1. Advancing sustainable mobility: artificial intelligence approaches for autonomous vehicle trajectories in roundaboutsSalvatore Leonardi, Natalia Distefano, Chiara Gruden, 2025, original scientific article Abstract: This study develops and evaluates advanced predictive models for the trajectory planning of autonomous vehicles (AVs) in roundabouts, with the aim of significantly contributing to sustainable urban mobility. Starting from the “MRoundabout” speed model, several Artificial Intelligence (AI) and Machine Learning (ML) techniques, including Linear Regression (LR), Random Forest (RF), Support Vector Regression (SVR), Gradient Boosting Regression (GBR), and Neural Networks (NNs), were applied to accurately emulate human driving behavior and optimize AV trajectories. The results indicate that neural networks achieved the best predictive performance, with R2 values of up to 0.88 for speed prediction, 0.98 for acceleration, and 0.94 for differential distance, significantly outperforming traditional models. GBR and SVR provided moderate improvements over LR but encountered difficulties predicting acceleration and distance variables. AI-driven tools, such as ChatGPT-4, facilitated data pre-processing, model tuning, and interpretation, reducing computational time and enhancing workflow efficiency. A key contribution of this research lies in demonstrating the potential of AI-based trajectory planning to enhance AV navigation, fostering smoother, safer, and more sustainable mobility. The proposed approaches contribute to reduced energy consumption, lower emissions, and decreased traffic congestion, effectively addressing challenges related to urban sustainability. Future research will incorporate real traffic interactions to further refine the adaptability and robustness of the model.
Keywords: sustainable mobility, autonomous vehicles, machine learning, roundabouts, artificial intelligence, ChatGPT
Published in DKUM: 04.04.2025; Views: 0; Downloads: 1
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2. Integrating participatory approaches and fuzzy analytic hierarchy process (FAHP) for barrier analysis and ranking in urban mobility planningUroš Kramar, Marjan Sternad, 2025, original scientific article Abstract: This study examines the barriers to implementing sustainable mobility strategies in small municipalities by integrating participatory and multi-criteria decision-making methods. A triangulated approach combines the nominal group technique (NGT), focus groups (FGs), and the fuzzy analytic hierarchy process (FAHP) to systematically identify, refine, and rank key barriers. The NGT enables stakeholders to list and prioritize barriers individually, ensuring balanced participation. FG discussions then refine and contextualize these barriers, addressing qualitative depth. Finally, the FAHP quantitatively ranks the barriers while accounting for uncertainty in stakeholder judgments. The results highlight systemic constraints, such as financial limitations and regulatory inefficiencies, alongside local challenges like inadequate infrastructure and public resistance. Integrating the NGT, FGs, and the FAHP enhances the analytical rigor by merging structured decision-making with participatory engagement. This methodological innovation strengthens the reliability of barrier assessment and offers a replicable framework for urban mobility planning. The findings underscore the need for locally tailored strategies that balance stakeholder inclusion with structured prioritization, contributing to improved governance in sustainable transport planning.
Keywords: sustainable mobility planning, urban mobility, participatory governance, fuzzy analytic hierarchy process, local governance, barriers to implementation, FAHP
Published in DKUM: 26.03.2025; Views: 0; Downloads: 1
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3. The development of sustainable mobility plan (SUMP), example for city of Sinj, CroatiaAnđelo Marunica, 2019, master's thesis Abstract: SUMP (Sustainable Urban Mobility Plan) is an innovative way of planning urban traffic in order to meet the needs of citizens in a sustainable way. Unlike the traditional approach to traffic planning, SUMP places a special emphasis on citizen and other stakeholders involvement and participation, in which different decisions regarding various sectors such as traffic, spatial planning, economic development, social activities, health, safety, energy, etc. are coordinated . The SUMP concept for the city of Sinj proposes 30 measures compiled in 6 themed packages, which are expected to greatly improve the quality of traffic in the city, in addition to reducing air pollution and improving the quality of life for residents of Sinj, while simultaneously, to a certain extent, stimulating economic growth and reversing demographic decline which is currently affecting the municipality of Sinj.
Keywords: SUMP, city of Sinj, sustainable mobility plan, sustainable mobility, sustainable mobility planning methodology
Published in DKUM: 23.09.2019; Views: 1168; Downloads: 111
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4. Theoretical scope of EM and sustainabilityMarina Zhuravskaya, Elena Morozova, 2016, independent scientific component part or a chapter in a monograph Abstract: It is no secret that the amount of accumulated waste in Russia today is about 90 billion tons. And the situation is that distinct economic incentives for integrated waste management just do not exist (http://kn51.ru/news/society/ecology/2013/5/02/ekologiya-kak-indikator-zrelosti-obshchestva.html). Many people believe that there are only two ways of development: go back to primitive society or go forward to the inevitable destruction of the environment. However, there is an alternative that combines the preservation of the environment and social well-being – it is the concept of sustainable development.
Keywords: environmental management, environmental policies, sustainable development, sustainable mobility, sustainability, Russia
Published in DKUM: 10.05.2018; Views: 1554; Downloads: 93
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5. The history of EMBorut Jereb, Matjaž Knez, Darja Kukovič, Tina Cvahte Ojsteršek, Matevž Obrecht, 2016, independent scientific component part or a chapter in a monograph Keywords: environmental management, environmental policies, sustainable development, sustainable mobility, historical overviews
Published in DKUM: 10.05.2018; Views: 1619; Downloads: 116
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