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Research Article | Open Access |

A New Genetic Algorithm Based Lane-By-Pass Approach for Smooth Traffic Flow on Road Networks

Author 1: Shailendra Tahilyani, Author 2: Manuj Darbari Author 3: Praveen Kumar Shukla
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 1, No. 3 · Published 2012 · Cited by 6

DOI: https://doi.org/10.14569/IJARAI.2012.010306

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Abstract

Traffic congestion in urban areas is a very critical problem and increasing day-by-day due to increment in number of vehicles and un-expandable traffic infrastructure. Several intelligent control systems have been developed to deal with this issue. In this paper, a new lane bypass algorithm has been developed for route diversion resulting in smooth traffic flow on the urban road networks. Genetic algorithms are utilized for the parameter optimization in this approach. Finally, the results of the proposed approach are found satisfactory.

Keywords

Genetic Algorithms Fuzzy Logic Neural Network Activity Theory.

How to Cite this Article

Tahilyani,, S., Darbari, M., & Shukla, P. K. (2012). A New Genetic Algorithm Based Lane-By-Pass Approach for Smooth Traffic Flow on Road Networks. International Journal of Advanced Research in Artificial Intelligence, 1(3). https://doi.org/10.14569/IJARAI.2012.010306

Tahilyani,, Shailendra, et al.. "A New Genetic Algorithm Based Lane-By-Pass Approach for Smooth Traffic Flow on Road Networks." International Journal of Advanced Research in Artificial Intelligence, vol. 1, no. 3, 2012, https://doi.org/10.14569/IJARAI.2012.010306.

@article{Tahilyani,2012,
  title     = {A New Genetic Algorithm Based Lane-By-Pass Approach for Smooth Traffic Flow on Road Networks},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {1},
  number    = {3},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Shailendra Tahilyani, and Manuj Darbari and Praveen Kumar Shukla},
  doi       = {10.14569/IJARAI.2012.010306},
  url       = {https://doi.org/10.14569/IJARAI.2012.010306}
}

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