Relevant bibliographies by topics / Intelligenza urbana

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  2. Dissertations / Theses
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Academic literature on the topic 'Intelligenza urbana'

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Published: 10 March 2023

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Journal articles on the topic "Intelligenza urbana"

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Tricarico, Luca, Rosamaria Bitetti, and Maria Isabella Leone. "L'innovazione sociale nelle politiche urbane. Un caso studio nel contesto italiano." TERRITORIO, no. 96 (September 2021): 108–15. http://dx.doi.org/10.3280/tr2021-096010.

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Il contributo analizza i caratteri di una politica urbana che applica e incorpora concetti e approcci tipici dell'innovazione sociale. Con questo obiettivo, esamina un caso studio, ‘Un acceleratore per l'economia di territorio', promosso dal comune di Milano con una serie di partner locali e inserito nel framework governativo del Fondo per l'innovazione sociale (fis). Il progetto per la creazione di ‘economie di prossimità' sarà realizzato combinando strumenti finanziari a impatto sociale e percorsi di accelerazione per lavoro e impresa nelle aree periferiche. L'ipotesi che si vuole qui verificare è se l'innovazione sociale possa essere non solo il contenuto, ma anche il metodo di una politica place-based di sviluppo territoriale: acquisendo conoscenza dispersa, innescando processi di intelligenza collettiva nella ridefinizione dei bisogni sociali e proponendo soluzioni condivise dall'interesse di più attori.
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Tricarico, Luca, Rosamaria Bitetti, and Maria Isabella Leone. "L'innovazione sociale nelle politiche urbane. Un caso studio nel contesto italiano." TERRITORIO, no. 96 (September 2021): 108–15. http://dx.doi.org/10.3280/tr2021-096010.

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Il contributo analizza i caratteri di una politica urbana che applica e incorpora concetti e approcci tipici dell'innovazione sociale. Con questo obiettivo, esamina un caso studio, ‘Un acceleratore per l'economia di territorio', promosso dal comune di Milano con una serie di partner locali e inserito nel framework governativo del Fondo per l'innovazione sociale (fis). Il progetto per la creazione di ‘economie di prossimità' sarà realizzato combinando strumenti finanziari a impatto sociale e percorsi di accelerazione per lavoro e impresa nelle aree periferiche. L'ipotesi che si vuole qui verificare è se l'innovazione sociale possa essere non solo il contenuto, ma anche il metodo di una politica place-based di sviluppo territoriale: acquisendo conoscenza dispersa, innescando processi di intelligenza collettiva nella ridefinizione dei bisogni sociali e proponendo soluzioni condivise dall'interesse di più attori.
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Zhou, Xi, Mengnan Wang, Dexiang Deng, and Xi Li. "Design and Construction of Urban Waste Intelligent Treatment System." E3S Web of Conferences 199 (2020): 00011. http://dx.doi.org/10.1051/e3sconf/202019900011.

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With the rapid expansion of urban scale, urban waste disposal has become an important issue for ecological environment construction. In order to seek the coordinated development of economy and environment, we systematically intervene in urban waste intelligent treatment plans and management through design thinking and methods, and build urban waste intelligent treatment systems to achieve waste volume control, waste monitoring, classified collection, stacking and transportation, processing and Reprocessing production forms a controllable intelligent operation chain, which realizes the collaboration of human brain intelligence and artificial intelligence to improve the level of urban waste treatment and management capabilities.
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Wang, Ji Zhe, and Zhan Jie Wang. "Architecture Design of Urban Intelligent Transportation Using Cloud Computing." Advanced Materials Research 605-607 (December 2012): 2549–52. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2549.

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This article does a further research on the technologies of cloud computing and intelligent public transportation, designs a human-centered intelligent public transportation system, improves the connection between passengers and vehicles, vehicles and vehicles. Technologies of BeiDou messaging, capacity sensor, RFID and Web are used to improve the intelligence of public transportation information platform. This article makes an architecture design in intelligent transportation based on cloud computing and uses the embedded system as the core. The architecture allows passengers to obtain needed vehicles’ information through various services whenever and wherever, and strongly supports intelligent control and schedule of multi-vehicles and multi-lines. The system lays a good foundation for the intelligent city.
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Gong, Fanghai. "Application of Artificial Intelligence Computer Intelligent Heuristic Search Algorithm." Advances in Multimedia 2022 (September 24, 2022): 1–12. http://dx.doi.org/10.1155/2022/5178515.

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In order to transform three-dimensional space path planning into two-dimensional plane path planning problem and greatly reduce the search time, an intelligent heuristic search algorithm based on artificial intelligence is proposed. The heuristic search algorithm is analyzed and introduced, and A is chosen. A two-dimensional spatial environment model of picking robot path planning is investigated, and a spatial model of picking robot path planning is established by raster method. Then, considering the whole day operation time, the whole day operation time is divided into several periods. With the help of heuristic search algorithm, the most reasonable operation time interval of each period is found, so as to provide reliable reference for the decision-making organization of urban rail transit operation on how to arrange the train rationally. The experimental results show that the improved A ∗ algorithm can significantly improve the moving path of the picking robot and make the planned path smoother, which confirms the feasibility and superiority of the improved algorithm. The operation decision of urban rail transit is obtained through experiments. After 114 iterations of the heuristic search algorithm, the optimal value is 6.83353635 e -001, while the average optimal value is 6.83551939 e -001. After 231 iterations of particle swarm optimization algorithm, the optimal value is 6.83650785 e -001. The average optimal value is 6.83745935 e -001. After 789 iterations, the genetic algorithm obtains the optimal value of 6.83921100 e -001, and the average optimal value is 6.84410765 e -001. Through the comparative analysis, it can be seen that compared with the other two optimization algorithms, the heuristic search algorithm is significantly better than the other two optimization algorithms, both in terms of the optimal value and the number of optimization iterations. The results show that the heuristic search algorithm is a fast, accurate, and reliable optimization method to solve the problem of accurate scheduling of urban rail transit departure interval. It is proved that the intelligent heuristic search algorithm of artificial intelligence computer can realize the path planning effectively.
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Xu, Binjie. "Risk Assessment of Green Intelligent Building Based on Artificial Intelligence." Computational Intelligence and Neuroscience 2022 (September 15, 2022): 1–8. http://dx.doi.org/10.1155/2022/7584853.

