Titlebook: Dynamics of Transportation Ecosystem, Modeling, and Control; Sunil Kumar Sharma,Ram Krishna Upadhyay,Vikram Kum Book 2024 The Editor(s) (i

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https://doi.org/10.1007/978-3-662-38235-6t trend observed in India and the rest of the world. As per the United Nations’ prediction, approximately 66% of the global population will reside in metropolitan areas by around 2050, leading to the need for an eco-friendly mass transportation system. However, with the increasing railway growth, th

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https://doi.org/10.1007/978-3-662-42974-7sed ways of identifying the track axis, which consist of generating an optimized geometrical layout in the tested area by minimizing the occurring deviations of this layout from the measurement points. The proposed new approach uses the obtained measurement data to determine the existing curvature o

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https://doi.org/10.1007/978-3-663-04473-4or element will be used to support electronic components found in trackside equipment. In the prepared model, Markov processes were used to describe the states occurring between the various elements of the TCS system. Simulation tests mainly consisted of determining the average failure time of an el

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λ-Calculus and Computer Science Theorychallenges contributing to this situation is the prevalence of middlemen in the food supply chain, causing farmers to receive inadequate profits. This paper addresses the pressing issues of low traceability and high transaction costs within the Indian food industry and introduces innovative blockcha

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‘Anticipating‘ the 2011 Arab Uprisings efficiency in the industry. This research takes a look at aerodynamics of the vehicles, which make up an important part of most of the transportation systems. The discussion undertaken in the following paper is aimed at providing some context regarding the shape optimization process. The discussion

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Niet-specifieke angst: angststoornissen,assengers—train delays. The primary focus of this research is to leverage advanced machine learning techniques to address this challenge, with a specific emphasis on predicting train delays using a Random Forest Classifier model. By developing this predictive model, the study offers significant pote

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https://doi.org/10.1007/978-3-658-02223-5 plastic waste disposal management, which are sources of serious environmental pollution due to associated non-renewable fossil sources. The limited nature of fossil fuels, which are the major source of plastic, have made circular economy approaches more attractive, which bring about sustainability

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