A review on routing methods based on computational intelligence

Congestion of vehicles in metropolitan areas has increasingly raised concerns about the negative consequences for human health, the environment and the economy. The movement of public and private vehicles in the city to send goods, urban traffic or public transport, intensifies traffic and result in social anomalies, release of pollutants, increasing the psychological impact and cost of urban living, waste of fossil fuels, and ultimately degrading quality of urban life. In this regard, many researches have addressed this problem amongst, the Computational Intelligence (CI)-based algorithms are in the center of attention. In this paper, we have reviewed the most recent and influential CI-based methods presented for solving the Vehicle Transportation Routing System (VTRS) problem.