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Green smart building is the development direction of future architecture. It is of great significance to carry out risk assessment. Fire risk is the key content of building risk, so this paper takes fire risk as the research object, with the help of artificial intelligence technology, to carry out the risk assessment research of green smart buildings. With the rapid development of the economy, urban fire risk factors are increasing, and the fire situation is becoming more and more serious. Building fire risk assessment is an important measure to effectively prevent and control urban building fires. This paper uses Internet of Things data to carry out fire risk assessment and realize Internet of Things data mining. Collect a large number of expert samples to build training samples, train the green intelligent building monomer fire risk assessment and prediction model based on deep neural network, constantly adjust the model parameters to optimize the model, and finally verify and modify the model.
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Yang, Xuan, Zhiyan Pu, and Lei Zhang. "Designing Data Visualization Using Artificial Intelligence for Urban Intelligent Transportation Scenarios." Mobile Information Systems 2022 (August 27, 2022): 1–11. http://dx.doi.org/10.1155/2022/3967267.

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Artificial intelligence refers to a simulation extension and expansion technology that has found its presence in various applications and research domains. Artificial intelligence allows the related theories to portray similar to human intelligence. It combines developments in several fields, including computer science, statistics, and linguistics. The research objects of data visualization can be divided into three aspects: data, visualization technology, and visualization performance. This paper aims to study the data visualization design of artificial intelligence in urban intelligent transportation scenarios. It predicts the traffic flow via the traffic control method using neural network. It provides an effective way for timely dredging and alleviating problems, such as traffic jams and establishing alternative routes. This paper firstly analyzes the methods of artificial intelligence, traffic control methods, and data visualization and then designs the visualization based on artificial intelligence in traffic scenarios. By comparing the accuracy analysis of different models, the experimental results show that the error of the peak traffic flow is less than 10% and the lowest error value is 2.2%.
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Cao, Min. "Architecture and application of intelligent heating network system based on cloud computing platform." Thermal Science 25, no. 4 Part B (2021): 2889–96. http://dx.doi.org/10.2298/tsci2104889c.

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The vigorous development of Internet-related technologies such as big data, the IoT, and cloud computing has brought intelligent central heating networks? intelligent upgrade opportunities. The article discusses the current situation of the urban central heating system and its intelligence and analyzes the new characteristics of the intelligent central heating network under the new situation. Because of the existing central heating system?s existing problems, we have designed a complete set of sys?tem architecture and heating networks? application plans.
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Pal, Santosh. "STUDY OF SPIRITUAL INTELLIGENCEAMONG D.EL.ED. STUDENTS." International Journal of Research -GRANTHAALAYAH 7, no. 7 (July 31, 2019): 143–47. http://dx.doi.org/10.29121/granthaalayah.v7.i7.2019.740.

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The present study has been conducted to explore the status of development of spiritual intelligence among D.El.Ed. students. 92 students were selected as the sample for the study. Spiritual Intelligence Scale (SIS) developed by K. S. Misra was used to collect the data from students of D.El.Ed. I and III semester. t-ratio was computed to analyze the data. The significant gender, and locality differences in spiritual intelligence score are found. Male students are found more spiritually intelligent than females. Urban students had greater spiritual intelligence than rural students. No significant difference was found in the spiritual intelligence of D.El.Ed. I and III semester students.
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Maldonado Silveira Alonso Munhoz, Paulo Antonio, Fabricio da Costa Dias, Christine Kowal Chinelli, André Luis Azevedo Guedes, João Alberto Neves dos Santos, Wainer da Silveira e Silva, and Carlos Alberto Pereira Soares. "Smart Mobility: The Main Drivers for Increasing the Intelligence of Urban Mobility." Sustainability 12, no. 24 (December 21, 2020): 10675. http://dx.doi.org/10.3390/su122410675.

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Urban mobility plays a key role in the ecosystems of complex smart cities. It is considered a key factor in enabling cities to become more intelligent, which highlights the importance of identifying the drivers that improve the intelligence of cities. In this study, we investigate the main drivers with the potential to increase urban mobility intelligence and assign them a priority. Following on from a systematic review of the literature, we conducted broad and detailed bibliographic research based on the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). We also surveyed 181 professionals working in the field concerned to confirm the importance of different drivers and assign them a level of priority. The results show that 27 drivers identified in the literature were considered important, of which seven, related to city governance and technical solutions, were considered the most important to increase urban mobility intelligence.
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Dissertations / Theses on the topic "Intelligenza urbana"

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CONDOTTA, MASSIMILIANO. "Energy web : conoscenza condivisa, intelligenza collettiva e nuove tecnologie per il contenimento dei consumi energetici a scala urbana." Doctoral thesis, Università IUAV di Venezia, 2014. http://hdl.handle.net/11578/278355.

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SINI, STEFANIA. "Centri della conoscenza: dispositivi urbani per la creazione di Smart Cities." Doctoral thesis, Università degli Studi di Cagliari, 2015. http://hdl.handle.net/11584/266388.

