Abstract
Road transportation in India is assumed to be the second largest network. To manage such a large network, Toll collection method is used. Toll is collected manually, which requires a toll attendant. Manual process is time-consuming, resulting in a huge rush at the toll booth. Toll collection is one of the important problems in India. For making the system smooth IoTs-based systems are required, that maintain the vehicle health as well as toll tax when passing through any toll booth. In one toll, approximately 24 people are working in shift in classical systems. But, in the proposed system no one is required on booth. Everything is monitored remotely. For this setup, main items required are server-based system with a collection of high-speed Internet Aadhar Card, ZigBee and GPS. Then toll charges will display on monitor and message will be forwarded to the owner of vehicles and payment will be deducted from the account of owner. No need to pay in every booth by driver. For this whole system, when vehicles enter in the city, booth officers will collect the relevant information (vehicle papers, owner Aadhar card, etc.) from driver if vehicles are old and they will paste the barcode in that vehicles. In newly purchased vehicles, this system database is created during delivering the vehicles to customers. When compared to the traditional method, this method is very easy and also reduces the user’s wastage of time.
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Acknowledgments
I would like to thank Dr. S. Pal HOD, Department of Electronics and Communication and M. K. Mishra Vice Chancellor, Birla Institute of Technology, Mesra, Ranchi for their support, encouragement, and sharing their experience to carry out my research work and to explore new ideas in my field of study.
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Kumar, C., Nath, V. (2019). Design of Smart Embedded System for Auto Toll Billing System Using IoTs. In: Nath, V., Mandal, J. (eds) Nanoelectronics, Circuits and Communication Systems . Lecture Notes in Electrical Engineering, vol 511. Springer, Singapore. https://doi.org/10.1007/978-981-13-0776-8_38
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DOI: https://doi.org/10.1007/978-981-13-0776-8_38
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