Since the appearance of smart city concept, there were plenty of researches carried out suggesting, while relying on this digital ground either the integration or the optimization of the intelligent transport systems (ITS) in business., On the other side, there were very few researches studying how ITS can still work outside of the context of smart city. In fact, though this is an era of digitalization and artificial intelligence, the establishment of an entire smart city platform still requires high costs, especially in poor and developing countries where technological developments are still almost absent. Taking this issue into consideration, this study was carried out to suggest a new approach allowing shipping companies to keep working with their ITS even outside of the context of Smart city. This is possible through implementing a transport information system that is based on Genetic algorithm, Big Data, and multi agent architecture. The information system will provide and exchange data about the optimum path to follow with vehicles (travelling vehicle problem) on the road. Theoretically speaking, this proposed system accelerates the processing time and enhances the quality of the obtained result with the Genetic algorithm to solve Salesman problem
Volume 12 | 07-Special Issue
Pages: 1405-1415
DOI: 10.5373/JARDCS/V12SP7/20202243