Intelligent Transportation Systems in Smart Cities

Dear Colleagues,

With the rapid development of information technology, intelligent devices have been widely used in people's daily lives. Among the many applications, intelligent transportation that relies on the integration of transportation infrastructure and vehicular technology has recently received a great deal of attention. A smart city based on the Internet, Internet of Things, telecommunications, radio and television, and wireless broadband network is a new model for modern city development, aiming to promote intelligent technology integration and features of efficient and convenient social services. The development of intelligent transportation systems (ITSs) is of great significance in the process of smart city development, seeking to effectively improve the efficiency of transportation systems, reduce energy consumption, lower transportation costs, and decrease impacts on the environment. Furthermore, intelligent traffic control plays a vital role in dealing with the issues of traffic congestion and accidents.

Current technologies applied to ITSs mainly include information technology, computer technology, data communication technology, sensor technology, electronic control technology, and artificial intelligence that can not only solve the problems in present transportation systems, but also be applied online with informatization and intelligent equipment to meet the development requirements of smart cities. Although the development of ITSs has received extensive attention and made significant breakthroughs, weaknesses such as an insufficient application of technologies, low efficiency of management, and poor service levels still remain.

The development of key ITS technologies is an indispensable part of realizing effective ITS applications for the development of smart cities. The purpose of this Special Issue is therefore to promote research concerning important aspects of ITS development in smart cities, focusing on the key enabling technologies.

Potential topics include, but are not limited to, the following:

• AI technologies for intelligent transportation systems
• Traffic modeling, simulation, prediction, and optimal control
• Environment perception and recognition
• Machine learning applications in autonomous driving
• Deep reinforcement learning for autonomous vehicles
• Path tracking and motion control vehicles
• Internet of vehicles and smart transportation

Prof. Dr. Jingsha He
Prof. Dr. George K. Adam
Dr. Danilo Avola
Guest Editors

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