Refine your search
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Anil Kumar, B.
- Bus Travel Time Prediction under High Variability Conditions
Abstract Views :258 |
PDF Views:85
Authors
Affiliations
1 Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, IN
1 Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, IN
Source
Current Science, Vol 111, No 4 (2016), Pagination: 700-711Abstract
Bus travel times are prone to high variability, especially in countries that lack lane discipline and have heterogeneous vehicle profiles. This leads to negative impacts such as bus bunching, increase in passenger waiting time and cost of operation. One way to minimize these issues is to accurately predict bus travel times. To address this, the present study used a model-based approach by incorporating mean and variance in the formulation of the model. However, the accuracy of prediction did not improve significantly and hence a machine learning-based approach was considered. Support vector machines were used and prediction was done using v-support vector regression with linear kernel function. The proposed scheme was implemented in Chennai using data collected from public transport buses fitted with global positioning system. The performance of the proposed method was analysed along the route, across subsections and at bus stops. Results show a clear improvement in performance under high variance conditions.Keywords
Bus Travel Time, High Variance Conditions, Prediction Accuracy, Support Vector Machines.- Accelerometer Based Direction Controlled Wheelchair Using Gesture Technology
Abstract Views :127 |
PDF Views:0
Authors
Affiliations
1 Lingaya's University, Faridabad, IN
2 Lingaya's GVKS Institute of Mgt and Technology, Faridabad, IN
1 Lingaya's University, Faridabad, IN
2 Lingaya's GVKS Institute of Mgt and Technology, Faridabad, IN
Source
International Journal of Scientific Engineering and Technology, Vol 3, No 8 (2014), Pagination: 1065-1070Abstract
This paper presents a model for Gesture controlled user interface (GCUI), and identifies trends in technology, application and usability. We present an integrated approach to real time detection, gesture based data glove technique which controls the wheelchair using hand movements. The paper proposed a low-cost and small 3-axis wireless accelerometers based system to control the wheelchair using microcontroller. The system is divided into two main components:Gesture recognition module with Micro-electromechanical systems (MEMS) sensor and wheelchair control. In the gesture recognition module the heart of the system is microcontroller. The MEMS sensor which is connected to hand, is an 3-axis accelerometer with digital output (I2C) that senses the angle of the hand, i.e. according to the tilt of hand it gives voltages to microcontroller. The wheelchair control unit is controlled using PC89C52 controller. The four proposed movements that achieved:are stop, backward, forward, left and right. Finally, the results of some tests performed with the controlled system are presented and discussed. Experimental results show that the system can recognize input gestures quickly with a reliable recognition rate. The users are able to perform most of the typical interaction tasks in virtual environment by this accelerometer-based device.Keywords
Hand Gesture Recognition, GCUI, Posture, MEMS Sensor, Microcontroller, GRS, Human Robot Interface.- City-Level Route Planning with Time-Dependent Networks
Abstract Views :233 |
PDF Views:70
Authors
Affiliations
1 Department of Civil and Environmental Engineering, IIT Patna, Bihta 801 103, IN
2 Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, IN
1 Department of Civil and Environmental Engineering, IIT Patna, Bihta 801 103, IN
2 Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, IN