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A Systematic Overview of Decision-Making on Public Transport Systems Using Bibliometric Analysis on Vosviewer 利用 Vosviewer 上的文献计量分析对公共交通系统决策进行系统概述
IF 1.4 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2023-11-01 DOI: 10.2478/ttj-2023-0036
Süleyman Nurullah Adahi Şahin
Abstract From the perspectives of users, operators, and the community, decision making for public transportation is regarded as one of the most crucial characteristics to assess quality, ease and preferable. Studies on the decision-making for public transportation have been published. Comprehensive and quantitative investigations are lacking, nevertheless. Additionally, the Scopus database contains very few assessments of public transport integration. The current evaluation was carried out to provide scholars and practitioners with the most recent updates of papers on public transport and decision-making over the last 18 years (between 2005 and 2023), to allay their worries and address their inquiries about better public transport systems. The purpose of this bibliometric analysis and the overview is to encourage future research and collaboration by illuminating the idea of transport decision making studies, highlighting the paucity of relevant works, and providing a summary of the most productive nations, journals, and institutions in the field. A bibliometric analysis of the publications on public transportation and decision-making obtained from the Scopus database was carried out using the VOSviewer software. This allowed researchers to trace the historical and annual records of publications related to decision making covering the top countries, institutions, journals, most frequently used keywords, authors, citation network analysis, and most cited publications. The analysis’s findings identify the indications and interesting issues spots as well as the publications’ remarkable annual rise in decision-making on public transportation systems.
摘要 从用户、运营商和社区的角度来看,公共交通决策被认为是评估公共交通质量、便捷性和可取性的最关键特征之一。有关公共交通决策的研究已经发表。但还缺乏全面的定量调查。此外,Scopus 数据库中关于公共交通一体化的评估也非常少。本次评估旨在为学者和从业人员提供过去 18 年(2005 年至 2023 年)有关公共交通和决策的最新论文,以消除他们的担忧,解决他们对更好的公共交通系统的疑问。本文献计量分析和综述旨在通过阐明交通决策研究的理念,强调相关著作的匮乏,并总结该领域最有成果的国家、期刊和机构,从而鼓励未来的研究与合作。我们使用 VOSviewer 软件对 Scopus 数据库中有关公共交通和决策的出版物进行了文献计量分析。这样,研究人员就可以追踪与决策相关的出版物的历史和年度记录,其中包括最主要的国家、机构、期刊、最常用的关键词、作者、引文网络分析以及被引用次数最多的出版物。分析结果确定了公共交通系统决策方面的迹象和有趣的问题点,以及出版物每年显著增加的情况。
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引用次数: 0
Optimizing Voyage Costs in Maritime Supply Chains: A Holistic Approach Towards Logistics Service Improvement and Supply Chain Finance 优化海运供应链中的航程成本:物流服务改进和供应链融资的整体方法
IF 1.4 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2023-11-01 DOI: 10.2478/ttj-2023-0028
Gunnar Prause, E. Olaniyi
Abstract The multi-objective optimization for voyage planning, which aims to balance time, fuel utilization, and all other relevant service costs, is noticeably absent in the scientific literature. The reason behind this gap is closely linked to the involvement of a large number of participants with conflicting interests in the process. This complexity explains why modelling an optimization tool for maritime logistics services appears challenging. Although new technologies such as blockchains and smart contracts have helped reduce the number of participants and address some complexities, they cannot fully resolve the fragmentation observed in maritime transport. To address the need for optimized voyage management for vessels, this study takes a holistic approach to voyage costs within the maritime supply chain, similar to how a single company would approach it. The study combines a case study from the container shipping industry, expert interviews, project results, and secondary empirical data research to develop a financial model for optimizing voyage costs. The research opens up opportunities for improving logistics services and developing new business models in the field of supply chain finance.
