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Volume 2, Issue 2, 2023

Abstract

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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.
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
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Available online: 05-28-2023

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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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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.
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