Status and Research Topics in Developing Ecological Transportation System within Connected Vehicle Age with Knowledge Discovery Database Techniques

Traditional traffic control and transportation management systems mainly focus on the relief of congestions and the enhancement of traffic safety. It is proven however that, the transportation sector is one of the main sources with significant impacts on the environment, the entire climate, the public health, and the entire ecological system [1-4], which is also an increasing general public concern. With the continuous growth and global embrace of the internet-of-things (IOT), wireless communication, and other advanced technologies, the connected vehicle-based eco-transportation system could offer a new definitive mobility that represents a fastest growing sector due to the multidisciplinary research, social, and business opportunities for collaborations among infrastructure, mobile devices, telecommunication and automotive entities. This article therefore focuses on the review of the development of models and algorithms for ecological transportation (or called eco-transportation) systems (including eco-driving, ecosignal and eco-routing systems) and the relevant connected vehicle and Knowledge Discovery in Databases (KDD) techniques. The multidisciplinary knowledge to develop the algorithms, models, and tools for the eco-transportation system could include transportation engineering, environmental science and engineering, mathematics, computer science and engineering, and electronics engineering. Techniques to support these models and algorithms would take account of transportation theories, environmental science, Operations Research (OR), computational algorithms, probability analysis, statistics, KDD (or data mining), machine learning and digital signal processing.