Kowsalyadevi, A K and Jayasanthi, M and Pavithra, C V and Divya, R and Archana, D (2023) Smart transportation for bus travellers and identifying the optimal insurance premium using Internet of Things. In: Blockchain Enabled Secure Big Data Computing for Smart Cities Using Internet of Things. Nova Science Publishers, Inc., pp. 259-278. ISBN 9798891132801
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Abstract
Using infrastructure development and connectivity technologies, Smart Cities are designed to increase the value of your life through monetary expansion and improved quality of life. A Smart City would consist of a wide range of groundwork components, including ample water supply, reliable electricity, education, public health, solid waste management, resourceful urban mobility, and civic transport, affordable housing for the poor, good governance, including e-Government and citizen participation, sustainable environment, robust IT connectivity and digitalization, and safety and security for citizens, especially for children and women. A safer, greener and more convenient next generation of transportation goes beyond simply reaching A to B. The future of intelligent transportation is close at hand when intelligent processors are connected and distributed inside vehicles. The system alarms the usual travelers by intimating the heavy traffic zones at the time to plan the travel. Insurance premium details are calculated by checking not only the current condition of the vehicle but also by analyzing whether the traffic rules and operating rules of the vehicle are obeyed/followed or not. Then the premium amount to be paid is sent to the vehicle owner. Aiding people with these practices can save public time, promote traffic knowledge, utilize transportation efficiently, and brand the city even smarter. It is desirable to transform transportation in profound and unimaginable ways. Moreover, seamless connectivity will be available across all modes of transportation. Public bus information is provided to frequent travelers by the Smart Transportation System. As the bus moves around a city, the system keeps track of real-time information including timings, seat availability, the bus's location, the time it takes to travel to a specific destination, and the density of people inside the vehicle. The method is not only limited to providing significant information. On top of it, it serves to assess the performance of the driver that tends to decide the vehicle insurance based on run-time data. The system can be implemented in two phases namely-the Data Acquisition phase which tracks the inline details of the buses using sensors including the location and seat availability of the bus. The second phase, Data Analytics, acquires these details and provides the information to the appropriate users through a mobile application.
Item Type: | Book Section |
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Uncontrolled Keywords: | Data acquisition; Data analytics; Optimal vehicle insurance; Smart transport |
Subjects: | C Computer Science and Engineering > Data Science |
Divisions: | Electrical and Electronics Engineering Electronics and Communication Engineering |
Depositing User: | Users 5 not found. |
Date Deposited: | 04 Jul 2024 08:40 |
Last Modified: | 04 Jul 2024 08:40 |
URI: | https://ir.psgitech.ac.in/id/eprint/708 |