Project

International Conference on Computing and Control Engineering (ICCCE 2012), 12 & 13 April, 2012

Automatic Street Light Intensity Control and Road Safety Module Using Embedded System
Radhi Priyasree1; Rafiya Kauser.H2; Vinitha.E3; Gangatharan.N4 Department of ECE, RMK College of Engineering and Technology R.S.M Nagar, Puduvoyal-601206 [e-mail]1; [e-mail]2; [e-mail]3; [e-mail]4 Abstract This paper is aimed at creating safer roadways with intelligent light system to reduce power consumption. This system has automatic street light intensity control based on the vehicular movement and switching ON and OFF of street lights depending on the light ambiance. This will help in reducing the power consumption during hours of meager road usage. The street light module is installed consequently for every certain distance. This paper also aims at reducing road accidents by detecting consumption of alcohol by the driver. This can be implemented using alcohol sensor module which contains skin sensor, breath alcohol sensor and proximity sensor. The skin sensor and breadth alcohol sensor detects the presence of alcohol content and the proximity sensor helps in detecting any kind of malpractice. The novelty of this paper is to effectively reduce the energy consumption of the street lights by controlling the street light’s intensity, sensing both human as well as vehicular movement and injury and death caused by drunk driving can be prevented by prior sensing of the alcohol content in drivers by a simple and economical way. Key words Street light intensity control; PIR sensors; LDR; alcohol detection; alcohol sensors; skin sensors; proximity sensors; reduced power consumption; safer roadways. ________________________________________ I INTRODUCTION Street lighting provides a safe night time environment for all road users including pedestrians. Research indicates that night-time vehicular accidents are significantly reduced by

References: [1]Caponetto, R., Dongola, G., Fortuna, L., Riscica, N. and Zufacchi, D. (2008), “Power consumptionreduction in a remote controlled street lighting system”, International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM 2008), Ischia,une, pp. 428-33. [2] Costa, M.A.D., Costa, G.H., dos Santos, A.S., Schuch, L. and Pinheiro, J.R. (2009), “A high efficiencyautonomous street lighting system based on solar energy and LEDs”, Brazilian PowerElectronics Conference (COBEP 2009), Bonito, 27 September-1 October, pp. 265-73. [3] Paul R. Marques and A. Scott McKnight “Evaluating Transdermal Alcohol Measuring Devices” DTNH22-02-D95121, Pacific Institute for Research and Evaluation 11720 Beltsville Drive, Suite 900, Calverton, MD 20705 [4]Farmer C. M. 2005. Relationships of Frontal Offset Crash Test Results to Real-World Driver Fatality Rates. Traffic Injury Prevention, 6, 31-37. [5] R. Swift, C. Martin, L. Swette, A. LaConti and N. Kackley, “Studies on a Wearable, Electronic, Transdermal Alcohol Sensor,” 16 Alcohol. Clin. Exp. Res. 721 (July/Aug. 1992) [6]http://www.estreetlight.com/Documents/Homepage/Estreet% 20Project%20Report%2005_157.pdf [7] John K. Pollard, Eric D. Nadler, Mary D. Stearns,” Review of Technology to Prevent Alcohol-Impaired Crashes (TOPIC)“, OMB No.0704-0188,U.S.Department of Transportation Research and Innovative Technology Administration Cambridge, MA02142. Figure 3 Sequence of operation of the proposed paper IV RESULTS AND DISCUSSIONS The main objective of this paper was to reduce the power consumption of street lights by avoiding inefficient lighting which wastes significant financial resources each year. This is done by dimming the lights during less traffic hours. For this purpose PIR sensor which detects any movement. This paper also aims at reducing the fatal crashes and road accidents caused due to alcohol consumption. This is done using skin sensors placed in vehicle doors and also using breadth sensors inside the vehicle. By implementing this death rates due to drunk driving can be reduced to a great extent. The prototype has been implemented and works as expected and will prove to ISBN 978-1-4675-2248-9 © 2012 Published by Coimbatore Institute of Information Technology