Smart control of traffic light system using image processing / Mutmainnah Radhiah Mohamad Jeffery ... [et al.]

Mohamad Jeffery, Mutmainnah Radhiah and Meng, Belinda Chong Chiew and Damanhuri, Nor Salwa and Othman, Nor Azlan and Awang Damit, Dayang Suhaida (2020) Smart control of traffic light system using image processing / Mutmainnah Radhiah Mohamad Jeffery ... [et al.]. In: UNSPECIFIED.

Abstract

Traffic congestion at junctions has become a serious issue among motorists due to the growing number of registered vehicles in Malaysia. Traffic light is commonly used to control the flow at road junction. Pretime and count down timers are widely used in traffic light control system. Often, this control system unable to handle heavy traffic flows due to fixed-time setting and cause traffic jam. Therefore, there is a need of adaptive traffic signals which are able to perform real time monitoring of traffic density. This study proposed a system that uses image processing in controlling the traffic flow in an effective manner by taking images of each lane at a junction. The system applies image processing technic determine the priorities of green signal based on real time traffic density. Edge detection is used to detect the density of traffic at each lane. More time is allocated for the vehicles on the densest road to pass compared to other less dense road. Arduino is used as a microcontroller to control the changes of each signal of the traffic lights based on the traffic density. Smart traffic light system could bring benefits to smooth motion of vehicles in the transportation routes.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Mohamad Jeffery, Mutmainnah Radhiah
mt973004@yahoo.com
Meng, Belinda Chong Chiew
UNSPECIFIED
Damanhuri, Nor Salwa
UNSPECIFIED
Othman, Nor Azlan
UNSPECIFIED
Awang Damit, Dayang Suhaida
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Real-time programming
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software > Configuration management
T Technology > T Technology (General) > Technological change > Technological innovations
Divisions: Universiti Teknologi MARA, Perak
Journal or Publication Title: The 9th International Innovation, Invention and Design Competition 2020
Page Range: pp. 411-413
Keywords: edge detection; image processing; traffic congestion; traffic light
Date: 2020
URI: https://ir.uitm.edu.my/id/eprint/71223
Edit Item
Edit Item

Download

[thumbnail of 71223.pdf] Text
71223.pdf

Download (620kB)

ID Number

71223

Indexing

Statistic

Statistic details