Special Issue

Now-a-days traffic congestion has become the biggest problem in the developing cities. This could become even worse in future, if the conventional method of traffic system is followed. So, our project focuses on a smart traffic control system. The proposed system is more efficient than the conventional system in respect of less waiting time, preventing accidents due to over speed and efficient operation during emergency mode. The proposed system makes use of sensor network and microcontroller Arduino UNO. The Arduino Uno is a microcontroller board based on the ATmega328. Portable Inductive Proximity sensors are used. There is no need to embed these sensors in the road. Instead these devices can be placed next to the roadway and measure traffic in the immediately adjacent lane. Using this sensor system, traffic signal are opened and closed depending upon the vehicle density in each lane. Vehicle counting, classification into heavy and light vehicles and detection of over speed vehicles can all be performed using this sensor system. A LCD display is used to display vehicle count. After over speed detection, an alert message can be sent to the nearby police station using GSM SIM900.All the emergency vehicles are equipped with RFID tag. We use RFID reader, NSK EDK-125–TTL and Arduino Uno to read the RFID tags attached to the emergency vehicle. So this enables the emergency vehicle to reach hospital on time without delay. A voice output is provided in the traffic signal which keeps intimating about the last few seconds left for the traffic light to turn green. This will help the impaired people in road crossing.

The purpose of the study was to find out the influence of plyometric training on selected power related fitness variables. To achieve this purpose of the study, thirty men students studying in the department of physical education and sports sciences, Annamalai University, Annamalai Nagar, Tamil Nadu, India were selected as subjects at random. The selected subjects were divided into two equal groups of fifteen subjects each such as plyometric training group and control group. The experimental group underwent plyometric training for three days per week for twelve weeks. The control group did not participate any special training programmes. Power variables such as explosive power in terms of vertical, explosive power in terms of horizontal, elastic power and anaerobic power have been selected as criterion variables. All the subjects of both groups were tested on selected criterion variables at prior to and immediately after the training programme. The analysis of covariance was used to analyze the data of the plyometric training group and the control group between the pre-test and post-test scores. The level of significance to test the ‘F’ ratio obtained by the analysis of covariance was fixed at 0.05 level of confidence which was considered to be an appropriate. The results of the study showed that there was a significant difference between plyometric training group and control group on selected criterion variables such as explosive power in terms of vertical, explosive power in terms of horizontal, elastic power and anaerobic power.