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The PhD research investigates the meaning of the paradigm of Smart City, or Intelligent City, that, from several time, started to be discussed and applied in diverse urban contexts in the world. Smart Cities are characterized by the presence of pervasive and cooperating information and communication technologies. These technologies improve the efficiency of urban resources' management and increase relations and interaction within the urban space. However, a Smart City doesn't prescind from the fundamental role of citizens in the urban space's transformation and development, for this reason information and communication infrastructure are primarily a tool for intensifying connections and exchanges among citizens. In a sense, according with the vision proposed in this research, a Smart City is not exclusively a concept through which efficiency and resources optimization are emphasized, as in the visions that represent the city as a machine constituted of technological cooperating components, but definitively suggests a more holistic vision, which considers the complexity of contemporary cities. This approach underlines that the city is constituted of several interacting components, human and non-human, that together create a complex ecological system where the technological tools, proper of the Smart Cities, can facilitate its management, without adopting rigid standards that limit its free evolution. The intensifying and multiplying of relations and interactions is therefore a concept at the base of the vision proposed by the Intelligent City model, where urban space's development is realized through new practices that enable novel opportunities for collaboration, based on a system of diffused knowledge. Context-knowledge is amplified by the information belonging to the digital space: urban space is increasingly constituted of digital elements that fundamentally contribute in shaping urban places, blending and integrating themselves into the physical space to which they relate and in which they are inscribed. The development of approaches and methodologies capable of facilitating transformational processes of existing urban contexts towards more intelligent configurations can be a solution for the problems faced by contemporary cities. Defining solutions capable to imagine the space as a construct integrating physical and digital components, whose distinction is ever more labile, it is possible to develop new criteria that design and modified cities sustainably, favoring the increase of quality of life for citizens. The research's unfolding has lead to observe how diffused knowledge and citizens' ability to cooperatively act are peculiar characteristics of intelligent cities, accelerated by pervasive urban technologies that facilitate the rapid diffusion on information and enable new forms of interaction through physical and digital space. Final results of the research define the Centers of Knowledge as conceptual devices that facilitate the creation of Smart Cities, suggesting material and immaterial forms with which generate intelligent urban contexts. The thesis is articulated into four chapters: in the first and second chapter principal theoretical references and best practices on Smart City are described; the third chapter contains the analysis conducted in Chicago, which is considered an optimum example of an intelligent urban context; in the forth chapter the concept of Center of Knowledge is explicated, describing the ways through which it can be shaped to develop new urban scenarios. Hopefully, the results of the research will provide a valid contribution in the rich debate around Smart Cities or Intelligent Cities, with the awareness that technological innovations and increasing experimentation of new modes of interactions produce rapid changes of the frame of references.
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Fratti, Daniele. "Intelligent transportation systems: modellazione dinamica delle reti ed implementazione di un sistema urbano dei trasporti intelligente." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3025/.

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Bernardes, Vitor Giovani. "Urban environment perception and navigation using robotic vision : conception and implementation applied to automous vehicle." Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP2155/document.

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Le développement de véhicules autonomes capables de se déplacer sur les routes urbaines peuvent fournir des avantages importants en matière de réduction des accidents, en augmentant le confort et aussi, permettant des réductions de coûts. Les véhicules Intelligents par exemple fondent souvent leurs décisions sur les observations obtenues à partir de différents capteurs tels que les LIDAR, les GPS et les Caméras. En fait, les capteurs de la caméra ont reçu grande attention en raison du fait de qu’ils ne sont pas cher, facile à utiliser et fournissent des données avec de riches informations. Les environnements urbains représentent des scénarios intéressant mais aussi très difficile dans ce contexte, où le tracé de la route peut être très complexe,la présence d’objets tels que des arbres, des vélos, des voitures peuvent générer des observations partielles et aussi ces observations sont souvent bruyants ou même manquant en raison de occlusions complètes. Donc, le processus de perception par nature doit être capable de traiter des incertitudes dans la connaissance du monde autour de la voiture. Tandis que la navigation routière et la conduite autonome en utilisant une connaissance préalable de l’environnement ont démontré avec succès, la compréhension et la navigation des scénarios généraux du environnement urbain avec peu de connaissances reste un problème non résolu. Dans cette thèse, on analyse ce problème de perception pour la conduite dans les milieux urbains basée sur la connaissance de l’environnement pour aussi prendre des décisions dans la navigation autonome. Il est conçu un système de perception robotique, qui permettre aux voitures de se conduire sur les routes, sans la nécessité d’adapter l’infrastructure, sans exiger l’apprentissage précédente de l’environnement, et en tenant en compte la présence d’objets dynamiques tels que les voitures.On propose un nouveau procédé basé sur l’apprentissage par la machine pour extraire le contexte sémantique en utilisant une paire d’images stéréo qui est fusionnée dans une grille d’occupation évidentielle pour modéliser les incertitudes d’un environnement urbain inconnu,en utilisant la théorie de Dempster-Shafer. Pour prendre des décisions dans la planification des chemins, il est appliqué l’approche de tentacule virtuel pour générer les possibles chemins à partir du centre de référence de la voiture et sur cette base, deux nouvelles stratégies sont proposées. Première, une nouvelle stratégie pour sélectionner le chemin correct pour mieux éviter les obstacles et de suivre la tâche locale dans le contexte de la navigation hybride, et seconde, un nouveau contrôle en boucle fermée basé sur l’odométrie visuelle et tentacule virtuel est modélisée pour l’exécution du suivi de chemin. Finalement, un système complet automobile intégrant les modules de perception, de planification et de contrôle sont mis en place et validé expérimentalement dans des situations réelles en utilisant une voiture autonome expérimentale, où les résultats montrent que l’approche développée effectue avec succès une navigation locale fiable basée sur des capteurs de la caméra
The development of autonomous vehicles capable of getting around on urban roads can provide important benefits in reducing accidents, in increasing life comfort and also in providing cost savings. Intelligent vehicles for example often base their decisions on observations obtained from various sensors such as LIDAR, GPS and Cameras. Actually, camera sensors have been receiving large attention due to they are cheap, easy to employ and provide rich data information. Inner-city environments represent an interesting but also very challenging scenario in this context,where the road layout may be very complex, the presence of objects such as trees, bicycles,cars might generate partial observations and also these observations are often noisy or even missing due to heavy occlusions. Thus, perception process by nature needs to be able to dea lwith uncertainties in the knowledge of the world around the car. While highway navigation and autonomous driving using a prior knowledge of the environment have been demonstrating successfully,understanding and navigating general inner-city scenarios with little prior knowledge remains an unsolved problem. In this thesis, this perception problem is analyzed for driving in the inner-city environments associated with the capacity to perform a safe displacement basedon decision-making process in autonomous navigation. It is designed a perception system that allows robotic-cars to drive autonomously on roads, with out the need to adapt the infrastructure,without requiring previous knowledge of the environment and considering the presenceof dynamic objects such as cars. It is proposed a novel method based on machine learning to extract the semantic context using a pair of stereo images, which is merged in an evidential grid to model the uncertainties of an unknown urban environment, applying the Dempster-Shafer theory. To make decisions in path-planning, it is applied the virtual tentacle approach to generate possible paths starting from ego-referenced car and based on it, two news strategies are proposed. First one, a new strategy to select the correct path to better avoid obstacles and tofollow the local task in the context of hybrid navigation, and second, a new closed loop control based on visual odometry and virtual tentacle is modeled to path-following execution. Finally, a complete automotive system integrating the perception, path-planning and control modules are implemented and experimentally validated in real situations using an experimental autonomous car, where the results show that the developed approach successfully performs a safe local navigation based on camera sensors
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An, Yinan. "Building Smart Cities and Intelligent Societies in Australia with the Aid of Internet of Things, Big Data and Artificial Intelligence." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23029.

