New journal publication: Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead

Members of the JRL Javier Del Ser and Eneko Osaba have recently participated in the development of the paper Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead, published in IEEE Transactions on Intelligent Transportation Systems (Q1, 4.051, 5/128).

The key topics of their research are: Bioinspired Computational Intelligence, Route Planning, Traffic Forecasting, Autonomous and Cooperative Driving, Driver Characterization, Smart Mobility .

Summary: This work capitalizes on the increasingly high relevance gained by data-intensive technologies in the development of Intelligent Transportation System, which calls for the progressive adoption of adaptive, self-learning methods for solving modeling, simulation and optimization problems. In this regard, certain mechanisms and processes observed in nature, including the animal brain, have proved themselves to excel not only in terms of efficiently capturing time-evolving stimuli, but also at undertaking complex tasks by virtue of mechanisms that can be extrapolated to computer algorithms and methods. This paper comprehensively reviews the state of the art around the application of bioinspired methods to the challenges arising in the broad field of Intelligent Transportation System (ITS). This systematic survey is complemented by an initiatory taxonomic introduction to bioinspired computational intelligence, along with the basics of its constituent techniques. A focus is placed on which research niches are still unexplored by the community in different ITS subareas. Open issues and research directions for the practical implementation of ITS endowed with bioinspired computational intelligence are also discussed in detail.

DOI: TO BE ASSIGNED