Informatics Publishing Limited

Pardeep Mittal ¹, Yashpal Singh ², Yogesh Sharma ³

Affiliations
1 Department of ECE, JNU, Jodhpur and Faculty of EEE Department, Lovely Profesional University Jalandhar, Phagwara - 144411, Punjab, IN
2 Somany Institute of Technology and Management, Rewari - 123401, Haryana, IN
3 Jodhpur National University, Jodhpur - 342003, Rajasthan, IN

Abstract

Background: Traffic management is an important tool of Intelligent Transportation System. The design of system for controlling the urban traffic dynamically provides not only the safety for pedestrians and motorists, but also saves the time and money. Method: In this paper, we describe a novel approach to manage the traffic light after measuring the accurate density with image mosaicking technique. Findings: This approach of measuring traffic density eliminates the use of conventional sensors which are sensitive to environmental changes. Even a single camera is not capable of measuring density accurately as gap between vehicles is important consideration. A single camera projection cannot capture the entire area between vehicles. So in this approach multiple cameras have been used to improve the accuracy of traffic measurement. The image mosaicking algorithm has been applied to measure one of the macro traffic flow parameter such as traffic density. The efficacy of proposed method has been evaluated, using MATLAB, AimSun and LabVIEW Software. Improvements: The result of extensive simulation indicates that this approach provides better performance in terms of increase the average moving time and decreases the average waiting time for traffic.

Keywords

Image Mosaicking, Macroscopic Traffic Model, Pixel to Pixel Correlation, Traffic Lights, Vision Sensors

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Pardeep Mittal ¹, Yashpal Singh ²

Affiliations
1 Department of ECE, JNU, Jodhpur and EEE Department, Lovely Professional University Jalandhar, Phagwara – 144411, Punjab, IN
2 Somany Institute of Technology and Management, Rewari – 123401, Haryana, IN

Abstract

Background: Real time traffic control is an important tool of Intelligent Transportation System (ITS). The development of system for controlling the urban traffic dynamically provides not only the safety for traffic, but also saves the time, money and provides polluted free environment. This paper describes the development of dynamic and robust traffic management system based on fuzzy logic approach. Method: Knowledge based system have been extensively adopted as approach for real time decision making system. Findings: As the conventional dynamic controllers were used sensors which are having certain limitations, so these limitations can be overcome by vision sensors i.e. camera. Also image and vision computing plays an important role in monitoring and measuring the traffic density on road. Problems were identified with the current traffic control system at the intersection on road and this necessitated the design and implementation of a new system to solve the congestion problems. Improvements: The performance of the proposed framework is evaluated with LabVIEW and MATLAB test bed. The results of extensive simulations using the proposed approach indicate that the system improves the average moving time and decrease the average waiting time than the controllers with conventional sensors.

Keywords

Controller, Fuzzy Logic, Traffic Density Measurement, Traffic Lights, Vision Computing

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Sudeept Singh Yadav ¹, Yashpal Singh ¹, S. K. Sriwas ²

Affiliations
1 Department of Computer Science and Engineering, BIET, Jhansi – 284128, Uttar Pradesh, IN
2 Department of Electronics and Communication, BIET, Jhansi – 284128, Uttar Pradesh, IN

Abstract

Objectives: To enhance the performance of decomposition encryption methods, a modified image encryption technique is utilized in (n, k, p) Gray coding exhibit the application of (n, k, p) Gray coding in the encryption of images. Methods/ Statistical Analysis: We proposed a revised algorithm based on image encryption that improves the level of security for available (n, k, p) based bit plane decomposition encryption technique. The proposed hybrid methods starts with bit-plane decomposition of (n, k, p) Gray coding then shuffling each bit plane using random scrambling finally pixel substitution based on X-OR Operation. Findings: The experimental results and comparison demonstrates that proposed encryption algorithm have best performance in image encryption. Applications/Improvements: This algorithm could be utilized for securing protection in biological traits, imaging systems in medical field and digital video surveillance system. Our next plan will additionally enhance and examine the execution of (n, k, p)-Gray coding for data hiding and picture de-noising.

Keywords

Bit-Plane Decomposition, Image Encryption, (n, k, p)-Gray Code, Pixel Permutation, X-OR.

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