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Countries around the world are facing urban planning challenges in fast-growing areas. As a developed country, Australia has a sound social system, with laws, rules and regulations. Rapid growth has brought new development opportunities, but also accompanied by serious social planning and decision-making issues. In some fast-growing areas, investments for infrastructure cannot keep up with the rapid population growth due to inaccurate data and other factors. As a result, sometimes it’s becoming very hard and challenging for the government to make the best decision for investments in order to achieve the maximum potential. Embracing emerging technologies, to build smart cities in Australia, to improve governance and decision making has become critical. This thesis explores challenges we are facing in fast-growing areas in Australia and how emerging technology-aided strategy making, community consultation and smart governance can help building a smart city. We demonstrate in-depth in how emerging technologies like Internet of Things and Big Data can improve a city’s operation efficiency and assisting decision-makers to solve challenging leadership, planning and decision-making issues. This thesis demonstrates by using these technologies how a planning decision or a community consultation which currently take months to process could be reduced to days, or how an operational decision which currently takes a week could be reduced to a day.
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Rong, Helena Hang. "Designing with data : collective intelligence in urban design." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123601.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Architecture, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 138-141).
Over the last decade, advancements in data collection, computing and visualization methods have given rise to a new form of urbanism: networked urbanism. Our current output of data is roughly 2.5 quintillion bytes a day. Ninety percent of the world's data has been created in the last two years alone. As cities compete for "smart city" status, myriad sensors are installed in the built environment, capturing a "real-time" city supposedly responsive to both infrastructural and citizen needs, thereby creating a more desirable environment for people to live. If this is the case, why has Songdo International Business District become a "ghost-town" as some reports claim, attracting only less than a quarter of its anticipated population? Although the smart city model has been hailed by technocratic enthusiasts as a solution to the sustainable city challenge for almost two decades, it has increasingly been critiqued for being overly technocratic and top-down in orientation, decreeing forms of algorithmic governance which control and discipline citizens, and omitting qualitative factors such as cultural vibrancy and community bonding. And in the process, both designers and citizens become increasingly marginalized from the discussion. I intend to address the shortcomings of current approaches to Smart Cities in the context of human -centric urban design and develop a new design methodology which emphasizes on the "smart citizen" to effectively engage the collective throughout a collaborative urban design process. This thesis surveys a number of significant recent projects and studies their goals, proposed frameworks and interventions, ingredients used in their loT solutions as well as potential concerns, and uses the findings to create a citizen engagement tool and design framework to be tested on a site in Ang Sila, Thailand.
by Helena Hang Rong.
S.M.
S.M. Massachusetts Institute of Technology, Department of Architecture
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Lee, Benjamin. "Intelligent computer tools for urban design and planning." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0014/MQ27569.pdf.

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Choudhry, Omar Hussain Carleton University Dissertation Engineering Civil and Environmental. "Intelligent transportation system applications for urban courier movements." Ottawa, 1996.

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Vitor, Giovani Bernardes 1985. "Urban environment and navigation using robotic vision = conception and implementation applied to autonomous vehicle = Percepção do ambiente urbano e navegação usando visão robótica: concepção e implementação aplicado à veículo autônomo." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265843.

