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.

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