Machine Learning in Future Smart Transportation System

Dear Colleagues,

The Computer Age has progressively affected various sectors of our society, with the aim of solving and simplifying the numerous problems related to the most diverse fields, from administration to science and from fashion to medicine.

However, the high speed of evolution has often generated entirely new problems, which in many cases constitute a great obstacle to harmonious technological development: a very significant and representative area is constituted precisely by the great congestion relating to the entire air transport network, naval sector and, above all, terrestrial with particular reference to road traffic.

For this reason, the efforts aimed at traffic management have multiplied over recent years, due partly to the adopting of innovative and ingenious solutions based mainly on techniques and methodologies that make use of localization systems in the most disparate forms.

The complexity of the problems often requires the use of complex methodologies and, in fact, the use of artificial intelligence techniques capable of simulating human behavior is becoming increasingly frequent. In particular, many of these techniques are also capable of self-evolution, thanks to sophisticated machine learning methodologies based on large amounts of data from sensors and devices present everywhere—in the streets, in buildings, on people.

The purpose of this Special Issue is to highlight the most recent innovations in the area of ​​machine learning to facilitate the proposal of innovative services and models that contribute to increasingly simplified and intelligent management, especially in the field of transport.

The topics of this Special Issue include, but are not limited to, the following:

• Smart traffic control algorithms
• Indoor and outdoor localization
• Real-time network optimization
• IoT applications in event-based management (traffic incidents, work zone, special events, etc.)
• Novel data acquisition, fusion, management, and analytics in transportation
• Cooperative traffic control in connected environments

Dr. Walter Balzano
Guest Editor

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