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Mechatronics and Intelligent Transportation Systems
JUDM
Mechatronics and Intelligent Transportation Systems (MITS)
OCS
ISSN (print): 2958-020X
ISSN (online): 2958-0218
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Volume
2023: Vol. 2
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Mechatronics and Intelligent Transportation Systems (MITS) is a peer-reviewed, scholarly open access journal on mechatronics, intelligent transportation, and the related fields. It is published quarterly by Acadlore. The publication dates of the four issues usually fall in March, June, September, and December each year.

  • Professional service - All articles submitted go through rigorous yet rapid peer review and editing, following the strictest publication standards.

  • Fast publication - All articles accepted are quickly published, thanks to our expertise in organizing peer-review, editing, and production.

  • Open access - All articles published are immediately available to global audience, and freely sharable anywhere, anytime.

  • Additional benefits: All articles accepted enjoy free English editing, and face no length limit or color charges.

Editor(s)-in-chief(2)
yougang sun
Tongji University, China
1989yoga@tongji.edu.cn | website
Research interests: Rail Transit; Maglev Vehicle Dynamics; Nonlinear Control and Intelligent Monitoring; Underactuated Robot; Electromechanical System Control
ana vulevic
Institute of Architecture and Urban & Spatial Planning of Serbia (IAUS), Serbia
anavukvu@gmail.com
Research interests: Urban Planning; Transportation Planning; Accessibility; Mobility; Environment Protection

Aims & Scope

Aims

Mechatronics and Intelligent Transportation Systems (MITS) (ISSN 2958-020X) is an open access refereed journal reporting advances in the state-of-the-art in mechatronic technologies and intelligent transportation systems, as well as their synergistic combinations. MITS provides a chance for researchers around the world to showcase their creative thinking and innovative solutions in areas like control systems of intelligent vehicles, mechanical engineering for transportation, intelligent transportation infrastructure, and e-transportation, to name but a few. We welcome original submissions in various forms, including reviews, regular research papers, and short communications as well as Special Issues on particular topics. The journal is especially interested in the research that leads to improved planning and operation of the transportation system through the application of new mechatronic technologies.

The aim of MITS is to encourage scientists to publish their theoretical and experimental results in as much detail as possible. Therefore, the journal has no restrictions regarding the length of papers. Full details should be provided so that the results can be reproduced. In addition, the journal has the following features:

  • All published papers are indexed in mainstream journal indexing systems.
  • Manuscripts regarding new and innovative research proposals and ideas are particularly welcome.
  • Authors from non-English speaking countries will receive language support.
  • Journal editors behave in a professional and courteous manner toward authors, and offer specific suggestions for improving a paper.

Scope

The scope of the journal covers, but is not limited to the following topics:

Computer vision

  • Image processing
  • Intelligent transportation infrastructure
  • E-transportation
  • Development of intelligent vehicles
  • Control systems of intelligent vehicles
  • Industrial design
  • Product modeling and design
  • Intelligent mechatronic control
  • Connected vehicles
  • Auto navigation and driver assistance systems
  • Electronic and electronic engineering
  • Lidar and three-dimensional sensors
  • Proximity sensors
  • Trajectory planning and control
  • Mechanical engineering
  • Mechanical engineering for transportation
  • Mechatronic products and applications
  • Modeling, identification, and control of mechatronic systemsSmart energy systems and future transportation
Articles
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Abstract

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With the advancement of the "Belt and Road" initiative, trade between China and Europe has been steadily growing, and China-Europe container transportation has received increasing attention. This study analyzes the influencing factors of China-Europe container transport path selection and, based on the physical network of China-Europe container transport, constructs virtual nodes according to the transport modes that can be transited at different nodes and their own transshipment operations. By reflecting cost, time, and carbon emission factors in the virtual network, we construct a service network for China-Europe container multimodal transport, which in turn forms a multi-objective transport scheme selection model considering transportation cost, time, and carbon emissions. Subsequently, the economic and practical aspects of this transport path selection model are verified through five case studies of container transport from Dalian to Hamburg, Germany. Lastly, the sensitivity of factors, such as cost and time, to the China-Europe container multimodal transport path selection is assessed based on scenario analysis. This analysis offers valuable references for various decision-makers involved in the selection of the China-Europe container transport path.
Open Access
Research article
Assessing Automatic Dependent Surveillance-Broadcast Signal Quality for Airplane Departure Using Random Forest Algorithm
rani silvani yousnaidi ,
rossi passarella ,
rizki kurniati ,
osvari arsalan ,
aditya ,
indra gifari afriansyah ,
muhammad rifqi fathan ,
marsella vindriani
|
Available online: 05-28-2023

