Swarm intelligence & traffic Safety
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21-09-2008, 11:42 AM


An automotive controller that complements the driving experience must work to avoid collisions, enforce a smooth trajectory, and deliver the vehicle to the intended destination as quickly as possible. Unfortunately, satisfying
these requirements with traditional methods proves intractable at best and forces us to consider biologically -inspired techniques like Swarm Intelligence.

A controller is currently being designed in a robot simulation program with the goal of implementing the system in real hardware to investigate these biologically-inspired techniques and to validate the results. In this paper I present an idea that can be implemented in traffic safety by the application of Robotics & Computer Vision through Swarm Intelligence.

We stand today at the culmination of the industrial revolution. For the last four centuries, rapid advances in science have fueled industrial society. In the twentieth century, industrialization found perhaps its greatest expression
in Henry Ford's assembly line. Mass production affects almost every facet of modern life. Our food is mass produced in meat plants, commercial bakeries, and canaries.

Our clothing is shipped by the ton from factories in China and Taiwan. Certainly all the amenities of our lives - our stereos, TVs, and microwave ovens - roll off assembly lines by the truck load. Today, we're presented with another solution, that hopefully will fare better than its predecessors. It goes by the name of post-industrialism, and is commonly associated with our computer technology with Robots and Artificial Intelligence.

Robots are today where computers were 25 years ago. They're huge, hulking machines that sit on factory floors, consume massive resources and can only be afforded by large corporations and governments. Then came the PC revolution of the 1980s, when computers came out of the basements and landed on the desktops. So we're on the verge of a "PR" revolution today - a Personal Robotics revolution, which will bring the robots off the factory floor and put them in our homes, on our desktops and inside our vehicles.
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09-10-2010, 03:41 PM

.pdf   Swarm Intelligence1.pdf (Size: 26.77 KB / Downloads: 356)
Swarm Intelligence

Winter 2004
Lab 03/04 Lecture Supplement

Swarm Intelligence
• New field of study (<10 years old)
• Study of models based on natural models
(usually of social insects)
• Part of Self-Organization that studies
emergent phenomena in systems of
interacting agents

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18-10-2010, 05:11 PM


1Student, Department of Electronics and Computer, IIT Roorkee, Uttarakhand, India-247667
2Assoc. Prof., Department of Electronics and Computer, IIT Roorkee, Uttarakhand, India-247667

Sensitivity and Robustness is the primary issue while designing the controller for non-linear systems. One
of the performance objectives for controller design is to keep the error between the controlled output and
the set-point as small as possible. A comparison between Evolutionary Algorithms namely GAs (Genetic
Algorithms), and Swarm Intelligence i.e. PSO (Particle Swarm Optimization) and BG (Bacterial Foraging)
has been carried out on the basis of performance indices: ITAE (Integral Time Absolute Error), ISE
(Integral Square Error), IAE (Integral Absolute Error) and MSE (Mean Square Error) and settling time. In
this paper, the idea of model generation and optimization is explored for PD-PI controller. Most commonly
known, the highly nonlinear Inverted Pendulum system is used as a test system for this approach. The
simulations are tabulated in section IV to analyze which technique gives promising results for the system.

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23-01-2012, 10:20 AM

to get information about the topic SWARM INTELLIGENCE AND TRAFFIC SAFETY full report,ppt, related topic refer the link bellow





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