Abstract

The paper covers analysis and investigation of lighting automation system in low traffic roads. The main objective is to provide optimal solution between expensive safe design utilizes continuous lighting at night for the complete road, or sacrifice the safety to minimize the cost of energy consumption by relying on using vehicles lighting in low traffic road designed without lighting systems. Each of these two scenarios is extremely significant issue and contradicting to each other from economic point of view. By taking into account both of these factors, smart lighting control system is proposed using Image Recognition Technique. In this proposal, the road is sectionalized into zones. By using motion sensors and Infra-Red cameras distributed and installed in each zone, any moving object can be detected and its image can be captured and analyzed using Image Recognition Technique to check whether the object is a vehicle or not. Matlab code is written and tested using different images to validate the code output. In case a vehicle is detected, the control system of the road lighting illuminates only the zone that the vehicle passes through. Economic analysis is provided in this paper to support the value of using this design of lighting control system. “Saving Norm” of $1,171.19/km/Year is calculated for the proposed system. This “Saving Norm” is a good index to supports project management for both project decision makers and for cash-flow controllers.

Highlights

  • Various road classifications are existed in terms of traffic

  • Even simple lighting system is not installed mostly, and authorities rely on vehicle lights put human life and valuable product transported under the risk

  • Mahmoud and Leyla Muradkhanli Name: Economical and Safe Design for Low-Traffic Long-Roads Illumination Control System by Using Image Recognition Technique indicates that Light Dependent Resistor (LDR) and Passive Infrared Resistor (PIR) sensor are used for same purpose, but without dimming the light, just switched on or off [3]

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Summary

Introduction

Various road classifications are existed in terms of traffic. Principal arterials, minor arterials, rural collectors, local roads and very low-volume roads, and the last is what our concern in this paper. Mahmoud and Leyla Muradkhanli Name: Economical and Safe Design for Low-Traffic Long-Roads Illumination Control System by Using Image Recognition Technique indicates that LDR and PIR sensor are used for same purpose, but without dimming the light, just switched on or off [3]. All systems above have used motion sensors to detect the object movement whatever this object is, and control the lights in terms of switching ON/OFF or dimming. This paper tries to design automation lighting system for long road with low traffic, where no need to switch on the lights for movement of any object except the vehicles. Efficient, safe and cost effective solution to design automated lighting system suitable for long roads with low-traffic is provided.

System Design Description
Lighting Control Conceptual Design
Survey
Methodology
MATLAB Code for Number-plate Recognition
Object Recognition in the Road
Economic Analysis
Indirect Benefits
Findings
Discussion
Conclusion
Full Text
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