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Top1. Introduction
Basic characteristics of designing an improved traffic control system includes connecting traffic signals and traffic control centres with GIS enabled digital road map of the town using intelligent computational power of data analytics (Singh, Vishnu & Mohan, 2016) as a key module. In this context, the basic challenge lies in usage of real time analytics on online traffic information and correctly applying it to some basic traffic flow (Yuan et al., 2015; Lv et al., 2016). Data analytics tools (Puiu et al., 2016; Fotopoulou et al., 2016) takes data from the Traffic Management System (Singh et al., 2016) and using GIS mapping under real time support they provide useful information to the drivers in the vehicles and help reducing the traffic congestion. Additionally, basic tourist information such as visiting places, parking area and distance are also projected in real time basis on large digital screens installed at city centres (Kumar, Vasilakos, & Rodrigues, 2017) entrance points to guide the drivers towards their destination. This helps to save fuel and finally to save a lot of time spent in searching various visiting places (Ianuale, Schiavon, & Capobianco, 2016). The smart living style in metro cities (Kumar, et al., 2017) is also fulfilled as the environment becomes pollution free and more hygienic (Alshawish, Alfagih, & Musbah, 2016).
Soft computing techniques are tolerant of imprecision, uncertainty, approximation and partial truth. As the human mind can assess the probability of some event in chances, similarly soft computing methodologies also use some intelligent based techniques to assess real time problem with analytical models (Shamshirband et al., 2015). Basic components of soft computing includes Machine Learning, probabilistic reasoning, Swarm Intelligence such as Ant Colony Optimization & PSO (Particle Swarm Optimization), ANN (Artificial Neural Network, Fuzzy Logic and Evolutionary Computing (Huang, 2016). Swarm Intelligence is one of the constituent of Artificial Intelligence (Huang, 2016). In the proposed approach an Intelligent Swarm Smart Controller (ISSC) module embedded in nano robot has been designed to function during decision making in a smart traffic control system to divert vehicles in other direction at some stage of heavy traffic jam at traffic points. Depending on the traffic density a congestion level is set by the proposed algorithm and accordingly vehicles are re-directed towards less congested routes of other neighbor traffic points.