Abstract:
An efficient and effective motor traffic
management is crucial for any Intelligent Transportation
System (ITS) to reduce traffic violations. Scientific evidence
suggests that exceeding the speed limit is the most important
factor that impacts the severity, fatality and other risks
associated with motor vehicle collisions. However, due to the
lack of proper technology used in the transport sector, there
are possibilities for traffic law violators get unnoticed.
Therefore, this study provides a solution based on Internet of
Things with Image Processing technology to process the vehicle
registration number to uniquely identify the vehicles that are
violating traffic laws. The outcome confirms that the
architecture is viable for the low-cost automation of traffic fine
for the speed violation. In addition, it is recommended to use
more robust mechanism to capture the real time speed of any
fast-moving vehicle. In conclusion, the proposed architecture
with slight modification can be deployed for many commercial
test cases such as traffic management, parking, vehicle
counting, data privacy, data security and more.
