A Real-time, Event Based Driver Alert System for Accident Avoidance Due to Red Light Running
نویسندگان
چکیده
To my family for their immense love and support And Varun for believing in me ACKNOWLEDGEMENTS I would first of all like to thank Prof. Aniruddha Gokhale for showing faith in my abilities throughout my stay at Vanderbilt. His research thought process and teaching skills always influenced me. I would also like to thank Dr. Jules White for his useful comments and support for my thesis. encouragement during the course of working as a TA. I also thank Vanderbilt School of Engineering for supporting me through the course of my Masters education. I would like to thank my beloved Aaji, Shruti, Tai, Harshal, Baba and Aai for their love, support and encouragement and Varun for always being there. I also thank Jui for her constant support and Aparna for giving me strength. and Satabdi for their wonderful company and friendship. Last but not least I am very grateful for having my wonderful parents Aai and Dada who have always shown me the right path and have always encouraged me to do the right thing. Their struggle in life is awe inspiring and motivating for me to keep going on.
منابع مشابه
Real-Time intrusion detection alert correlation and attack scenario extraction based on the prerequisite consequence approach
Alert correlation systems attempt to discover the relations among alerts produced by one or more intrusion detection systems to determine the attack scenarios and their main motivations. In this paper a new IDS alert correlation method is proposed that can be used to detect attack scenarios in real-time. The proposed method is based on a causal approach due to the strength of causal methods in ...
متن کاملRoad Departure Avoidance System Based on the Driver Decision Estimator
In this paper a robust road departure avoidance system based on a closed-loop driver decision estimator (DDE) is presented. The main idea is that of incorporating the driver intent in the control of the vehicle. The driver decision estimator computes the vehicle look ahead lateral position based on the driver input and uses this position to establish the risk of road departure. To induce a risk...
متن کاملIntelligent Control System Design for Car Following Maneuver Based on the Driver’s Instantaneous Behavior
Due to the increasing demand for traveling in public transportation systems and increasing traffic of vehicles, nowadays vehicles are getting to be intelligent to increase safety, reduce the probability of accident and also financial costs. Therefore, today, most vehicles are equipped with multiple safety control and vehicle navigation systems. In the process of developing such systems, simulat...
متن کاملOn Development of Intellidrive-based Red Light Running Collision Avoidance System
Intellidrive offers great potential for various new safety and mobility applications. This paper reports on an Intellidrive application for signalized intersection safety, where signals can dynamically adapt to hazardous conditions in order to avoid Red-Light-Running (RLR) related collision. As an important portion of the intersection collision avoidance system, a model for the RLR prediction b...
متن کاملA Red-Light Running Prevention System Based on Artificial Neural Network and Vehicle Trajectory Data
The high frequency of red-light running and complex driving behaviors at the yellow onset at intersections cannot be explained solely by the dilemma zone and vehicle kinematics. In this paper, the author presented a red-light running prevention system which was based on artificial neural networks (ANNs) to approximate the complex driver behaviors during yellow and all-red clearance and serve as...
متن کامل