Soft Computing in Intelligent Transportation System

Dear Colleagues,

Intelligent transportation systems (ITS) combine advanced information and telecommunication technologies and various data sources for improving efficiency and safety of transportation. ITS data are highly diverse and include observations from traffic sensors, video surveillance, navigation systems as well as volunteer messages and social media. This huge amount of imperfect heterogeneous data and vagueness of transportation processes create an excellent environment for application of soft computing techniques. Soft computing techniques like fuzzy set theory, metaheuristic algorithms, neural and probabilistic networks are widely used for solving emerging transportation problems. This issue collects the most recent advances of soft computing with their application for different aspects of transportation.
List of topics:

• Urban traffic forecasting
• Autonomous driving
• Traffic congestion prediction
• Public transport optimisation
• Intelligent routing and traffic organization
• Organization of vehicular adhoc networks
• Efficient parking facility planning
• Design, construction and maintenance of transport facilities
• Logistics ad optimized freight transportation

Dr. Enrique Onieva
Dr. Dmitry Pavlyuk
Guest Editors

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