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Orientadores: Janito Vaqueiro Ferreira, Alessandro Corrêa Victorino
Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica
Made available in DSpace on 2018-08-26T17:57:25Z (GMT). No. of bitstreams: 1 Vitor_GiovaniBernardes_D.pdf: 28262004 bytes, checksum: eeccacc4c01faa822412782af2e96121 (MD5) Previous issue date: 2014
Resumo: O desenvolvimento de veículos autônomos capazes de se locomover em ruas urbanas pode proporcionar importantes benefícios na redução de acidentes, no aumentando da qualidade de vida e também na redução de custos. Veículos inteligentes, por exemplo, frequentemente baseiam suas decisões em observações obtidas a partir de vários sensores tais como LIDAR, GPS e câmeras. Atualmente, sensores de câmera têm recebido grande atenção pelo motivo de que eles são de baixo custo, fáceis de utilizar e fornecem dados com rica informação. Ambientes urbanos representam um interessante mas também desafiador cenário neste contexto, onde o traçado das ruas podem ser muito complexos, a presença de objetos tais como árvores, bicicletas, veículos podem gerar observações parciais e também estas observações são muitas vezes ruidosas ou ainda perdidas devido a completas oclusões. Portanto, o processo de percepção por natureza precisa ser capaz de lidar com a incerteza no conhecimento do mundo em torno do veículo. Nesta tese, este problema de percepção é analisado para a condução nos ambientes urbanos associado com a capacidade de realizar um deslocamento seguro baseado no processo de tomada de decisão em navegação autônoma. Projeta-se um sistema de percepção que permita veículos robóticos a trafegar autonomamente nas ruas, sem a necessidade de adaptar a infraestrutura, sem o conhecimento prévio do ambiente e considerando a presença de objetos dinâmicos tais como veículos. Propõe-se um novo método baseado em aprendizado de máquina para extrair o contexto semântico usando um par de imagens estéreo, a qual é vinculada a uma grade de ocupação evidencial que modela as incertezas de um ambiente urbano desconhecido, aplicando a teoria de Dempster-Shafer. Para a tomada de decisão no planejamento do caminho, aplica-se a abordagem dos tentáculos virtuais para gerar possíveis caminhos a partir do centro de referencia do veículo e com base nisto, duas novas estratégias são propostas. Em primeiro, uma nova estratégia para escolher o caminho correto para melhor evitar obstáculos e seguir a tarefa local no contexto da navegação hibrida e, em segundo, um novo controle de malha fechada baseado na odometria visual e o tentáculo virtual é modelado para execução do seguimento de caminho. Finalmente, um completo sistema automotivo integrando os modelos de percepção, planejamento e controle são implementados e validados experimentalmente em condições reais usando um veículo autônomo experimental, onde os resultados mostram que a abordagem desenvolvida realiza com sucesso uma segura navegação local com base em sensores de câmera
Abstract: The development of autonomous vehicles capable of getting around on urban roads can provide important benefits in reducing accidents, in increasing life comfort and also in providing cost savings. Intelligent vehicles for example often base their decisions on observations obtained from various sensors such as LIDAR, GPS and Cameras. Actually, camera sensors have been receiving large attention due to they are cheap, easy to employ and provide rich data information. Inner-city environments represent an interesting but also very challenging scenario in this context, where the road layout may be very complex, the presence of objects such as trees, bicycles, cars might generate partial observations and also these observations are often noisy or even missing due to heavy occlusions. Thus, perception process by nature needs to be able to deal with uncertainties in the knowledge of the world around the car. While highway navigation and autonomous driving using a prior knowledge of the environment have been demonstrating successfully, understanding and navigating general inner-city scenarios with little prior knowledge remains an unsolved problem. In this thesis, this perception problem is analyzed for driving in the inner-city environments associated with the capacity to perform a safe displacement based on decision-making process in autonomous navigation. It is designed a perception system that allows robotic-cars to drive autonomously on roads, without the need to adapt the infrastructure, without requiring previous knowledge of the environment and considering the presence of dynamic objects such as cars. It is proposed a novel method based on machine learning to extract the semantic context using a pair of stereo images, which is merged in an evidential grid to model the uncertainties of an unknown urban environment, applying the Dempster-Shafer theory. To make decisions in path-planning, it is applied the virtual tentacle approach to generate possible paths starting from ego-referenced car and based on it, two news strategies are proposed. First one, a new strategy to select the correct path to better avoid obstacles and to follow the local task in the context of hybrid navigation, and second, a new closed loop control based on visual odometry and virtual tentacle is modeled to path-following execution. Finally, a complete automotive system integrating the perception, path-planning and control modules are implemented and experimentally validated in real situations using an experimental autonomous car, where the results show that the developed approach successfully performs a safe local navigation based on camera sensors
Doutorado
Mecanica dos Sólidos e Projeto Mecanico
Doutor em Engenharia Mecânica
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Kolosz, Ben William. "Assessing the sustainability performance of inter-urban intelligent transport." Thesis, University of Leeds, 2013. http://etheses.whiterose.ac.uk/5502/.

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The implementation of ITS to increase the efficiency of saturated highways has become increasingly prevalent. It is a high level objective for many international governments and operators that highways should be managed in a way that is both sustainable i.e. environmental, social and economically sound and supportive of a Low-Carbon-Energy Future. Some clarity is therefore needed to understand how Intelligent Transport Systems perform within the constraints of that objective. This thesis describes the development of performance criteria that reflect the contributions of Information Communication Technology (ICT) emissions, vehicle emissions and the embedded carbon within the physical transport infrastructure that typically comprises three types of Intelligent Transport System. Active Traffic Management, Intelligent Speed Adaptation and the Automated Highway System are a collection of systems designed to transform the road network into a highly efficient and congestion free transport solution and all possess varying levels of uncertainty in terms of sustainability performance. The performance criteria form part of a new framework methodology ‘EnvFUSION’ (Environmental Fusion for ITS) outlined here. An attributional LCA and c-LCA (consequential lifecycle assessment) are both undertaken which forms part of a data fusion process using data from various sources. The models forecast improvements for the three ITS technologies in-line with social acceptability, economic profitability and major carbon reduction scenarios up to 2050 on one of the UK's most congested highways. Analytical Hierarchy Process and Dempster-Shafer theory are used to weight criteria which form part of an Intelligent Transport Sustainability Index. Overall performance is then synthesized. Results indicate that there will be a substantial increase in socio-economic and emissions benefits, provided that the policies are in place and targets are reached which would otherwise delay their realisation. To conclude, an integrated strategic performance management framework is proposed which performs socio-technical comparisons of four key performance areas between ITS schemes in order to identify energy and emission hotspots.
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Books on the topic "Intelligenza urbana"

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Stormwater and Urban Water Systems Modeling Conference (2005 Toronto, Ont.). Intelligent modeling of urban water systems. Guelph, Ont: CHI, 2006.

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Yuan, Xiaohui, and Mohamed Elhoseny, eds. Urban Intelligence and Applications. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45099-1.

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Yuan, Xiaohui, Mohamed Elhoseny, and Jianfang Shi, eds. Urban Intelligence and Applications. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4601-7.

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Mozère, Liane. Intelligence des banlieues. La Tour d'Aigues: Editions de l'Aube, 1999.

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Stormwater and Urban Water Systems Modeling Conference. Intelligent modeling of urban water systems. Guelph, ON: CHI, 2005.

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Mohan, Dinesh. Intelligent transportation systems (ITS) and urban transport. New Delhi: Transportation Research and Injury Prevention Programme, Indian Institute of Technology, Delhi, 2011.

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White, Roger. The artificial intelligence of urban dynamics: Neural network modelling of urban structure. [Toronto]: Centre for Urban and Community Studies, University of Toronto, 1989.

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1946-, Maciocco Giovanni, and Seminario Sistemi intelligenti e pianificazione urbana., eds. La città, la mente, il piano: Sistemi intelligenti e pianificazione urbana. Milano, Italy: FrancoAngeli, 1994.

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Towards resili(g)ence: Città intelligenti, paesaggi resilienti. Genova: Genova University Press, 2020.

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Taylor, Richard V. Planning for intelligent transportation systems in small urban areas. Charlottesville, Va: Virginia Transportation Research Council, 1997.