Abstract

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This study aims to assess the safety level of the Automatic Dependent Surveillance-Broadcast (ADS-B) signal quality during airplane departures at Sultan Mahmud Badaruddin II Airport. The Aero-track application was utilized to monitor commercial aircraft departures and collect observation data. The collected data underwent processing using data analysis algorithms and labeling processes, resulting in a comprehensive dataset for evaluating ADS-B signal quality. Signal quality was categorized into four levels, and a model was built using the Random Forest algorithm, achieving an accuracy of 99%. Comparative analysis with SVM and Naive Bayes algorithms showed accuracy values of 93% and 97% respectively. Consequently, the Random Forest Model was chosen for estimating ADS-B signal quality during commercial aircraft takeoff and landing.

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This paper presents a strategy implemented for preparation of the national User Requirements Specifications (URS) for European Train Control System (ETCS) with Level 2 in the Republic of Serbia. The requirements were the result of several parallel activities: gaining experience from similar implementations of the ETCS in the framework of the European TEN-T corridor railway lines, consultations about the specific technical solutions with the institutions and several suppliers of signalling equipment. The process resulted with a comprehensive specification, which will be used as a firm basis for further implementation of the ETCS system on Serbian railway network.

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High-speed maglev train is an excellent mode of transportation to build a transportation network because of its high safety, low emission, low energy consumption, low noise and strong climbing ability. The safety, stability and comfort of high-speed maglev train are closely related to the running speed and the random track irregularity, so it is necessary to study the corresponding relationship between the running speed, the random track irregularity and the stability. In order to ensure the safety and stability of high-speed maglev train in high-speed running, a dynamic model of high-speed maglev vehicle is established by UM based on Shanghai TR08 maglev train to carry out simulation analysis of its response to various track irregularity stimulations at different speeds and study the change law of stability of maglev train at different speeds, so as to provide a useful reference for the design optimization of high-speed maglev vehicle and the irregularity control of maglev line.

Abstract

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This study aimed to analyze dynamic performance of the low- and medium-speed maglev train on the turnout, by conducting a series of field tests on the Fenghuang maglev sightseeing express line. This study systematically analyzed and evaluated dynamic responses of vehicle body, suspension bogie, short rail joint, motor-driven long-span girder (LSG) and continuous beam of the turnout at different speeds and loads in time and frequency domains. Test results obtained in this study indicated that: 1) speed and load of the maglev train affected acceleration amplitude of the train and turnout; 2) vertical sperling indexes of the test train were less than 2.5, indicating that the train had good ride quality; and 3) resonance phenomenon of track occurred at 40 km/h. The findings of this study may serve as references for model validation and optimized design of low- and medium-speed maglev train.

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In this paper, we design a mobile robot platform, which employs a fully autonomous mechanical structure and electrical control system. Two driving wheels realize flexible steering movement with four universal wheels. A variety of sensors are built on the mobile robot platform, including the Inertial Measurement Unit (IMU) used to establish the inertial navigation coordinate system and the Velodyne’s Puck lidar sensor (VLP-16) used to obtain the three-dimensional (3D) point cloud information of the environment. Then, we build a software control architecture based on the Robot Operating System (ROS), using multi-node communication to perform positioning, environment perception, dynamic obstacle avoidance, path planning and motion control. Furthermore, a method of actively exploring the environment and constructing a map is proposed, using multi-path evaluation for real-time path planning and obstacle avoidance. In the end, we conduct autonomous exploration experiments to verify the performance of the designed mobile robot platform in indoor multi-obstacle scenes.