摘要 以平衡时间、燃料利用率和所有其他相关服务成本为目标的航程规划多目标优化在科学文献中明显缺乏。造成这一空白的原因与这一过程中存在大量利益冲突的参与者密切相关。这种复杂性解释了为什么海事物流服务优化工具的建模似乎具有挑战性。虽然区块链和智能合约等新技术有助于减少参与者的数量并解决一些复杂问题,但它们无法完全解决海运中出现的分散问题。为了满足优化船舶航程管理的需求,本研究采用了一种整体方法来处理海运供应链中的航程成本,类似于单个公司处理航程成本的方法。研究结合了集装箱航运业的案例研究、专家访谈、项目成果和二手实证数据研究,开发了一个优化航程成本的财务模型。该研究为改善物流服务和开发供应链金融领域的新商业模式提供了机会。
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引用次数: 0
On Enhanced Intelligent Water Drops Algorithm for Travelling Salesman Problem under Uncertain Paradigm 不确定范式下旅行商问题的增强智能水滴算法
IF 1.4 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2023-06-01 DOI: 10.2478/ttj-2023-0019
Swapna Halder, H. Sharma, A. Biswas, O. Prentkovskis, S. Majumder, Paulius Skačkauskas
Abstract Travelling salesman problem (TSP) is a well known combinatorial optimization problem which has drawn colossal attention due to its eclectic range of applications. In this article, we have proposed two modified versions of intelligent water drops (IWD) algorithm. The first one is the enhanced IWD (e-IWD) algorithm to solve single objective TSP. In the second modification, e-IWD algorithm has been extended to enhanced multi-objective IWD(e-MIWD) algorithm for solving multi-objective TSP. In order to achieve a better exploration capability in both of the proposed algorithms, the soil and velocity parameters of a randomly selected water drop are updated after every iteration of the algorithm when it traverses all the intermediate vertices for a tour. The proposed algorithms have been compared with some other existing similar algorithms on different benchmark instances of TSPs. Furthermore, we have addressed the TSP for both single and multiple objectives under uncertain environment.
旅行商问题(TSP)是一个著名的组合优化问题,由于其广泛的应用范围而引起了广泛的关注。本文提出了两种改进版本的智能水滴(IWD)算法。第一个是求解单目标TSP的增强型IWD (e-IWD)算法。在第二次修正中,e-IWD算法扩展为求解多目标TSP的增强型多目标IWD(e-MIWD)算法。为了获得更好的探测能力,算法在遍历所有中间点时,每次迭代后都会更新随机选择的水滴的土壤和速度参数。在不同的tsp基准实例上,将所提出的算法与现有的一些类似算法进行了比较。此外,我们还讨论了不确定环境下单目标和多目标的TSP问题。
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引用次数: 1
Improving VoIP Bandwidth Utilization Using the PldE Technique 利用PldE技术提高VoIP带宽利用率
IF 1.4 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2023-06-01 DOI: 10.2478/ttj-2023-0023
Mosleh M. Abualhaj, A. Abu-Shareha, Sumaya N. Al-Khatib, Mahran Al-Zyoud, Adeeb Al Saaidah, Mohammad O. Hiari, Mohammad Alsharaiah
Abstract The use of Voice over Internet Protocol (VoIP) innovation is rising due to its various merits. Nevertheless, the ineffective use of bandwidth is a key dilemma that restricts the fast-rising use of VoIP innovation. The main factor behind this ineffective use of the bandwidth is the sizable VoIP packet preamble. This research creates a technique to address this dilemma of packet preamble. The created technique is known as payload elimination (PldE). The fundamental concept of the PldE technique is to exploit the information (elements) of the VoIP packet preamble that is superfluous for point-to-point calls. In general, these elements are utilized to transport the payload of VoIP packets. Consequently, the payload size of VoIP packet will be lowered or removed, preserving the available bandwidth. The performance test of the PldE technique indicated an improvement of up to 41.6% in the exploitation of IP network bandwidth. So, the PldE technique is showing signs that it could help solve the problem of the IP network's inefficient use of bandwidth.
