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Enhancing Cold Chain Logistics: A Framework for Advanced Temperature Monitoring in Transportation and Storage 加强冷链物流:先进的运输和储存温度监控框架
Pub Date : 2024-01-29 DOI: 10.56578/mits030102
Vukašin Pajić, Milan Andrejić, Prasenjit Chatterjee
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引用次数: 0
Automated Development of Railway Signalling Control Tables: A Case Study from Serbia 铁路信号控制台的自动化开发:塞尔维亚案例研究
Pub Date : 2023-12-08 DOI: 10.56578/mits020404
Ivan Ristic
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引用次数: 0
Machine Learning for Road Accident Severity Prediction 道路事故严重性预测的机器学习
Pub Date : 2023-12-05 DOI: 10.56578/mits020403
Koteswararao Kodepogu, Vijaya Bharathi Manjeti, Atchutha Bhavani Siriki
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引用次数: 0
Advanced Vehicle Detection and License Plate Recognition via the Kanade-Lucas-Tomasi Technique 基于Kanade-Lucas-Tomasi技术的先进车辆检测和车牌识别
Pub Date : 2023-11-13 DOI: 10.56578/mits020401
Egina Nyati, John Sabelo Mahlalela
The optimization of traffic flow, enhancement of safety measures, and minimization of emissions in intelligent transportation systems (ITS) pivotally depend on the Vehicle License Plate Recognition (VLPR) technology. Challenges predominantly arise in the precise localization and accurate identification of license plates, which are critical for the applicability of VLPR across various domains, including law enforcement, traffic management, and both governmental and private sectors. Utilization in electronic toll collection, personal security, visitor management, and smart parking systems is commercially significant. In this investigation, a novel methodology grounded in the Kanade-Lucas-Tomasi (KLT) algorithm is introduced, targeting the localization, segmentation, and recognition of characters within license plates. Implementation was conducted utilizing MATLAB software, with grayscale images derived from both still cameras and video footage serving as the input. An extensive evaluation of the results revealed an accuracy of 99.267%, a precision of 100%, a recall of 99.267%, and an F-Score of 99.632%, thereby surpassing the performance of existing methodologies. The contribution of this research is significant in addressing critical challenges inherent in VLPR systems and achieving an enhanced performance standard.
智能交通系统中优化交通流量、加强安全措施、减少排放等关键技术都依赖于车牌识别技术。挑战主要出现在车牌的精确定位和准确识别方面,这对于VLPR在各个领域的适用性至关重要,包括执法、交通管理以及政府和私营部门。在电子收费、个人安全、访客管理和智能停车系统中的应用具有重要的商业意义。在本研究中,介绍了一种基于Kanade-Lucas-Tomasi (KLT)算法的新方法,旨在定位,分割和识别车牌中的字符。使用MATLAB软件进行实现,以来自静止摄像机和视频片段的灰度图像作为输入。对结果的广泛评估显示,准确率为99.267%,精密度为100%,召回率为99.267%,f分数为99.632%,从而超越了现有方法的性能。本研究的贡献在解决VLPR系统固有的关键挑战和实现增强的性能标准方面具有重要意义。
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引用次数: 0
A Comprehensive Exploration of Resource Allocation Strategies within Vehicle Ad-Hoc Networks 车载Ad-Hoc网络中资源分配策略的综合探索
Pub Date : 2023-09-30 DOI: 10.56578/mits020305
Sadashiviah Sheela, Kanathur Ramaswamy Nataraj, Srikantaswamy Mallikarjunaswamy
In recent years, a surge in the utilisation of vehicle-to-vehicle (V2V) communication has been observed, serving as a pivotal factor in facilitating automatic control of vehicles without human intervention. This advancement has notably curtailed accident rates, mitigated traffic congestions, and augmented vehicular security. Consequently, a meticulous survey has been orchestrated in the domain of Vehicle Ad-Hoc Networks (VANETs), particularly as autonomous vehicles pervade urban landscapes. The necessity for resources to assure secure and consistent operations of an escalating fleet commensurately intensifies with the enlargement of the fleet itself. Intelligent Transportation Systems (ITS) hinge upon VANETs to furnish travellers with secure and pleasant journeys, pertinent information and entertainment, traffic management, route optimisation, and accident prevention. Nevertheless, a plethora of challenges inhibits the delivery of an adequate Quality of Service (QoS) within vehicular networks, such as congested and interrupted wireless channels, a progressively saturated and sprawling spectrum, hardware inconsistencies, and the swift expansion of vehicular communication systems. Contemporary networks and energy grids are subject to strain from daily and recreational activities. As demand perpetually ascends, a necessity arises for more refined tools and methodologies for resource management and a more precise distribution system. This investigation offers an exploration of the most recent practices and trends in VANET resource allocation, with the objective of garnering insights into the existing research landscape and its impelling forces.
