Ms. Roopa Ravish - PES University (original) (raw)

Papers by Ms. Roopa Ravish

VANETs based Intrusion Detection System for False Message Identification

Smart Monitoring and Guidance System for Parking Spaces

Transport and Telecommunication, Apr 1, 2021

Recent years have witnessed a colossal increase of vehicles on the roads; unfortunately, the infr... more Recent years have witnessed a colossal increase of vehicles on the roads; unfortunately, the infrastructure of roads and traffic systems has not kept pace with this growth, resulting in inefficient traffic management. Owing to this imbalance, traffic jams on roads, congestions, and pollution have shown a marked increase. The management of growing traffic is a major issue across the world. Intelligent Transportation Systems (ITS) have a great potential in offering solutions to such issues by using novel technologies. In this review, the ITS-based solutions for traffic management and control have been categorized as traffic data collection solutions, traffic management solutions, congestion avoidance solutions, and travel time prediction solutions. The solutions have been presented along with their underlying technologies, advantages, and drawbacks. First, important solutions for collecting traffic-related data and road conditions are discussed. Next, ITS solutions for the effective management of traffic are presented. Third, key strategies based on machine learning and computational intelligence for avoiding congestion are outlined. Fourth, important solutions for accurately predicting travel time are presented. Finally, avenues for future work in these areas are discussed.

Distributional Reinforcement Learning For Automated Driving Vehicle

2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), Oct 16, 2022

Software Implementation of an Automatic Movable Road Barrier

One of the most commonly used solution to control the traffic in most of the cities is the road d... more One of the most commonly used solution to control the traffic in most of the cities is the road divider system. It divides the roads into equal parts/sides, one for incoming traffic and other for outgoing traffic. There may be many such lanes on each side of the road. The idea of equal road division for both sides in all time may cause inconvenience and the concept is practically inefficient. This is because the flow of traffic is not consistent throughout the day. During peak hours the flow of traffic is highly inclined in one direction. Hence, in order to improve and control real-time traffic, it is ideal to have a system of movable road divider. This paper discusses an approach towards implementing automatic road divider system and various customized solutions. Different ways to implement the aforementioned system for highly specialized environments are also discussed in this paper. This is shown through simulation. Our implementation uses methods to recognize the vehicle density on each side of the road and adjust the roadway barrier accordingly. This minimizes the traffic congestion and allows smooth flow of vehicles by providing ample commute area towards the side with a heavier flow of traffic.

Detection of Violent Content in Videos using Audio Visual Features

2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS)

Distributional Reinforcement Learning For Automated Driving Vehicle

2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon)

User preference-based intelligent road route recommendation using SARSA and dynamic programming

Journal of Control and Decision

Analyzing the development of complex social systems of characters in a work of literary fiction

2022 3rd International Conference for Emerging Technology (INCET)

Monitoring and Alert Systems for Underwater Data Centers using Arduino

2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), 2021

Sensor-Based Traffic Control System

Advances in Intelligent Systems and Computing, 2020

An effective road traffic control system ensures continuous movement of traffic and helps in prev... more An effective road traffic control system ensures continuous movement of traffic and helps in preventing crashes or accidents. Better traffic management requires traffic signal control based on vehicle density. One such technique proposed in this paper finds the solution to traffic flow control, depending on the number of vehicles on the lane. It has two separate systems to control the traffic flow. One of the systems first collects the vehicle density (data) on the individual lanes using ultrasonic sensors. Second system uses this data in order to control traffic lights. By sharing this data, using NRF24L01 transceiver module, the system handles the traffic lights. The LEDs in the traffic lights are then appropriately controlled and powered based on the data received. With separate systems, maintenance of the components is simpler and it can also be observed that the lack of physical contact between the systems enables us to modify the implementation in one of them without any requirement of changes in the other. This technique uses an Arduino Uno and an Arduino Mega as the base for the two different systems. This solution is built to be compatible with subsequent improvements and can be extended to an IoT model.

