@inproceedings{f58d02252e794b869cb17164b070c5fd,
title = "Traffic Signal Coordination using Termite Spatial Correlation Optimization for Oversaturated Signals",
abstract = "This article proposes a novel method for solving traffic signal coordination problem under over-saturated conditions. This problem is a large combinatorial optimization problem formulated as a dynamic optimization problem. The algorithm derives optimal green times for a network consisting of 20 interconnected signals using termite spatial correlation optimization (TSCO) algorithm. The algorithm tries to do so by incorporating proper queue dissipation along with maximizing number of vehicles precessed by the network in the congestion period. The resulted green times and fitness values have been compared with those derived using Genetic Algorithm (GA) and Ant Colony Optimization (ACO). TSCO is shown to outperform GA and ACO in terms of fitness value as well as overall function evaluations.",
keywords = "Ant Colony Optimization, Genetic Algorithm, Signal Coordination, Termite Spatial Correlation Algorithm",
author = "Vishu Gupta and Avinash Sharma and {Reddy K}, Srikanth and Rajesh Kumar and Bk Panigrahi",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2017 ; Conference date: 18-12-2017 Through 19-12-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/WIECON-ECE.2017.8468911",
language = "English",
series = "WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "153--156",
booktitle = "WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017",
address = "United States",
}