基于互联网协议的语音(VoIP)由于其多种优点,其应用创新正在兴起。然而,带宽的无效使用是制约VoIP创新快速增长的一个关键难题。这种无效的带宽使用背后的主要因素是相当大的VoIP数据包序言。本研究创造了一种技术来解决这一难题的数据包序言。所创建的技术称为有效负载消除(PldE)。PldE技术的基本概念是利用VoIP数据包序言中的信息(元素),这些信息(元素)对于点对点呼叫是多余的。一般来说,这些元素用于传输VoIP数据包的有效载荷。因此,VoIP数据包的有效载荷大小将被降低或删除,以保持可用带宽。PldE技术的性能测试表明,在IP网络带宽的利用方面,该技术的性能提高了41.6%。因此,PldE技术显示出它可以帮助解决IP网络带宽使用效率低下的问题。
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引用次数: 0
Air Traffic Management Using a GPU-Accelerated Genetic Algorithm 基于gpu加速遗传算法的空中交通管理
IF 1.4 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2023-06-01 DOI: 10.2478/ttj-2023-0021
Rahul Rampure, Raghav Tiruvallur, Vybhav. K. Acharya, Shashank Navad, P. Preethi
Abstract Air traffic management is becoming highly complex with the rapid increase in the number of commercial and cargo flights, leading to increased traffic congestion and flight delays. To mitigate these issues, we present a flight path generation system that distributes the aeroplanes across the airspace and imparts minimal delays to the flight if required, thus ensuring that the aircraft follows the shortest route wherein it encounters the least amount of traffic. We develop a parallel genetic algorithm in CUDA-C with a novel fitness function allowing the system to reach an optimal solution where the air traffic density is minimised. The proposed algorithm was tested on one day's domestic flight schedule and achieved an 18% reduction in traffic density, with the flight times and delays remaining proportional to the data observed in the existing air traffic management system.
随着商业和货运航班数量的迅速增加,空中交通管理变得高度复杂,导致交通拥堵和航班延误增加。为了缓解这些问题,我们提出了一个飞行路径生成系统,该系统将飞机分配到整个空域,并在必要时给予飞行最小的延误,从而确保飞机遵循最短的路线,其中遇到的交通量最少。我们在CUDA-C中开发了一种并行遗传算法,该算法具有新颖的适应度函数,使系统能够达到空中交通密度最小的最佳解决方案。该算法在一天的国内航班时刻表上进行了测试,实现了18%的交通密度降低,飞行时间和延误保持与现有空中交通管理系统中观察到的数据成正比。
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引用次数: 0
Simulation Studies of Link Group in Elastic Optical Networks Used in Internet of Things Solutions 物联网解决方案中弹性光网络链路组仿真研究
IF 1.4 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2023-06-01 DOI: 10.2478/ttj-2023-0022
M. Głąbowski, M. Sobieraj
Abstract The elastic optical network (EON) solution is the most flexible in terms of allocation of resources for various traffic streams transported in core part (edge-cloud) of Internet of Things (IoT) networks. This paper presents the results of a study on the determination of the occupancy distribution and the loss probability for particular traffic flows offered in EONs supporting IoT systems. The purpose of the research was to determine the impact of: the number of links making up a group, the numbers of frequency slot units (FSUs) in individual EON link, the traffic intensity of individual traffic flows, the capacity of the EON link (number of FSUs) and the number of FSUs requested by different traffic streams. The developed simulation program of link group of EON allows the calculation of the values of the occupancy distribution and loss probability. The results obtained from the simulation are presented on the graphs in the form of points with confidence intervals.
