Abstract

The past decades have witnessed the rise and power of big data, artificial intelligence, the Internet of Things (IoT), cloud computing, and parallel systems. These advanced techniques have great potential and capacity to enable new methodology, applications, and dramatic improvements for current intelligent transportation systems (ITS). To this end, developing new concepts/methodology/tools/algorithms/applications for future ITS with these technologies become more important and promising.

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