  Bio-Inspired Algorithms on Road Traffic Congestion and safety is a very
promising research problem. Searching for an efficient optimization method to
increase the degree of speed optimization and thereby increasing the traffic
Flow in an unplanned zone is a widely concerning issue. However, there has been
a limited research effort on the optimization of the lane usage with speed
optimization. The main objective of this article is to find avenues or
techniques in a novel way to solve the problem optimally using the knowledge
from analysis of speeds of vehicles, which, in turn will act as a guide for
design of lanes optimally to provide better optimized traffic. The accident
factors adjust the base model estimates for individual geometric design element
dimensions and for traffic control features. The application of these
algorithms in partially modified form in accordance of this novel Speed
Optimization Technique in an Unplanned Traffic analysis technique is applied to
the proposed design and speed optimization plan. The experimental results based
on real life data are quite encouraging.
