Towards ACO Based Traffic Control System For Smart Cities
Farheen Siddiqui1, Tabeen Afzal2, Sameena Naaz3
1Farheen Siddiqui, Assistant Professor, Department of Computer Science, Jamia Hamdard, (New Delhi), India
2Tabeen Afzal, Department of Computer Science, Jamia Hamdard, (New Delhi), India
3Sameena Naaz, Assistant Professor, Department of Computer Science, Jamia Hamdard, (New Delhi), India
Manuscript received on 28 April 2019 | Revised Manuscript received on 10 May 2019 | Manuscript Published on 17 May 2019 | PP: 580-586 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F11230476S419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The various advents in the field of computer science and the need of technology urge the humans to find solutions to various challenges. One amongst them is solving the combinatorial optimization problems under the domain of problem solving approach. In order to meet the requirements of such stochastic problems, we need an alternative which is both optimal as well as near to being efficient. This paper gives an insight to what an ACO is, how it originated, and how ACO helps in stimulating the production of feasible solutions for day-to-day problems. The need of ACO in the trending smart city approach is analysed and discussed. A glimpse of recent research contribution towards using ACO in Traffic control justifies the selection of ACO over other algorithms. The paper concludes what methodology to incorporate to overcome the shortcomings of ACO and further its operability and utility in the development of a smart city network.
Keywords: Combinatorial Optimization, Meta-heuristics, Ant Colony Optimization.
Scope of the Article: Smart Cities