Hybrid Intelligence Model for Traffic Management in Intelli-gent Transportation System
DOI:
https://doi.org/10.6977/IJoSI.202506_9(3).0003Keywords:
Traffic Management, Intelligent Transportation System, Technologies, Artificial Intelligence, Computational IntelligenceAbstract
A typical traffic environment in Intelligent Transportation System (ITS) involves various infrastructural units that generates a vast amount of sophisticated traffic data. Such form of complex data is quite challenging to analyzed and hence poses a potential issue towards designing an effective and responsive traffic management system. Therefore, this paper develops an analytical modelling approach where the potential of Artificial Intelligence (AI) and Computational Intelligence (CI) has been harnessed. The scheme presents a simplified predictive approach that is meant for mitigating the current issues towards intelligent traffic management. The simulated outcome of study showcase that proposed scheme offers significant advantage in its predictive performance in ITS.
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