Adaptive Traffic Controller Based On Pre-Timed System
Abstract: Adaptive traffic
controller systems based on image processing have been developed widely.
Nevertheless, in a developing country, the systems often could not be easily
applied because all types of vehicle use the same road. Therefore, to overcome
the problem, the new concept of the systems is proposed. The systems were
developed from a pre-timed traffic controller system that based on AVR
microcontroller. By default, the systems use the signal-timing plans to control
the vehicle flow. To accommodate the traffic variations, a new method of
vehicle detection has been built. The method calculated an intensity histogram
standard deviation of the image representing a detection area to determine
traffic density of each intersection lane. The systems modified the green-time
of each lane based on the traffic density. The method could detect all types of
vehicles and work properly in a day and a night time.
Keywords: determine traffic
density; standard deviation; intensity histogram; signal-timing plan; AVR
microcontroller
Author: Freddy Kurniawan,
Haruno Sajati, Okto Dinaryanto
Journal Code: jptkomputergg160232
