Abstract
Pedestrian safety has become an inherent problem all over the world. This work provides a unique framework for pedestrian safety using the Internet of Things. It aims to provide an IoT built motion-sensing system that ensures the safety of the pedestrians by providing smart notifications on their mobile devices of incoming vehicles as well as LED systems that notify vehicles of passing pedestrians. The system also includes location tracking, and other emergency security services (like emergency push buttons) that can be used by pedestrians as well as all other person in the vicinity. Various patterns were observed that helped identify the key elements to ensuring pedestrian safety that have been incorporated into this proposed solution. The proposed solution is highly efficient, cost effective and can be easily integrated into the current traffic management system. The key technologies used to build this component include the Internet of Things, Cloud Services, RESTful web services, and IFTTT web services. If incorporated into the current traffic management system, it can lead to enhancement in pedestrian safety, lower accident rates, and general safer traffic handling.
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References
Pau G, Campisi T, Canale A, Severino A, Collotta M., Tesoriere G (2019) Smart pedestrian crossing management at traffic light junctions through a fuzzy-based approach. Semanticscholar.org. https://www.semanticscholar.org/paper/Smart-Pedestrian-Crossing-Management-at-Traffic-a-PauCampisi/ba898fa87af917316e7884e798971611bef69f0d. Accessed 10 June 2019
Kumari A, Satish B (2019) Automated traffic control for pedestrian safety - IEEE Conference Publication. Ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/7975589. Accessed 10 June 2019
An K, Lee S, Jeong Y, Seo D (2019). https://www.researchgate.net/publication/321948233_Pedestrian-Safe_Smart_Crossing_System_Based_on_IoT_with_Object_Tracking. Accessed 10 June 2019
6 aménagements pour accroître la mobilité et la sécurité des piétons | 100°, 100°, 2019. https://centdegres.ca/magazine/amenagement/6-amenagements-pour-accroitre-la-mobilite-et-lasecurite-des-pietons/. Accessed 10 June 2019
Acknowledgements
This work was performed under the guidance of Professor/Dr. Anjali Awasthi- Associate Professor and Graduate Program Director (M.Eng.), Concordia Institute for Information Systems Engineering Education Ph.D. (2004) Industrial Engineering and Automation, University of Metz, France.
Research interests: City Logistics, Intelligent Transportation Systems, Quality assurance in supply chain management, IT & Decision making, Sustainable Supply Chain Management.
Author Ujjwal Khanna is a Research Assistant at Concordia University pursuing Master of Science in Quality Systems and Engineering with Bachelors in Computer Science.
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Khanna, U., Awasthi, A. (2020). Increasing Pedestrian Safety and Security Management Using Internet of Things (IOT) Application. In: Li, X., Xu, X. (eds) Proceedings of the Seventh International Forum on Decision Sciences. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-15-5720-0_10
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DOI: https://doi.org/10.1007/978-981-15-5720-0_10
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