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Book chapters on the topic "Intelligenza urbana"

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Pincay Nieves, Jhonny. "Computational Intelligence." In Smart Urban Logistics, 33–56. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16704-1_3.

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I. Meneguette, Rodolfo, Robson E. De Grande, and Antonio A. F. Loureiro. "Intelligent Transportation Systems." In Urban Computing, 1–21. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93332-0_1.

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de Castro Neto, Miguel, and João Sousa Rego. "Urban Intelligence for Sustainability." In Lecture Notes in Information Systems and Organisation, 139–59. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14850-8_10.

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Lei, Jianjun, and Jiapeng Li. "Urban Monthly Water Consumption Forecasting Based on Signal Decomposition and Optimized Extreme Learning Machine." In Artificial Intelligence in Intelligent Systems, 212–23. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77445-5_19.

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Wu, Mingxi. "Future Urban Operations." In Intelligent Warfare, 358–87. London: Routledge, 2022. http://dx.doi.org/10.4324/b22974-16.

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Tang, Nam, Cuong Do, Tien Ba Dinh, and Thang Ba Dinh. "Urban Traffic Monitoring System." In Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 573–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25944-9_74.

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Wang, Tingyong, Yuweng Zhu, Fengjuan Zhang, and Wei Zhao. "Intelligent Development of Urban Housing." In Advances in Intelligent Systems and Computing, 536–43. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62746-1_79.

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Shlyakhetko, Olena, Michał Kabat, Tomasz Majchrzak, Damian Olczyk, and Wojciech Nowakowski. "Intelligent Urban Investment Management System." In Studies in Systems, Decision and Control, 139–79. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97008-6_7.

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Haldorai, Anandakumar, Arulmurugan Ramu, and Suriya Murugan. "Web Intelligence and Data Mining in Urban Areas." In Urban Computing, 27–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26013-2_2.

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Zhao, Jianyu, Diankui Tang, Xin Geng, and Lei Jia. "Urban Arterial Traffic Coordination Control System." In Artificial Intelligence and Computational Intelligence, 275–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16527-6_35.

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Conference papers on the topic "Intelligenza urbana"

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Barberis, Walter. "Ciudad urbótica contemporánea: urbanística y nuevas tecnologías al servicio de la calidad del espacio y los servicios urbanos." In International Conference Virtual City and Territory. Mexicali: Universidad Autónoma de Baja California, 2010. http://dx.doi.org/10.5821/ctv.7638.

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Las nuevas tecnologías en ámbito urbano inciden fuertemente en la calidad de vida de los ciudadanos, de los city users, de los turistas, pero también en la eficiencia de las empresas, de los servicios públicos y en la atractividad para nuevas inversiones. Todas estas condiciones colocan las ciudades en posiciones mas o menos ventajosas de un mapa global virtual. Las ciudades competitivas atraen recursos, capital humano, creatividad e impulsan el crecimiento socio-cultural y económico. El mayor desafío al que nos estamos enfrentando es la gestión, el control y el diseño de las ciudades que apoyan su funcionamiento en instrumentos casi completamente virtuales. La ciudad virtual no reemplaza en ninguna manera la ciudad real, solo la enriquece de complejidad y de componentes inmateriales. Contrariamente, los modelos de ordenamiento territorial tradicionales se vuelven obsoletos al encontrar nuevos y grandes flujos de información que circulan, en tiempo real. El uso de nuevas y modernas tecnologías en el campo del urbanismo (en la gestión del territorio) comporta un cambio radical de la lógica de intervención del sector publico. El concepto de urbótica, o sea, el desarrollo de sistemas inteligentes integrados a nivel urbano, hace indispensable la necesidad de replantearse la lógica de intervención en dicho contexto; no se trata de agregar automatismos a la gestión y al control de la ciudad (como en el caso de los relevadores de velocidad, de emisión de agentes contaminantes, etc.) sino de un re-pensamiento radical que parte desde el análisis, la proyectación, la ejecución, la puesta en servicio y la evaluación de todo el proceso de ordenamiento territorial. En este trabajo nos proponemos delinear escenarios de desarrollo urbano altamente tecnificados, donde emerge la complejidad de la superposición de la ciudad física con la nueva ciudad virtual. No nos basaremos en ámbitos territoriales definidos, sino en un modelo teórico que pone en relación los los siguientes ámbitos temáticos: - Servicios urbanos; - Transporte publico; - Gestión del trasporto privado; - Seguridad urbana; - Sistemas de información al ciudadano; - Sistema de monitoreo y evaluación del sistema urbano. El resultado final será una estructura compleja y de fácil lectura que permitirá identificar puntos críticos del encuentro entre el sistema urbano tradicional y el sistema urbano virtual. Creemos fuertemente que este sea, hoy más que nunca, el primer paso para la redefinición de políticas de gobierno y ordenamiento del territorio y que los escenarios de desarrollo urbótico sean una posible alternativa de intervención en la ciudad no planificada. En el desarrollo del documento trataremos de demostrar como las nuevas tecnologías hoy disponibles pueden ser combinadas de manera tal de mejorar la calidad urbana en la ciudad informal, irregular, dispersa, sin orden aparente. Basándonos en los resultados de investigaciones anteriores que demuestran que la ciudad informal sigue reglas de asentamiento y formas de relación sensibles a la aplicación de dispositivos capaces de interactuar tanto con los ciudadano como con los planificadores, o sea reactiva a la urbótica. New technologies in urban areas have a strong impact on the quality of life of citizens, city users, tourists, but also on the efficiency of enterprises, public services and the attractiveness for new investments. All these conditions place the cities in a more or less advantageous position of a virtual global map. Competitive cities attract resources, human capital, and creativity and drive the economic and socio-cultural growth. The biggest challenge we are facing is the management, control and design of cities supported on almost entirely virtual instruments. Virtual city does not replace in any way the actual city. It only improve it of complexity and intangible components. In contrast, traditional governance models become obsolete to find large new flows of information circulating in real time. The use of new and modern technologies in the field of urban planning (in the management of the territory) involves a radical change in the logic of public sector intervention. The concept of Urbótica, that is, the development of integrated intelligent systems for the city, makes compulsory the need to rethink the logic of intervention in the urban context, it is not automatically added to the management and control of the city (as in the case of the speed relay, emission of pollutants, etc.) but a radical re-thinking that starts from the analysis, the design, implementation, commissioning and evaluating the whole process. In this work we propose to delineate high tech urban development scenarios, where the complexity arises from the superposition of the physical city with the new virtual one. We will not rely on defined territorial areas, but in a theoretical model that relates the following subject areas: - Urban services; - Public transport; - Management of private transport; - Urban Security; - Citizen information systems; - Monitoring and assessment of urban system. The result is a complex structure but simply to be read that will identify critical points in the encounter between the traditional urban system and the possible virtual one. We strongly believe that this is, today more than ever, the first step in the redefinition of government policies and land use planning. The development of urban scenarios based on high tech development (urbótica) is a possible alternative of intervention on unplanned city. In developing the document will try to show how new technologies available today can be combined so as to improve the urban quality in the city informal, irregular, scattered city, which follows rules of settlement and forms of sensible relation to the implementation of devices capable of interacting with both citizens and planners, so that is reactive to the urbótica.
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Zheng, Yongqing, Han Yu, Kun Zhang, Yuliang Shi, Cyril Leung, and Chunyan Miao. "Intelligent Decision Support for Improving Power Management." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/965.

