Abstract:
Traffic congestion is an inevitable problem for metropolitan cities around the globe. A
new and dynamic internet based decision making tool for traffic management system
(TMS) was proposed and implemented in our previous work. The tool uses weather,
road and vehicle related information and generates the routing decision. Thus, real-time
data collection is important. There are many web portals hosting real time continuous
weather data streams. However, their coverage is limited to city level congregate
information and location/area based information is necessary for real time TMS
decision. In addition, there is not a single web site that hosts real-time road and vehicle
information. Internet of Things (IoT) can be a solution for this circumstance. So, an IoT
based framework is proposed and implemented with several remote agents. Agents are
securely (session management) interconnected with a cloud server and able to collect or
exchange TMS data among themselves through GSM/GPRS/Bluetooth communication
channels. Each agent is an embedded device with integrated sensors (including DHT11,
Raindrops Sensor Module), Arduino microcontroller and GSM/GPRS/GPS Bluetooth
enable modules.
Description:
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh