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The new concept for mobile environmental education extends the traditional media-based environmental interpretation by means of a mobile context-aware computer. This mobile nature guide system can assist its user during self-determined exploration by adapting its presentation to the usage situation, preferences and current environmental conditions. The impact of the prototype mobile nature guide on environmental literacy and user satisfaction has been compared to traditional media in the field.

Kontextbezogenes System --- Navigation --- mobile maps --- environmental interpretation --- environmental literacy --- E-Learning --- LBSMobile nature guide --- Umweltpsychologie --- impact evaluation --- Umweltinformationssystem --- Mobile Computing --- Umweltinformatik --- PDA --- context-awareness --- Naturentfremdung --- EvaluationMobiler Naturführer --- GIS --- Kartographie --- Umwelterziehung --- Umweltbewusstsein --- Naturerlebnis --- Umweltinterpretation

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We are living in an age of digital transformation, where internet connectivity is totally transparent for end users. Since the development of internet of things technologies and artificial intelligence algorithms, we have also been experiencing new business models and applications. In Ubiquitous and Pervasive Computing - New Trends and Opportunities, novel concepts and applications in this area are described, and the expectations and challenges of the next ten years are discussed. Individual chapters focus on data science, the internet of things, big data, Industry 4.0, high-performance computing, intelligent applications, and cloud computing environments.

Ubiquitous computing. --- Context-aware computing. --- Context-aware pervasive systems --- Context-awareness (Computer science) --- Ubiquitous computing --- Global system for mobile communications --- Mobile computing --- Sensor networks --- Pervasive computing --- UbiComp (Computer science) --- Electronic data processing --- Embedded computer systems --- Distributed processing

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Middleware --- Context-aware computing --- Internet of things --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications --- Context-aware pervasive systems --- Context-awareness (Computer science) --- Ubiquitous computing --- Global system for mobile communications --- Mobile computing --- Sensor networks --- Computer software

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The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI or machine-learning techniques to transportation planning and operation. The topics of the articles encompass traffic surveillance, traffic safety, vehicle emission reduction, congestion management, traffic speed forecasting, and ride sharing strategy.

History of engineering & technology --- autoencoder --- deep learning --- traffic volume --- vehicle counting --- CycleGAN --- bottleneck and gridlock identification --- gridlock prediction --- urban road network --- long short-term memory --- link embedding --- traffic speed prediction --- traffic flow centrality --- reachability analysis --- spatio-temporal data --- artificial neural network --- context-awareness --- dynamic pricing --- reinforcement learning --- ridesharing --- supply improvement --- taxi --- preventive automated driving system --- automated vehicle --- traffic accidents --- deep neural networks --- vehicle GPS data --- driving cycle --- micro-level vehicle emission estimation --- link emission factors --- MOVES --- black ice --- CNN --- prevention --- autoencoder --- deep learning --- traffic volume --- vehicle counting --- CycleGAN --- bottleneck and gridlock identification --- gridlock prediction --- urban road network --- long short-term memory --- link embedding --- traffic speed prediction --- traffic flow centrality --- reachability analysis --- spatio-temporal data --- artificial neural network --- context-awareness --- dynamic pricing --- reinforcement learning --- ridesharing --- supply improvement --- taxi --- preventive automated driving system --- automated vehicle --- traffic accidents --- deep neural networks --- vehicle GPS data --- driving cycle --- micro-level vehicle emission estimation --- link emission factors --- MOVES --- black ice --- CNN --- prevention

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The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI or machine-learning techniques to transportation planning and operation. The topics of the articles encompass traffic surveillance, traffic safety, vehicle emission reduction, congestion management, traffic speed forecasting, and ride sharing strategy.

autoencoder --- deep learning --- traffic volume --- vehicle counting --- CycleGAN --- bottleneck and gridlock identification --- gridlock prediction --- urban road network --- long short-term memory --- link embedding --- traffic speed prediction --- traffic flow centrality --- reachability analysis --- spatio-temporal data --- artificial neural network --- context-awareness --- dynamic pricing --- reinforcement learning --- ridesharing --- supply improvement --- taxi --- preventive automated driving system --- automated vehicle --- traffic accidents --- deep neural networks --- vehicle GPS data --- driving cycle --- micro-level vehicle emission estimation --- link emission factors --- MOVES --- black ice --- CNN --- prevention