@inproceedings{10.1145/3539597.3575781,

title = {SmartCityBus - A Platform for Smart Transportation Systems},

author = {Georgios Bouloukakis and Chrysostomos Zeginis and Nikolaos Papadakis and Kostas Magoutis and George Christodoulou and Chrysanthi Kosyfaki and Konstantinos Lampropoulos and Nikos Mamoulis},

url = {https://doi.org/10.1145/3539597.3575781, PDF},

doi = {10.1145/3539597.3575781},

isbn = {9781450394079},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining},

pages = {1299–1300},

publisher = {Association for Computing Machinery},

address = {Singapore},

series = {WSDM '23},

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.},

keywords = {context brokers, smart cities, smart transportation},

pubstate = {published},

tppubtype = {inproceedings}

}