Georgios Bouloukakis
Kostas Magoutis
ABSTRACT
With the growth of the Internet of Things (IoT), Smart(er) Cities have been a research goal of researchers, businesses and local authorities willing to adopt IoT technologies to improve their services. Among them, Smart Transportation [7,8], the integrated application of modern technologies and management strategies in transportation systems, refers to the adoption of new IoT solutions to improve urban mobility. These technologies aim to provide innovative solutions related to different modes of transport and traffic management and enable users to be better informed and make safer and 'smarter' use of transport networks. This talk presents SmartCityBus, a data-driven intelligent transportation system (ITS) whose main objective is to use online and offline data in order to provide accurate statistics and predictions and improve public transportation services in the short and medium/long term.
Supplemental Material
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- Georgios Bouloukakis, Chrysostomos Zeginis, Nikolaos Papadakis, Panagiotis Zervakis, Dimitris Plexousakis, and Kostas Magoutis. 2022. Enabling IoT-enhanced Transportation Systems using the NGSI Protocol. In Proceedings of 12th International Conference on the Internet of Things (IoT 2022).Google ScholarDigital Library
- Konstantinos Kepaptsoglou and Matthew Karlaftis. 2009. Transit route network design problem: Review. Journal of Transportation Engineering, Vol. 135, 8 (2009).Google ScholarCross Ref
- Mohamed Khalil El Mahrsi, Etienne Côme, Latifa Oukhellou, and Michel Verleysen. 2017. Clustering Smart Card Data for Urban Mobility Analysis. IEEE Trans. Intell. Transp. Syst., Vol. 18, 3 (2017), 712--728. https://doi.org/10.1109/TITS.2016.2600515Google ScholarDigital Library
- Nikolaos Papadakis, Georgios Bouloukakis, and Kostas Magoutis. 2022. Enabling Dynamic Smart Spaces using IoT-enhanced NGSI-LD Data Models. In 3rd IoT Connected World/Web Semantic Interoperability Workshop. Delft, Netherlands.Google Scholar
- Fangzhou Sun, Abhishek Dubey, Jules White, and Aniruddha Gokhale. 2019. Transit-hub: a smart public transportation decision support system with multi-timescale analytical services. Clust. Comput., Vol. 22, Suppl 1 (2019), 2239--2254. https://doi.org/10.1007/s10586-018--1708-zGoogle ScholarDigital Library
- Fotios Zantalis, Grigorios Koulouras, Sotiris Karabetsos, and Dionisis Kandris. 2019. A Review of Machine Learning and IoT in Smart Transportation. Future Internet, Vol. 11, 4 (2019). https://www.mdpi.com/1999--5903/11/4/94Google ScholarCross Ref
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Index Terms
- SmartCityBus - A Platform for Smart Transportation Systems
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