Techniques for large scale deployment of demand-aware bus transit systems by Perera, Talagalage Thilina Dharshana

“…The model for demand prediction was trained using multi-modal sensing inputs from mobile apps and vision-based crowd counting. This has paved the way for estimating near-future demand at each bus stop to schedule flexible routes in real-time. …”
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Failure as the treatment for transforming complexity to complicatedness by Karsten Boye Rasmussen

“…The research included many types of data among which were data from telephone interviews concerning ‘who, where, why, when, and how’ in an Origin-Destination survey, data generated by mobile apps tracking fitness activities, collision data, and bike counters placed in the area. …”
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Transforming thermal comfort model and control in the tropics : a machine-learning approach by Hu, Weizheng

“…To address this issue, we develop an Internet of Things (IoT) based data acquisition system, including a back-end server, iOS & Android mobile Apps and a management website, and then use it to support our in-situ measurements and conduct one-year data collection experiments to obtain our own dataset. …”
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Updating Linked Data practices for FAIR Digital Object principles by Stian Soiland-Reyes, Leyla Jael Castro, Daniel Garijo, Marc Portier, Carole Goble, Paul Groth

“…The HTTP protocol is used heavily for applications (e.g. mobile apps and cloud services), with REST APIs of customised JSON structures. …”
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