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Transformation of Transportation

  • 2021
  • Book

About this book

This book features original scientific manuscripts submitted for publication at the International Conference – The Science and Development of Transport (ZIRP 2020), organized by University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, and held in Šibenik, Croatia, from 29th to 30th September 2020. The conference brought together scientists and practitioners to share innovative solutions available to everyone.
Presenting the latest scientific research, case studies and best practices in the fields of transport and logistics, the book covers topics such as sustainable urban mobility and logistics, safety and policy, data science, process automation, and inventory forecasting, improving competitiveness in the transport and logistics services market and increasing customer satisfaction. The book is of interest to experienced researchers and professionals as well as Ph.D. students in the fields of transport and logistics.

Table of Contents

  1. Frontmatter

  2. Effect of Different Stop Sign Configurations on Driving Speed When Approaching a Rural Intersection at Night-Time

    Dario Babić, Darko Babić, Mario Fiolić, Marko Ružić
    The chapter delves into the critical issue of road accidents at rural intersections, particularly at night, where visibility is compromised. It highlights the importance of effective traffic control measures, such as stop signs, in mitigating these risks. The study uses a driving simulator to evaluate the impact of different stop sign configurations on driving speed. The results show that enhanced-visibility stop signs can significantly influence driver behavior, providing valuable insights for road engineers and authorities seeking to improve safety at unsignalized rural intersections.
  3. Traffic Flow Simulators with Connected and Autonomous Vehicles: A Short Review

    Filip Vrbanić, Dino Čakija, Krešimir Kušić, Edouard Ivanjko
    The chapter explores the potential of traffic flow simulators in modeling connected and autonomous vehicles (CAVs) and autonomous vehicles (AVs), emphasizing their impact on traffic flow and safety. It delves into the capabilities of commercial simulators like VISSIM and AIMSUN, as well as open-source platforms like SUMO, and discusses the integration of network simulators for vehicle communication. The analysis highlights the need for realistic simulation scenarios to evaluate the performance of AVs and CAVs in mixed traffic flows, paving the way for safer and more efficient transportation systems.
  4. Application of Dimensionless Method to Estimate Traffic Delays at Stop-Controlled T-Intersections

    Mohammad Ali Sahraei, Emre Kuşkapan, Muhammed Yasin Çodur
    This chapter delves into the application of a dimensionless method to estimate traffic delays at stop-controlled T-intersections. It begins by providing an overview of traffic delay assessment techniques and the limitations of existing methods such as those proposed by the Highway Capacity Manual (HCM). The study focuses on Two-Way Stop-Controlled (TWSC) and All Ways Stop-Controlled (AWSC) intersections, highlighting the inefficiencies caused by low priority actions on minor streets. The core of the chapter involves the development of empirical models using dimensionless analysis, which simplifies complex physical issues and reduces them to their most basic form. The methodology includes case studies of two intersections in Johor, Malaysia, where data was collected using video cameras. The chapter then presents the results and discussion, including the validation of the developed models against observed data. The findings show that the dimensionless-based models provide a more accurate estimation of traffic delays compared to traditional methods like HCM2010. Additionally, a sensitivity analysis is conducted to understand the impact of independent variables on traffic delays. The chapter concludes by emphasizing the applicability of the dimensionless method for analyzing traffic delays at stop-controlled intersections and suggests future research directions.
  5. In-Depth Evaluation of Reinforcement Learning Based Adaptive Traffic Signal Control Using TSCLAB

    Daniel Pavleski, Mladen Miletić, Daniela Koltovska Nečoska, Edouard Ivanjko
    The chapter explores the application of reinforcement learning (RL) in adaptive traffic signal control (ATSC), focusing on the use of the TSCLAB framework for evaluation. It discusses the advantages of RL-based ATSC over traditional fixed time signal programs, highlighting the ability to adapt to real-time traffic demands. The evaluation framework, TSCLAB, is introduced as a tool for simulating and analyzing the performance of ATSC systems, offering a comprehensive approach to assessing various measures of effectiveness. The chapter also presents a case study using a self-organizing map (SOM) and Q-learning-based ATSC system, comparing it with traditional fixed time signal control. The results showcase the superiority of the RL-based approach in reducing control delays and improving traffic flow, making it a valuable resource for professionals seeking to implement advanced traffic management solutions.
  6. Discrete Simulation Model for Urban Passenger Terminals