摘要弹性光网络(EON)是物联网(IoT)网络核心部分(边缘云)传输的各种流量的资源分配最灵活的解决方案。本文介绍了一项研究的结果,该研究确定了支持物联网系统的EONs提供的特定交通流的占用分布和损失概率。研究的目的是确定以下因素的影响:组成组的链路数量、单个EON链路中的频率槽单元(fsu)数量、单个流量流的流量强度、EON链路的容量(fsu数量)以及不同流量流请求的fsu数量。开发的EON链路组仿真程序可以计算占用分布和损失概率值。仿真结果以点和置信区间的形式表示在图上。
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引用次数: 0
Traffic Monitoring System for Vehicle Detection in Day and Night Conditions 昼夜条件下车辆检测的交通监控系统
IF 1.4 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2023-06-01 DOI: 10.2478/ttj-2023-0020
I. Slimani, Abdelmoghit Zaarane, Issam Atouf
Abstract In this work, a day and night time vehicle detection system for traffic surveillance is proposed. Our system is composed of two main processes, day time and night time processes. In the night time, the vehicles are detected based on their taillights and headlights. First of all, the 2D-DWT (Two Dimensional Discrete Wavelet Transform) and the background subtraction are applied to the input image. Then, the connected component technique is used to extract the region of interest. If it is the daytime, the connected component candidates are taken as potential vehicles after applying a pre-processing algorithm to improve the result. If it is the night-time, a filtering operation is used to keep only the bright white and red connected component candidates (which represent potential headlights and taillights, respectively). Finally, potential lamp sets are formed by grouping the extracted components on the basis of their positions, sizes, and colours. The potential extracted vehicles are classified as a vehicle or non-vehicle by using a pre-trained CNN (Convolutional Neural Network) classifier. The proposed system was tested and evaluated using different works from the literature. The experiments show that our proposed system has reached a high accuracy in terms of vehicle detection process whether in day or night time. The experiments were performed using four different videos and were implemented using the C++ language, which facilitates mathematical computation, and its OpenCV library, which is used to run the image processing algorithms used, as well as the TensorFlow library, which facilitates transfer learning of pre-trained CNN models.
本文提出了一种用于交通监控的昼夜车辆检测系统。我们的系统由两个主要过程组成,白天时间和夜间时间过程。在夜间,车辆的尾灯和前灯被检测到。首先对输入图像进行二维离散小波变换(2D-DWT)和背景相减。然后,利用连通分量技术提取感兴趣区域。如果是白天,则采用预处理算法改进结果后,将连接的候选部件作为潜在车辆。如果是在夜间,则使用过滤操作只保留明亮的白色和红色连接的候选组件(分别代表潜在的前灯和尾灯)。最后,根据提取的组件的位置、大小和颜色进行分组,形成潜在的灯组。使用预训练的CNN(卷积神经网络)分类器将潜在提取的车辆分类为车辆或非车辆。使用文献中的不同作品对所提出的系统进行了测试和评估。实验结果表明,该系统无论在白天还是夜间都能达到较高的车辆检测精度。实验使用了四个不同的视频,并使用c++语言实现,该语言便于数学计算,其OpenCV库用于运行所使用的图像处理算法,以及TensorFlow库,用于促进预训练CNN模型的迁移学习。
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引用次数: 1
Improving of Interaction of Routes at High Density Stops by Adjusting Bus Arrival Time 通过调整公交到站时间改善高密度站点路线的互动性
IF 1.4 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2023-06-01 DOI: 10.2478/ttj-2023-0025
F. Dashdamirov
Abstract A significant part of the movement of the population in large cities is carried out by bus transport. Higher accessibility and connection to the network of other types of public transport are the main features of bus transport. The need for mass passenger transportation in Baku mainly is met by the metro and bus transport. A small number of metro stations and insufficient coverage of the city territory by metro network have significantly increased the load on the bus service. With the increase in passenger traffic, the frequency of bus routes has increased, and the intervals have decreased. As a result, bus traffic on some streets has become more intense. This led to an increase in the number of buses arriving at the stops at the same time and the formation of queues in front of the stops. To solve the problem, the article proposes a method for coordinating bus schedules of different routes and adjusting the time of arrival at a stop without changing the intervals. As a result of applying the proposed methodology, by modelling the sequence of bus arrivals in the Anylogic program, a reduction in queues and loss of time in front of the bus stop is justified. Simulation testing was carried out for the scenario of bus movement both in the general flow and along the bus lane.
