Retracted: Speed Optimization in an Unplanned Lane Traffic Using Swarm Intelligence and Population Knowledge Base Oriented Performance Analysis

  • Prasun Ghosal
  • Arijit Chakraborty
  • Sabyasachee Banerjee
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 166)

Abstract

Comparative Analysis of Speed Optimization Technique in Unplanned Traffic 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. This paper presents a novel technique to solve the problem optimally using the knowledge base analysis of speeds of vehicles, using partial modification of Swarm Intelligence which, in turn will act as a guide for design of lanes optimally to provide better optimized traffic with less number of transitions between lanes.

Keywords

Current Speed Swarm Intelligence Speed Optimization Population Information Urban Freeway 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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    Ghosal, P., Chakraborty, A., Banerjee, S.: Design of Efficient Knowledge Based Speed Optimization Algorithm in Unplanned Traffic. IUP Journal of Computer Sciences (in press)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Prasun Ghosal
    • 1
  • Arijit Chakraborty
    • 2
  • Sabyasachee Banerjee
    • 2
  1. 1.Department of Information TechnologyBengal Engineering and Science UniversityHowrahIndia
  2. 2.Department of Computer Science and EngineeringHeritage Institute of TechnologyKolkataIndia

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