    Aura Rusca, Eugen Rosca, Florin Rusca, Mihaela Popa, Cristina Oprea, Oana Dinu
    The chapter discusses the importance of correctly dimensioning access ways in urban passenger terminals to prevent overcrowding and ensure safety, particularly in response to recent events such as fires and terrorist attacks. It reviews existing literature on passenger terminal capacity assessment, safety, and flow estimation, highlighting the use of simulation models for accurate planning. The discrete simulation model developed in the chapter allows for the evaluation of critical areas, identification of vulnerabilities, and optimal dimensioning of facilities. The case study of a fictitious terminal, modeled using Rockwell Arena Simulation, demonstrates the model's effectiveness in identifying key issues such as staircase transit capacity. The results obtained from various scenarios emphasize the importance of careful planning and monitoring of critical areas to maintain passenger safety and comfort.
  7. Characteristics of Departing Passenger Reports to the Passport Control Queuing System

    Mateusz Zając, Maria Pawlak
    The chapter delves into the characteristics of passenger reporting to the passport control system at Wrocław Airport, focusing on real data collected during peak travel seasons. It analyzes how passenger behavior varies based on destination, offering insights into the dynamics of passenger flow. The study identifies distinct patterns for different types of flights, such as economic migration and leisure travel, and highlights the importance of these variations for developing accurate simulation models. The findings are particularly useful for stakeholders seeking to optimize passenger service systems, as they provide a detailed understanding of passenger reporting behavior that can be applied to improve efficiency and reduce delays in air travel operations.
  8. Situation in Railway Sidings Operation in Slovakia Based on the Selected Criteria

    Lenka Černá, Vladislav Zitrický, Jozef Gašparík
    The chapter delves into the significance of railway sidings in Slovakia's railway transport system, which accounts for about 70% of the total rail transport volume. It explores the impact of globalization on the transport market and the declining trend in railway transport, despite regulatory measures. The analysis focuses on the Košice region, revealing a decrease in active railway sidings and the most transported commodities. The study also proposes measures to increase the efficiency of railway sidings operations, including state support and the design of an information system for better management.
  9. Applying Multi Criteria Analysis in Evaluation of Distribution Channels

    Karla Brezović, Ratko Stanković, Mario Šafran, Goran Kolarić
    The chapter focuses on the critical role of distribution channels in making products accessible to consumers, highlighting their impact on various marketing and economic decisions. It evaluates existing distribution channels for a confectionery manufacturer in Croatia and suggests an additional e-commerce channel. The AHP method is applied to rank these channels based on criteria such as consumer characteristics, product features, intermediary characteristics, competition characteristics, and managerial and financial perspectives. The chapter also discusses the specific features of confectionery products distribution, emphasizing the importance of temperature and hygiene regimes. The evaluation is performed using the Expert Choice software, and the results are presented through detailed rankings and graphs. The chapter concludes with a final ranking of all distribution channels, including the proposed e-commerce channel, highlighting its potential benefits and risks.
  10. Development Barriers of Eurasian Container Transportation

    Natalia Lakhmetkina, Alexander Oleinikov, Alexey Pilipchak, Elizaveta Dmitrieva
    The chapter examines the main barriers to the development of Eurasian container transportation, emphasizing the role of the EAEU in integrating economic policies and facilitating the free flow of goods. It highlights the challenges faced by rail and sea transport, including infrastructure limitations, border crossings, and technological constraints. The text also discusses the impact of subsidies on rail transportation and the need for standardization and unification of information technologies to overcome these barriers. The analysis underscores the importance of addressing these issues to ensure the competitive development of Eurasian container transportation and enhance trade between China, the EAEU, and the EU.
  11. Airline Fleet Rotables Staggered Replacement Scheduling Using Dynamic Approach