大城市的人口流动中有很大一部分是通过公共汽车运输进行的。公共汽车交通的主要特点是可达性和与其他类型的公共交通网络的连接。巴库的大规模客运需求主要由地铁和公共汽车运输来满足。由于地铁站数量少,地铁网络对城市范围的覆盖不足,大大增加了公交服务的负荷。随着客流量的增加,公交线路的班次增加,间隔时间减少。因此,一些街道上的公共汽车交通变得更加拥挤。这导致同时到达车站的公共汽车数量增加,车站前形成了长队。为了解决这一问题,本文提出了一种在不改变间隔的情况下,协调不同路线的公交调度,调整到站时间的方法。应用所提出的方法的结果是,通过在Anylogic程序中模拟公共汽车到达的顺序,减少在公共汽车站前排队和时间损失是合理的。对公交车在一般流和沿公交车道行驶的场景进行了模拟试验。
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引用次数: 1
Design, Modelling and Research of an Antenna System for Transmitting and Receiving Information in Satellite Systems 卫星信息收发天线系统的设计、建模与研究
IF 1.4 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2023-06-01 DOI: 10.2478/ttj-2023-0024
I. Islamov, Arzu Safarli
Abstract The work deals with the design, modelling and research of an antenna system for transmitting and receiving information in satellite systems. It was revealed that this antenna array with a transmitter of 85 dBWt is guaranteed to solve the target problem of providing mobile satellite communications with both one global beam and a plurality of beams with a width of 0,7 × 0,7°. It should be added that the advantage of forming multiple beams compared to a global beam with a single phased antenna array is: higher data rate, relatively low requirements for antenna systems of ground stations, greater noise immunity of the radio link, the ability to dynamically control the signal power in each beam.
摘要:本文主要研究卫星系统中用于信息收发的天线系统的设计、建模和研究。结果表明,该发射机功率为85 dBWt的天线阵列能够保证同时提供一个全局波束和多个波束宽度为0.7 × 0.7°的移动卫星通信目标问题。需要补充的是,与使用单相天线阵列形成全局波束相比,形成多波束的优点是:数据速率更高,对地面站天线系统的要求相对较低,无线电链路的抗噪声能力更强,能够动态控制每个波束中的信号功率。
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引用次数: 2
Transformation of the University in the Age of Artificial Intelligence: Models and Competences 人工智能时代的大学转型:模式与能力
IF 1.4 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2023-06-01 DOI: 10.2478/ttj-2023-0017
I. Kabashkin, Boriss Misnevs, Aliaksandr Puptsau
Abstract The article considers the possible concepts of the university of the near future considering the real emergence of special artificial intelligence applicable in the field of higher education. The authors propose a new university model (5th generation university) based on rethinking the use of the concept of competence and applied results in the field of cognitive sciences. It is proposed to revise the existing classical set of professional and social competencies, which will consider the redistribution of responsibilities in society between a person and intellectual systems. The technical readiness of society is assessed to significantly expand the scope of the use of IT technologies and free up human resources for creative activity.
摘要:本文考虑到在高等教育领域中应用的特殊人工智能的真正出现,对不久的将来大学可能的概念进行了思考。作者在重新思考能力概念和认知科学领域应用成果的基础上,提出了一种新的大学模式(第五代大学)。建议修改现有的经典专业和社会能力,这将考虑在个人和智力系统之间的社会责任的再分配。评估社会的技术准备程度,以大幅扩大资讯科技的使用范围,并腾出人力资源进行创意活动。
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引用次数: 2
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Transport and Telecommunication Journal
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