近年来,车辆对车辆(V2V)通讯的应用大幅增加,这是在没有人为干预的情况下实现车辆自动控制的关键因素。这一进步显著降低了事故率,缓解了交通拥堵,增强了车辆安全性。因此,在车辆自组织网络(VANETs)领域进行了细致的调查,特别是在自动驾驶汽车遍布城市景观的情况下。随着船队本身的扩大,确保不断升级的船队的安全和持续运作所需的资源也相应增加。智能交通系统(ITS)依靠VANETs为旅客提供安全愉快的旅程、相关信息和娱乐、交通管理、路线优化和事故预防。然而,大量的挑战阻碍了在车载网络中提供足够的服务质量(QoS),例如拥挤和中断的无线信道,逐渐饱和和蔓延的频谱,硬件不一致以及车载通信系统的迅速扩展。当代网络和能源网受到日常和娱乐活动的压力。随着需求的不断增长,需要更精细的工具和方法来进行资源管理,以及更精确的分配系统。这项调查提供了对VANET资源分配的最新实践和趋势的探索,目的是获得对现有研究景观及其推动力的见解。
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引用次数: 0
Enhanced vehicle performance through nonlinear finite element analysis of tyre-soil interaction 通过轮胎-土壤相互作用的非线性有限元分析提高车辆性能
Pub Date : 2023-09-30 DOI: 10.56578/mits020304
Fatemeh Aliramezani, None Tashi
In this investigation, critical insights into the complex interactions between tyres and soil are explored through the utilization of nonlinear finite element analysis (FEA), bearing significant implications for vehicle dynamics, safety, and performance. Maximal shear stress values, identified through shear stress analyses, reveal a peak of 8.4 MPa in the tyre-road contact region and an approximately uniform shear stress of 1.703 MPa in alternative areas, laying the foundation for advancements in tyre design optimisation. It was demonstrated that tyre designs necessitate optimisation to specific ground materials to fulfil essential traction requirements and preclude sinking. For interfaces involving soil and neoprene rubber, the contact status at the mid-section zone was observed to be in a sticking condition, transitioning to sliding as the observation point moved away from the centre. The research highlighted that through nonlinear analysis, accurate predictions of tyre behaviour under fluctuating loads can be achieved, thereby aiding in the formulation of designs for more fuel-efficient tyres and enhanced wet-weather handling. However, the study recognises the constraints imposed by simplifications within the tyre model, omission of dynamic behavioural factors, and assumptions regarding unvarying friction coefficients. While the analysis was confined to particular material models and validation was executed primarily via numerical simulations, findings affirm that strategic application of nonlinear FEA elucidates pivotal factors in tyre-soil interaction, propelling the establishment of safer and more performance-oriented vehicle models.
