辆的轨迹数据通过OpenCV、YoloV3和DeepSort进行提取。绘制了单行道和多个双行道交叉口的行人数量-时间曲线。结果表明,该曲线与一维高斯函数具有良好的拟合效果。在此基础上,分别比较了不同显著度长尾分布下右转车辆通过人行横道的实际速度和平均等待时间。结果表明,人行横道的长尾分布可以明显降低右转车辆的速度,延长平均等待时间。
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引用次数: 0
Train timetable optimization of urban rail transit in rush hours based on the dynamic pricing strategy 基于动态定价策略的城市轨道交通高峰时段列车时刻表优化
Pub Date : 2022-11-21 DOI: 10.1117/12.2652448
Xiaoli Zhao, D. Li, Yaqiong Zhao
In recent years, with the rapid growth of urban residents' travel demand, especially during rush hours, urban rail transit faces a huge challenge of serious mismatch between transportation capacity and passenger demand. To solve this problem, this paper analyzes the relationship among passenger demand, train timetables and price, tries to adjust the passenger demand distribution using a dynamic pricing strategy, and based on this, constructs a train timetable optimization model with the objective of minimizing the passengers’ waiting time at stations and designs a corresponding genetic algorithm to solve it. The practicality of the model and algorithm is verified by an example. The results of the example prove that the passenger demand during the rush hour decreases significantly based on the dynamic pricing strategy, and the optimized train timetable also adapts to the passenger demand better, effectively shortens the passenger waiting time at the station and relieves the crowded situation of the station during the rush hours.
近年来,随着城市居民出行需求的快速增长,尤其是高峰时段,城市轨道交通面临着运力与客运需求严重不匹配的巨大挑战。为了解决这一问题,本文分析了乘客需求、列车时刻表和价格之间的关系,尝试采用动态定价策略调整乘客需求分布,并在此基础上构建了以乘客在车站等待时间最小为目标的列车时刻表优化模型,并设计了相应的遗传算法进行求解。通过算例验证了模型和算法的实用性。算例结果证明,基于动态定价策略的列车高峰时段乘客需求显著降低,优化后的列车时刻表也能更好地适应乘客需求,有效缩短了乘客在车站候车时间,缓解了车站高峰时段的拥挤状况。
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引用次数: 0
期刊
Frontiers of Traffic and Transportation Engineering
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