Informatics Publishing Limited

V. Parthasarathi ¹, M. Surya ¹, B. Akshay ¹, K. Murali Siva ¹, Shriram K. Vasudevan ²

Affiliations
1 Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham (University), Coimbatore - 641112, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham (University), Coimbatore, IN

Abstract

Background/Objectives: This paper focus on the necessity of intelligent traffic system and the peculiar way of implementation with embedded system tools. Here it is implemented using an object counting methods and detection of emergency vehicles simultaneously thereby control the traffic signals based on the priority outcome. Methods/Statistical analysis: Presently various system do provide a cost effective solution, but the rate of successful operation is bad. Inductive loop detectors installed under surface, this fails in case of poor road condition and so. In the other system, the density is found by installing IR detectors along the side of the lane. These systems operate less efficiently where they are not applicable in the real time process. This method uses image acquisition method using a real time live video stream and the algorithm is processed using MATLAB. Results/Findings: The results obtained with the prototype are much encouraging and the system does help the present traffic control system to be more efficient. Conclusion/Application: Computer Vision being one of the most researched are for the future technologies, this system will add gain to this sector with efficient operation replacing the current primitive timer traffic control system. This helps the emergency casualties to be attended quickly without panic of traffic congestion.

Keywords

Accident Avoidance, Intelligent System, MATLAB, Priority Outcome, Signal, Smart Traffic Control

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K. Murali Siva ¹, V. Parthasarathi ¹, B. Akshay ¹, M. Surya ¹, Shriram K. Vasudevan ²

Affiliations
1 Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore - 641112, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore - 641112, Tamil Nadu, IN

Abstract

Background/Objectives: To ensure pedestrian safety in highways predominantly at night. Application: By introducing piezoelectric sensors embedded on highways, which automates the notification lamps that help both pedestrian and drivers to know each other’s presence. Methods/Statistical Analysis: The basic method we implement is getting the feed of digital HIGH and digital LOW from the piezoelectric crystals. The state of the pedestrian cross decides the output signal of the notification lamp. This helps the fast drivers on the highway to adjust their acceleration with prior alert of movement on the road. The prototype result with few minutes delay of glowing, the notification lamp can be set in real time with little more depending on the length of the cross. Findings: The night time travelers on the highway have the difficulty of vision due to optical problems of the front vehicle glass. The irritation due to high beam of the opposite vehicles distract the proper vision of the road. The pedestrians from local area are becoming a casualty of this situation. And the speed at which the drivers come is not possible to reduce in small period of time. Prior alert is required for this.

Keywords

LED Lamp, MSP430, Piezoelectric Transducer, Vibration Analysis

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