在本研究中,通过使用非线性有限元分析(FEA),探索了轮胎与土壤之间复杂相互作用的关键见解,对车辆动力学,安全性和性能具有重要意义。通过剪应力分析确定的最大剪应力值显示,轮胎与路面接触区域的剪应力峰值为8.4 MPa,其他区域的剪应力近似均匀,为轮胎设计优化奠定了基础。研究表明,轮胎设计需要针对特定的地面材料进行优化,以满足基本的牵引力要求并防止下沉。对于涉及土壤和氯丁橡胶的界面,观察到中间区域的接触状态处于粘着状态,随着观测点远离中心而过渡到滑动状态。研究强调,通过非线性分析,可以准确预测轮胎在波动载荷下的行为,从而有助于制定更省油的轮胎设计,并增强潮湿天气的处理能力。然而,该研究承认了轮胎模型简化所带来的限制,遗漏了动态行为因素,以及关于不变摩擦系数的假设。虽然分析仅限于特定的材料模型,并且主要通过数值模拟进行验证,但研究结果证实,非线性有限元分析的战略性应用阐明了轮胎-土壤相互作用的关键因素,推动了更安全、更以性能为导向的车辆模型的建立。
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引用次数: 0
Regional Transformation via Rail: A Historical and Analytical Examination of Iran's Railway Network and its Socio-Economic Impacts 通过铁路进行区域转型:对伊朗铁路网及其社会经济影响的历史和分析研究
Pub Date : 2023-09-27 DOI: 10.56578/mits020303
Stabak Roy, Shaghayegh Ghorbanzadeh
The role of transport infrastructure, especially railways, in shaping a nation's socio-economic and cultural dynamics is of paramount importance. The present research delves into the profound influence of the railway network on Iran's regional transformation, from its inception to present times. An in-depth historical evaluation uncovers the genesis and expansion of the Iranian railway system, linking it intricately with pivotal junctures in the nation's trajectory. Emphasis is placed on regions undergoing substantial developmental shifts, attributable to enhanced rail connectivity, offering distinct examples of varied growth paradigms. Economic repercussions manifest as interregional trade augmentation, resurgence of industries, and alterations in employment landscapes, thereby positing railways as an integral component of Iran's economic blueprint. Concurrently, an exhaustive scrutiny of socio-cultural realms underscores railways' pivotal role in fostering intercultural exchanges and expediting urbanisation trends. From an environmental perspective, the sustainability merits of rail transport are illuminated, accentuating the increasing pertinence of ecological considerations in railway's prospective expansion. Through meticulous case studies, a comparative narrative emerges between areas endowed with rail connectivity and those situated in relative isolation. The objective is to elucidate railways as instigators of transformative shifts. This study culminates with projections grounded in potential technological advancements poised to reshape Iran's railway infrastructure and the ensuing regional implications. Findings underscore railways' monumental impact on Iran's socio-economic fabric, illuminating their potential as change agents and offering invaluable insights for global infrastructure strategising.
交通基础设施,特别是铁路,在塑造一个国家的社会经济和文化动态方面发挥着至关重要的作用。本研究探讨了铁路网络对伊朗区域转型的深刻影响,从其成立到现在。一项深入的历史评估揭示了伊朗铁路系统的起源和扩张,将其与国家轨迹的关键节点错综复杂地联系在一起。重点关注因铁路互联互通而经历重大发展转变的地区,这些地区提供了不同增长模式的独特范例。经济影响表现为区域间贸易的增加、工业的复苏和就业格局的改变,从而使铁路成为伊朗经济蓝图中不可或缺的组成部分。同时,对社会文化领域的详尽审查强调了铁路在促进跨文化交流和加速城市化趋势方面的关键作用。从环境角度出发,阐明了铁路运输的可持续性优点,强调了铁路未来扩张中生态考虑的日益增强的针对性。通过细致的案例研究,在拥有铁路连接的地区和相对孤立的地区之间形成了一种比较叙述。其目的是阐明铁路作为变革变革的推动者。本研究最后提出了基于潜在技术进步的预测,这些技术进步有望重塑伊朗的铁路基础设施及其随后的区域影响。调查结果强调了铁路对伊朗社会经济结构的巨大影响,阐明了铁路作为变革推动者的潜力,并为全球基础设施战略提供了宝贵的见解。
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引用次数: 0
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Mechatronics and Intelligent Transportation Systems
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