Abstract

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In today transport technology processes, forklifts are one of the most important equipment for making handling operations in order to increase sustainability. They have a large influence in achieving the efficiency and sustainability of internal transport. According to the previous studies, and based on the current needs of the company, skills, and knowledge of managers, criteria, and alternatives for evaluating forklifts were created. The paper aims to create an integrated decision-making model to improve the company's technological processes. The objective CRITIC (Criteria Importance Through Intercriteria Correlation) approach was used to determine the criteria weights which are a combination of economic, technological, technical and environmental criteria. MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) approach was applied to select the most suitable forklift in transport technology processes. Results show that A4 forklift is the most suitable, and the A1 forklift is the worst variant. Apart from this, sensitivity and comparative analysis have been done in order to verify the initial results.

Open Access
Research article
Regional Classification of Serbian Railway Transport System Through Efficient Synthetic Indicator
stabak roy ,
ana vulevic ,
samrat hore ,
grazyna chaberek ,
saptarshi mitra
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Available online: 02-28-2023

Abstract

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The railway transport system is one of the most important elements in the development of the economy and the social space of any area. The main objective of the study is to analyse the regional differentiation in railway development in Serbia with causal interference. The research has been conducted based on secondary data collected from multiple sources, and the existing synthetic Indicator was applied to classify eight states based on their railway infrastructural status. An alternative synthetic Indicator approach has been proposed and found to be more efficient than the existing synthetic Indicator. The causality of such unequal development has been analysed through a correlation test by defining the composite infrastructure index. The analysis revealed that railway infrastructure significantly influences Serbia's economic and social development. The service area of railway infrastructure indicates the potential zone for future growth.

Abstract

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Thanks to its superb curve negotiation characteristics, the side-suspended high-temperature superconducting (SS-HTS) maglev system boasts a great potential for high-speed transportation. The SS-HTS maglev system, however, significantly differs in suspension features from the conventional maglev system because of its unique side-suspended structure. To improve suspension performance, the field-cooling technique of superconducting bulks in the SS-HTS system was investigated through a number of experiments. To fit the experimental data, the authors proposed the mathematical models of the levitation and guidance forces as well as the optimal field-cooling position. Furthermore, a dynamic model was developed for the SS-HTS maglev vehicle operating on a curve line, and the curve negotiation characteristics were simulated for the maglev vehicle. Finally, the stability of the curve negotiation for the SS-HTS system was assessed using the Sperling index. The results show that the SS-HTS maglev vehicle can pass over bends at a certain speed. The authors also recommended the suspension parameters the maglev vehicle.

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Road maintenance is essential to the growth of the transportation infrastructure and, thereby, has a big impact on a nation's overall economic stability and prosperity. It is impossible to simultaneously monitor and maintain the entire network. As a result, transportation authorities are eager to develop scientific foundations for assessing the importance of maintenance tasks within the network of roads. Hence, pavement assessment methods are needed to establish the priorities and achieving the most convenient level of service. In this study, a road stretch was assessed using the sixteen criteria in the Distress Identification Manual for pavement defects, using pavement condition index (PCI) and multi-criteria decision-making models (MCDM). The two methods were compared to determine the possibility of using MCDM. The study came to the conclusion that MCDM is reliable in assessing pavement performance because both methods indicated that the road pavement is deteriorating.

Abstract

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Due to their advantages in hovering, takeoff and landing adaptability, maneuverability, and other factors, rotary-wing unmanned aerial vehicles (UAVs) are widely applied across many different fields. The UAVs' design and configuration can be quite flexible to fit diverse operation conditions. The major goal of innovations in rotary-wing UAVs is to lower operating risk and expense by optimizing payload and structure layout. This study examines three aspects of rotary-wing UAV design and evolution: the number and arrangement of rotors, hybrid-wing-based UAVs, and configuration and loading structures. The most current advancements of UAV applications in crucial industries, including agriculture, fire rescue, inspection and monitoring, and aerial logistics, are then thoroughly examined. Finally, the authors discussed the prospective uses for rotary-wing UAV design in the future.

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