Using IoT in the Public Transportation System of Nepal
Mahat, Gaurab (2020)
Mahat, Gaurab
2020
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2020052915202
https://urn.fi/URN:NBN:fi:amk-2020052915202
Tiivistelmä
The purpose of this thesis was to use Internet of Things (IoT) in the public transportation system of Nepal. The information gathered using IoT devices could be used when making decisions to improve the public transportation system. Through IoT one would be able to track the locations of public vehicles and see the number of passengers in that vehicle. It could be used to notify drivers when the number of passengers exceed the limit of the vehicle.
The thesis was divided into two parts: theory and practical. The theory part defined the general idea about IoT, its use cases and technologies involved in an IoT system. In the practical part IoT devices such as the Raspberry Pi, infrared sensors and LED lights were used to demonstrate the working idea of the project. The Infrared sensors were used to count the number of passengers in the vehicle. The LEDs were used to warn drivers if the vehicle exceeded the passenger limit. Based on that information a graph was used to visualize the number of passengers in the certain time of the day in different cities.
This project was a prototype and could be further improved to develop a working device that could be deployed in a working environment. The data gathered in this project gave clear information about the number of people using public transportation service in different routes. This information can be crucial when making important decisions, such as, managing timetables for the public vehicles, deploying more or reducing the number of public vehicles from certain routes of the city.
The thesis was divided into two parts: theory and practical. The theory part defined the general idea about IoT, its use cases and technologies involved in an IoT system. In the practical part IoT devices such as the Raspberry Pi, infrared sensors and LED lights were used to demonstrate the working idea of the project. The Infrared sensors were used to count the number of passengers in the vehicle. The LEDs were used to warn drivers if the vehicle exceeded the passenger limit. Based on that information a graph was used to visualize the number of passengers in the certain time of the day in different cities.
This project was a prototype and could be further improved to develop a working device that could be deployed in a working environment. The data gathered in this project gave clear information about the number of people using public transportation service in different routes. This information can be crucial when making important decisions, such as, managing timetables for the public vehicles, deploying more or reducing the number of public vehicles from certain routes of the city.