DocumentCode :
736252
Title :
Intelligent traffic with connected vehicles: intelligent and connected traffic systems
Author :
Balabhadruni, Sai Kumar
Author_Institution :
Dept. of Electronic and Communication Engineering, Chilkur Balaji Institute of Technology (CBTV), Affiliated To JNTU, Hyderabad, India
fYear :
2015
fDate :
24-25 Jan. 2015
Firstpage :
1
Lastpage :
6
Abstract :
This paper describes the structured approach involved in the development of an Intelligent Autonomous (self-driving, unmanned, driverless or robotic) Vehicles. In which autopilot with artificial intelligence are critical subsystems whose development requires multidisciplinary approach along with concurrent engineering to create a better, safer and reliable future. We have studied and implemented a miniature scale model with outcome of satisfactory results of supporting realistic vehicular mobility simulation using concepts of swarm technology discussed in this paper. Our Model must be equipped with a variety of instrumentation and controls depending upon the mission of the target vehicle. Mechatronics, Systems Engineering (SE), Control Systems (CS), Swarm Technology, Artificial Intelligence, Image Processing Cloud Computing, Virtualization with caching, Fuzzy Logic and Neural Networks has a potential scope of design for the prototype needed to be developed that will navigate to a desired location with obstacle avoidance. In this design of autonomous vehicles have access to information about their surroundings gathered from its several sensors such as Radar, GPS including a very important component of this system Infrastructure Unit which is connected virtually with Vehicle´s Operating System, mapping and direction system is discussed broadly. Here, Infrastructure Unit plays a major role in routing the traffic to maintain free flow and accident avoidance, by provides information such as Routes, Traffic, Time, Directions to Vehicles and maintain constant speed for all vehicles to achieve an efficient autonomous transportation reducing accidents to zero. To improve the response time and storage of V2I Communication a new approach of caching and virtualization are encapsulated with a better and faster hardware such as Solid State Technology. This study has various applications in Space Science, Oceanography, and Automation in Traffic control which can effortlessly mee- the necessity, scalability of future Generation.
Keywords :
Accidents; Adaptation models; Artificial intelligence; Computational modeling; Sensors; Vehicle crash testing; Vehicles; 3D Imaging; AI; Automation; Cache; Cloud; Flashcache; OSI Model; Robotics; Smart Cars; Solid State; Swarm Technology; VLC; Vehicular Communications; Virtualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location :
Visakhapatnam, India
Print_ISBN :
978-1-4799-7676-8
Type :
conf
DOI :
10.1109/EESCO.2015.7253926
Filename :
7253926
Link To Document :
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