Smart City Gnosys

Smart city article details

Title	Passive Mobile Crowdsensing For Determining The Volume Of Passengers In Public Transport
ID_Doc	41420
Authors	Prochazka J.; Plasilova A.
Year	2023
Published	Proceedings of 2023 2nd International Conference on Informatics, ICI 2023
DOI	http://dx.doi.org/10.1109/ICI60088.2023.10420943
Abstract	This conference paper presents a comprehensive exploration of the applicability of passive mobile crowdsensing for measuring pedestrian and passenger movement in public transit systems. The research endeavors to establish a robust method for gathering and processing sensor data, with a focus on data matching algorithms. It also involves practical sensor testing to evaluate the feasibility of Wi-Fi technology for these purposes. The study underscores the relevance of deploying specialized sensors and a dedicated server infrastructure to enhance data collection and analysis within public transport contexts. By developing custom sensors and server capabilities, the authors aim to elevate the accuracy and efficiency of device detection. This approach seeks to provide insights into rush hour dynamics across diverse scenarios, ultimately contributing to more efficient public transportation services and informed decision-making. The paper also serves as an introduction to the concept of crowdsensing, making it accessible to a broader audience. © 2023 IEEE.
Author Keywords	crowdsensing; data collection; device detection; MAC address; passenger; passive mobile crowdsensing; public transport; smart city; Wi-Fi

Similar Articles

Id	Similarity	Authors	Title	Published
16718	0.961	Plašilová A.; Procházka J.	Crowdsensing Technologies For Optimizing Passenger Flows In Public Transport	1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings (2023)
35521	0.893	Plasilova A.; Prochazka J.	Location-Based Crowdsensing Technologies For Planning Of Public Transport And Other Smart City Solutions	2022 6th International Conference on Smart Grid and Smart Cities, ICSGSC 2022 (2022)
16655	0.891	Ciabattini L.; Esposito A.; Moghbelan Y.; Forlesi M.; Bruno J.; Zyrianoff I.; Gigli L.; Bononi L.	Crosstime: A Mobile Application For Smarter Pedestrian Navigation And Traffic Light Awareness	Proceedings - IEEE International Conference on Mobile Data Management (2025)
16660	0.886	Chaaben M.; Bouguila N.; Patterson Z.	Crowd Counting Via Wi-Fi Probe Requests: Integrating Feature Selection And Data Generation	Proceedings - IEEE International Conference on Semantic Computing, ICSC (2025)
48813	0.885	Rontini M.; Bassem C.; Montori F.	Simulating Realistic User Mobility For Mobile Crowdsensing Using Tacsim: A Performance Study	Proceedings - 2025 IEEE International Conference on Smart Computing, SMARTCOMP 2025 (2025)
40549	0.883	Azmy S.B.; Zorba N.; Hassanein H.S.	Optimal Transport For Mobile Crowd Sensing Participants	IEEE Wireless Communications and Networking Conference, WCNC, 2019-April (2019)
48371	0.881	Darsena D.; Gelli G.; Iudice I.; Verde F.	Sensing Technologies For Crowd Management, Adaptation, And Information Dissemination In Public Transportation Systems: A Review	IEEE Sensors Journal, 23, 1 (2023)
16714	0.875	Bellavista P.; Cardone G.; Corradi A.; Foschini L.; Ianniello R.	Crowdsensing In Smart Cities: Technical Challenges, Open Issues, And Emerging Solution Guidelines	Handbook of Research on Social, Economic, and Environmental Sustainability in the Development of Smart Cities (2015)
13158	0.875	Meegahapola L.; Kandappu T.; Jayarajah K.; Akoglu L.; Xiang S.; Misra A.	Buscope: Fusing Individual & Aggregated Mobility Behavior For “Live” Smart City Services	MobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services (2019)
41975	0.87	Huang W.	Ph.D. Forum: A Study On Real-Time Crowdedness Sensing And Pedestrian Tracking In Multi-Environment	SenSys 2024 - Proceedings of the 2024 ACM Conference on Embedded Networked Sensor Systems (2024)