Travel time plays a crucial role in the intelligent transport system in metropolitan ci... more Travel time plays a crucial role in the intelligent transport system in metropolitan cities. Predicting accurate Taxi trip travel time helps commuters to plan their trip better and reach the destination on time. Most of the existing techniques use supervised learning models to estimate the travel time. Performance obtained from the supervised learning models is insufficient. In this paper, we propose a novel approach that aims at predicting travel time by using both supervised and unsupervised techniques with a large historic dataset, and this novel method is compared with supervised techniques. The clustering approach of unsupervised learning along with supervised helps to enhance the performance of a predictive model. Clustering helps in segmenting the nearby location data into a similar group which helps in finding the underlying pattern within the large dataset. Then, a ...

IoT Based Road Travel Time Detection

2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Traffic congestion is not uniform across the metropolitan cities like Bengaluru, in India. Road t... more Traffic congestion is not uniform across the metropolitan cities like Bengaluru, in India. Road travel time becomes unpredictable many a times. In this aspect, several prediction models have been built. All these models require data on a daily basis for training. IoT based model to collect the input data using sensors can be the best choice. The model can be placed on all vehicles easily with minimum or no modification. This paper presents four varieties of approaches to measure the time taken for the journey. The timestamp is calculated based on engine run time. The collected data is stored in a file as well as synchronized to cloud storage. In the case of the problem with internet connectivity, the data written down in the file would serve as a backup. Travel time modelling is constructed using various sensors. This also helps advanced traveller information systems. Inevitably there is need to combine and make the best out of the available. GPS can be used to identify the source, destination, and few cardinal values even in the absence of internet connectivity.

Phobia Therapy Using Virtual Reality

2020 IEEE International Conference for Innovation in Technology (INOCON), 2020

In today's world, many people suffer from various phobias and for these phobias, psychiatrist... more In today's world, many people suffer from various phobias and for these phobias, psychiatrists and therapists recommend Cognitive Behavioural Therapy (CBT). The goal of our project is to develop a virtual environment which can be used in the field of Phobia treatment as a base exposure therapy session. Implementation of this virtual environment not only cuts down cost expenses of conducting actual physical sessions, but also helps the patient to experience a glimpse of the physical exposure, helping the patient to become more comfortable and overcome their fear of particular phobia. The implemented application is installed on an android device. This will guide the patient by exposing to different virtual environment. An X-Box controller allows the patient to have full control of his/her moments and exposure.

Software Implementation of an Automatic Movable Road Barrier

Advances in Intelligent Systems and Computing

The growing technology in the world is rapidly transforming the way people lead their lives. Indu... more The growing technology in the world is rapidly transforming the way people lead their lives. Industrialization and urbanization have brought an enormous increase in sedentary lifestyle to the modern world. Indulged in technology, people are often found abandoning their good posture and being hunched over for really long hours. Good posture is of utmost importance for leading a healthy lifestyle and it is said that back pain is the third most common reason for people to visit the doctor. Yet, knowingly or unknowingly, people compromise on one of the most essential traits of what makes them human; the ability to walk upright. The aim of this paper is to provide a feasible solution to this problem by presenting a wearable device that recognizes the posture of the person and sends live data on the phone through an app. It records the posture and classifies it as Good, Okay or Bad. It also gives the statistics and overall feedback of how it can be improved.

Intelligent Traffic Violation Detection

2021 2nd Global Conference for Advancement in Technology (GCAT)

Transport and Telecommunication Journal

Integrated mode of transport: a predictive model for route guidance

International Journal of Intelligent Unmanned Systems

PurposeThe purpose of this study is to provide real-time route guidance within city to help commu... more PurposeThe purpose of this study is to provide real-time route guidance within city to help commuters.Design/methodology/approachIn urban areas to avoid road congestion and to reach the destination on time, intelligent transport system (ITS) utilizes recent advanced technology. To support this, existing route guidance system (RGS) suggests alternative route to commuters. However, ITS requires a system which suggests the alternative route along with the mode of transport such as public, private, taxi services etc. Integrated mode of transport (IMT) implemented in this paper guides the commuters of urban area with the best mode of transport. Inputs to our IMT predictive model are the commuter's choice of (1) minimum travel time (2) minimum cost (3) flexible route and (4) less traffic intensity along with source and destination locations. Based on these user inputs, IMT predictive model suggests optimal mode of transport. In this paper to implement the IMT model, we have considered...