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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Ginga Madhu ¹, Pardeep Mittal ¹

Affiliations
1 Department of Electronics and Electrical Engineering, Lovely Professional University Jalandhar, Phagwara – 144411, Punjab, IN

Abstract

Background: Poor power quality is serious problem in power system. The introduction of harmonics in power system makes its quality poor. This paper describes the analytical study of different topologies of Multi Level Inverter, switching techniques used for MLI, different Active Power Filters and their control strategies for compensating the harmonics. Method: Multi Level Inverter based shunt Active Power Filter has been used to reduce the amount of harmonics which enhances the power quality in distributed power system. Findings: Conventional inverters produce more harmonics in power system which can be reduced with the use of active power filters. Multi Level Inverter (MLI) in conjunction with Pulse Width Modulation reduces the harmonic contents and achieves sinusoidal signals without add-on circuitry. The output voltage provided by MLIs has small voltage steps, which results in good power quality and low harmonic components. The system is simulated using MATLAB/SIMULINK platform. Improvements: Line current distortion caused by the nonlinear loads and power electronic devices can be efficiently neutralized by shunt Active Power Filter both in transient and distortion voltage conditions.

Keywords

Active Power Filter, Multi Level Inverter, Power Quality, Pulse Width Modulation (PWM).

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Pardeep Mittal , Tarandeep Singh

Abstract

Today ERP (Enterprise Resource Planning) is adopted by Universities & very high level institutions but many medium level Institutes are enable to decide upon proper implementation of ERP. ERP system, which evolved them from Manufacturing Resource Planning have many advantages, but some failures stories also. This paper reviews the factors effecting the ERP implementation in Engineering institutes. It also includes a survey questionnaire which takes all the factors in to count and before starting actual survey a pilot study for this questionnaire was done, which confirms its acceptance.

Keywords

Manpower, Package, Infrastructure, Work Culture, Security, Feedback.

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