    Miroslav Šegvić, Anita Domitrović, Ernest Bazijanac, Edouard Ivanjko
    The chapter explores the critical role of airline fleet rotable component maintenance in reducing operational costs, with a focus on staggered replacement scheduling. It delves into the challenges of managing high-value components and the need for optimal scheduling to minimize maintenance costs and maximize aircraft availability. The text introduces a dynamic approach using the backward allocation algorithm, demonstrated through a case study of a regional airline's propeller blade and hub replacement schedule. This approach aims to balance the trade-offs between early replacements and the costs of unscheduled maintenance, providing a practical solution for fleet managers and maintenance engineers.
  12. Monitoring Traffic Air Pollution Using Unmanned Aerial Systems

    Marin Mustapić, Anita Domitrović, Tomislav Radišić
    This chapter delves into the critical issue of air pollution, particularly in urban areas, and the detrimental effects it has on human health. It discusses the composition of atmospheric pollution and the primary sources, with a focus on the significant role of road traffic. The chapter then introduces Unmanned Aerial Systems (UAS) as a innovative solution for monitoring air quality, offering higher spatial resolution and greater operational flexibility compared to conventional ground stations. The advantages and disadvantages of different types of UAS, such as fixed-wing aircraft and rotocopters, are examined. Additionally, the regulatory requirements for flying UAVs in urban areas are addressed, including the use of advanced tools like the AMC Portal for real-time airspace management. The chapter also highlights significant research that demonstrates the effectiveness of UAS in generating vertical profiles of the atmosphere and measuring the distribution of pollutants. Overall, this chapter provides a thorough analysis of the potential of UAS in enhancing air pollution monitoring and management strategies.
  13. Instruments for Career Development in the Air Transport Industry

    Sorin Eugen Zaharia, Adina Petruta Pavel, Casandra Venera Pietreanu, Steliana Toma
    The chapter begins by outlining the significant economic and social contributions of the air transport industry, supporting millions of jobs globally. It then delves into the devastating impact of the COVID-19 pandemic on the industry, with dramatic reductions in passenger traffic and severe job losses. The text discusses the urgent need for new qualifications and career development strategies to adapt to the rapidly changing job market, driven by digital transformation and technological advancements. It highlights the importance of interdisciplinary skills and the development of new occupations such as software and AI engineers, security and cybersecurity experts, and environmental specialists. The chapter also presents instruments for regulation, guidance, and career development in air transport, including a sectoral qualifications framework and recognition of prior learning. Additionally, it explores the role of online platforms in providing information, guidance, and job offers in the aviation sector. The text concludes by emphasizing the need for higher education institutions and training providers to adapt their curricula to meet the demands of the new aviation labour market.
  14. Drivers of Change for Smart Occupations and Qualifications in Aviation

    Sorin Eugen Zaharia, Casandra Venera Pietreanu, Adina Petruta Pavel
    This chapter delves into the transformative forces shaping the aviation industry, particularly the emergence of 'smart' occupations driven by technological advancements, socio-economic factors, and environmental concerns. It examines the evolving qualifications required for these new roles, emphasizing the need for highly skilled employees. The research highlights the role of digitalization in creating new job categories and the importance of interdisciplinary skills. Additionally, it underscores the significance of societal responsibility and sustainability in aviation, outlining the challenges and opportunities in this dynamic field. The chapter provides a detailed analysis of the labour market, including the impact of the COVID-19 pandemic, and offers insights into the future of aviation jobs and the educational strategies needed to prepare the workforce.
  15. A Framework to Understand Current and Future Competences and Occupations in the Aviation Sector

    Alessia Golfetti, Linda Napoletano, Katarzyna Cichomska
    The chapter discusses the significant societal and technological shifts expected to transform the aviation sector over the next decade. It introduces a framework to understand the competences and occupations required in the aviation industry, focusing on the impacts of urbanization, ageing populations, climate change, and globalization. The study, conducted within the EU-funded KAAT project, presents a sectorial breakdown of occupations and a competency framework, identifying key skills and knowledge areas for current and emerging roles. The chapter also addresses the implications of the COVID-19 pandemic on the aviation workforce and emphasizes the need for resilience and adaptability in the face of rapid changes.
Title
Transformation of Transportation
Editors
Assist. Prof. Marjana Petrović
Prof. Luka Novačko
Copyright Year
2021
Electronic ISBN
978-3-030-66464-0
Print ISBN
978-3-030-66463-3
DOI
https://doi.org/10.1007/978-3-030-66464-0

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