Abstract
This is an incorporated carrier which give all statistics approximately the metro rail and its routes for public. The proposed device is an internet primarily based totally GUI software which presents statistics concerning timings, routes and fare (Priyanka et al. in Int J Res Eng Sci Manag 3(6), 2020). The software additionally has an entire module devoted for transactions in which even clever card may be supplied without the person's bodily presence. This device consists of area monitoring facility which presents the cutting-edge area the usage of Google API. Recommendation device the usage of an ML set of rules can be carried out which recommends locations to go to nearby (Singh in Proceedings of 12th international conference on computing communication and networking technologies (ICCCNT), 6–8 Kharagpur, India, pp 1–24, 2021). The incorporated net software additionally consists of a function of elevating an emergency alert. Online Smart Card Availability in which a person can take a look at his card stability at his very own consolation while not having to go to metro stations.
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References
Singh P. Collaborative approach for recommendation system. In: Proceedings of 12th international conference on computing communication and networking technologies (ICCCNT), 6–8 Kharagpur, India. 2021. pp. 1–24.
Karna N. Implementation of GPS using IOT. In: Proceedings of IEEE Asia Pacific conference on wireless and mobile (APWiMob), Bali, Indonesia, 5–7 November. 2019. pp. 1–50.
Arthur RTL, Aguiar CSR. Floss FAQ chatbot project reuse: how to allow nonexperts to develop a chatbot. In: Proceedings of OpenSym '19: the 15th international symposium on open collaboration, Skövde Sweden, 20–22 August 2019. pp. 1–26.
Abhishek Nair M, Taunk S, Gangadhar Reddy P, Parveen Sultana H. Smart metro rail ticketing system. In: International conference on recent trends in advanced computing 2019, ICRTAC 2019.
Priyanka S, Abhishek R, Pasha A, ChandramouliBhat M, Raj DD. Smart ticket system for metro train. Int J Res Eng Sci Manag. 2020;3(6).
Polat H, Wenliang D. SVD-based collaborative filtering with privacy share. In: Proceedings of SAC05: the 2005 ACM symposium on applied computing, New Mexico, 13–17. 2005. pp. 1–24.
Bygari R. AI powered payment system. In: Proceedings of IEEE international conference on big data (big data), Orlando, FL, USA, 15–18 December. 2021. pp. 1–24.
Mohammadi A, Amador-Jimenez L, Nasiri F. Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Canada.
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This article is part of the topical collection “Advances in Computational Approaches for Artificial Intelligence, Image Processing, IoT and Cloud Applications” guest edited by Bhanu Prakash K N and M. Shivakumar.
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Pattan, D., Amaresh, A.M., Padmaja, K. et al. An Optimization Technique is Designed to Enhance the Performance of the Metro Rail System. SN COMPUT. SCI. 4, 294 (2023). https://doi.org/10.1007/s42979-022-01631-x
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DOI: https://doi.org/10.1007/s42979-022-01631-x