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With the development and adoption of the electricity information tracking system in China, real-time electricity consumption big data have become available to enable artificial intelligence (AI) to help power companies and the urban management departments to make demand side management decisions. We demonstrate the Power Intelligent Decision Support (PIDS) platform, which can generate Orderly Power Utilization (OPU) decision recommendations and perform Demand Response (DR) implementation management based on a short-term load forecasting model. It can also provide different users with query and application functions to facilitate explainable decision support.
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Silva, Matteus Vargas Simão da, Luiz Fernando Bittencourt, and Adín Ramirez Rivera. "Towards Federated Learning in Edge Computing for Real-Time Traffic Estimation in Smart Cities." In Workshop de Computação Urbana. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/courb.2020.12361.

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The wide proliferation of sensors and devices of Internet of Things(IoT), together with Artificial Intelligence (AI), has created the so-called Smart Environments. From a network perspective, these solutions suffer from high latency and increased data transmission. This paper proposes a Federated Learning (FL) architecture for Real-Time Traffic Estimation, supported by Roadside Units (RSU’s) for model aggregation. The solution envisages that learning will be done on clients with their local data, and fully distributed on the Edge, with high learning rates, low latency, and less bandwidth usage. To achieve that,this paper discusses tools and requirements for FL implementation towards a model for real-time traffic estimation, as well as how such solution could be evaluated using VANET and network simulators. As a first practical step, we show a preliminary evaluation of a learning model using a data set of cars that demonstrate a distributed learning strategy. In the future, we will use a similar distributed strategy within our proposed architecture.
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Joubert, J. W. "Vehicle routing: less “artificial”, more “intelligence”." In URBAN TRANSPORT 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/ut060251.

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Zhang, Tao. "Intelligent classroom perception system based on Artificial Intelligence." In Proceedings of the 6th EAI International Conference on IoT in Urban Space, Urb-IoT 2021, 20-21 December 2021, Shenzhen, People’s Republic of China. EAI, 2022. http://dx.doi.org/10.4108/eai.20-12-2021.2315037.

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Shah, A. A., N. P. Mahalik, J. Namkoong, and J. D. Lee. "Intelligent transportation-deployment and development process in Korea." In URBAN TRANSPORT 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/ut060741.

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Zhu, Bing. "Intelligent teaching integrated service platform based on Artificial Intelligence." In Proceedings of the 6th EAI International Conference on IoT in Urban Space, Urb-IoT 2021, 20-21 December 2021, Shenzhen, People’s Republic of China. EAI, 2022. http://dx.doi.org/10.4108/eai.20-12-2021.2315035.

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Montalvo, I., J. Izquierdo, S. Schwarze, and R. Pérez-García. "Agent swarm optimisation, a novel approach in swarm intelligence." In Urban Water 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/uw120041.

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Richter, T., and S. Ruhl. "The integration of intelligent transport systems in urban transport." In URBAN TRANSPORT 2013. Southampton, UK: WIT Press, 2013. http://dx.doi.org/10.2495/ut130181.

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DANCHUK, Viktor, Christian WEIß, and Vitaliy SVATKO. "SMART LOGISTICS WITHIN THE FRAMEWORK OF THE CONCEPT OF CYBER-PHYSICAL SYSTEMS." In Міжнародна наукова конференція «ІНТЕЛЕКТУАЛЬНІ ТРАНСПОРТНІ СИСТЕМИ: ЕКОЛОГІЯ, БЕЗПЕКА, ЯКІСТЬ, КОМФОРТ». National Transport University, 2022. http://dx.doi.org/10.33744/978-966-632-318-0-2022-3-14-19.

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The most effective solution to the problems associated with accelerated motorization under modern conditions is the implementation of the concept of Smart Logistics, namely the development, implementation and application of Intelligent Transportation Systems (ITS), where the effective use of modern intelligent technologies of the Internet of Things (IoT), blockchain (BC), Big Data (BD) and Artificial Intelligence (AI). However, fundamental and applied theoretical research on Smart Logistics today is largely fragmented, since it is carried out by scientists in different subject areas. These research activities are aimed at solving problems of practical application in various, at best related, sectors of the innovative development of society. Therefore, these scientists have a different vision of ways to improve the efficiency of functioning and development of Smart Logistic, which leads to the formation of different approaches. In addition, the use of intelligent information technologies for the effective organization, optimization and management of logistics processes for the implementation of freight and passenger transportation in real time with a large and variable workload of the automotive urban road network (URN) is episodic and imperfect. One of the important reasons for this is the lack of adequate methods for discrete optimization of routes with dynamic updates that take into account the real dynamics of traffic flows (TF) on sections of URN.
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Reports on the topic "Intelligenza urbana"

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Innocenti, Charles W. Intelligence Analysis for Urban Combat. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada403530.

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Steadman, James. Understanding the Urban Battlespace: An Intelligence Challenge. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada389843.

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Bush, Bichson. Intelligence, Surveillance, and Reconnaissance (ISR) Support to Urban Operations. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada395609.

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Zhang, Yangjun. Unsettled Topics Concerning Flying Cars for Urban Air Mobility. SAE International, May 2021. http://dx.doi.org/10.4271/epr2021011.

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Flying cars—as a new type of vehicle for urban air mobility (UAM)—have become an important development trend for the transborder integration of automotive and aeronautical technologies and industries. This article introduces the 100-year history of flying cars, examines the current research status for UAM air buses and air taxis, and discusses the future development trend of intelligent transportation and air-to-land amphibious vehicles. Unsettled Topics Concerning Flying Cars for Urban Air Mobility identifies the major bottlenecks and impediments confronting the development of flying cars, such as high power density electric propulsion, high lift-to-drag ratio and lightweight body structures, and low-altitude intelligent flight. Furthermore, it proposes three phased goals and visions for the development of flying cars in China, suggesting the development of a flying vehicle technology innovation system that integrates automotive and aeronautic industries.
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Nguyen, Cam. Advanced Concurrent-Multiband, Multibeam, Aperture-Synthesis with Intelligent Processing for Urban Operation Sensing. Fort Belvoir, VA: Defense Technical Information Center, April 2012. http://dx.doi.org/10.21236/ada582347.

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Keller, Brian A. Intelligence Support to Military Operations on Urban Terrain: Lessons Learned from the Battle of Grozny. Fort Belvoir, VA: Defense Technical Information Center, April 2000. http://dx.doi.org/10.21236/ada374901.

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Scribner, David R., and Patrick H. Wiley. The Development of a Virtual McKenna Military Operations in Urban Terrain (MOUT) Site for Command, Control, Communication, Computing, Intelligence, Surveillance, and Reconnaissance (C4ISR) Studies. Fort Belvoir, VA: Defense Technical Information Center, June 2007. http://dx.doi.org/10.21236/ada468507.

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Wilson, D., Daniel Breton, Lauren Waldrop, Danney Glaser, Ross Alter, Carl Hart, Wesley Barnes, et al. Signal propagation modeling in complex, three-dimensional environments. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40321.

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The Signal Physics Representation in Uncertain and Complex Environments (SPRUCE) work unit, part of the U.S. Army Engineer Research and Development Center (ERDC) Army Terrestrial-Environmental Modeling and Intelligence System (ARTEMIS) work package, focused on the creation of a suite of three-dimensional (3D) signal and sensor performance modeling capabilities that realistically capture propagation physics in urban, mountainous, forested, and other complex terrain environments. This report describes many of the developed technical capabilities. Particular highlights are (1) creation of a Java environmental data abstraction layer for 3D representation of the atmosphere and inhomogeneous terrain that ingests data from many common weather forecast models and terrain data formats, (2) extensions to the Environmental Awareness for Sensor and Emitter Employment (EASEE) software to enable 3D signal propagation modeling, (3) modeling of transmitter and receiver directivity functions in 3D including rotations of the transmitter and receiver platforms, (4) an Extensible Markup Language/JavaScript Object Notation (XML/JSON) interface to facilitate deployment of web services, (5) signal feature definitions and other support for infrasound modeling and for radio-frequency (RF) modeling in the very high frequency (VHF), ultra-high frequency (UHF), and super-high frequency (SHF) frequency ranges, and (6) probabilistic calculations for line-of-sight in complex terrain and vegetation.
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Will, Fabian. Individuell mobil, gemeinsam befördert. Goethe-Universität, Institut für Humangeographie, January 2022. http://dx.doi.org/10.21248/gups.58867.

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Im Zuge der fortlaufenden Digitalisierung im Mobilitätssektor werden aktuell besonders in Großstädten verstärkt geteilte on-demand Fahrdienstleistungen implementiert. Das sog. Ridepooling beschreibt eine dynamische und digitale Form des konventionellen Sammeltaxis, bei welcher durch eine intelligente Algorithmik mehrere voneinander unabhängige, zeitlich korrespondierende Fahrtwünsche in Echtzeit zu einer Route kombiniert werden. So können einander unbekannte Kund*innen gemeinsam und gleichzeitig nach ihren individuellen Bedürfnissen auf Direktverbindungen befördert werden. Viele der Ridepooling-Angebote werden in urban geprägten Raumstrukturen von privaten Verkehrsunternehmen - teilweise sogar eigenwirtschaftlich - betrieben und als nachhaltige Mobilitätsform beworben: Sie soll die sich individualisierenden Mobilitätsbedürfnisse der Bürger*innen befriedigen, dadurch städtische Problematiken wie hohe Luft- und Lärmbelastung, Staubildung sowie Flächenknappheit adressieren und zu einer umweltfreundlichen Verlagerung des lokalen Verkehrsaufkommens (Modal Shift) führen. Die vorliegende Arbeit untersucht am Beispiel der Großstädte Berlin und Hamburg, wie und unter welchen Zielsetzungen der unterschiedlichen Akteure die neuen Angebotsformen implementiert wurden und welche Auswirkungen sie auf die städtischen Mobilitätssysteme haben. Durch Expert*innen-Interviews mit städtischen Behörden, öffentlichen und privaten Verkehrsunternehmen, Verkehrsverbünden und Expert*innen für digitale und städtische Mobilität soll der aktuell noch geringe Forschungsstand über die Zielsetzungen, Formen und Auswirkungen von Ridepooling-Angeboten in städtischen Räumen um praxisnahe Betrachtungen und Erkenntnisse erweitert werden. Es kann angenommen werden, dass die unterschiedlichen Ausgestaltungen der untersuchten Angebote von ioki, CleverShuttle, MOIA und BerlKönig dabei durchaus voneinander differierende Effekte auf das Nutzungsverhalten der Kund*innen und die städtische Verkehrsgestaltung sowie deren ökologischen und sozialen Nachhaltigkeitsdimensionen haben.
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