Climate policy and intelligent transport systems: Application of new transport technologies to reduce greenhouse emissions

Abstract

CO2 emission has been considered as a key concern in energy and climate policies. Australia's greenhouse gas emissions have been at the highest level in recent years. As about 20% of CO2 emissions coming from transport sections and 68% emission of the transport section is produced in our roads, an urgent solution to this problem is required. The transport industry is moving fast toward being more intelligent and using new technologies such as Connected and Automated Vehicles and intelligent traffic Control Systems on the roads. In this research, the focus will be on the impact of these technologies on transport and effective strategies to reduce the greenhouse gases in Intelligent Transport Systems (ITS). In this paper, relevant recent works have been reviewed and a machine learning method has been applied to forecast traffic congestion. The effect of different ITS technologies has been assessed based on their gradual impact on the congestion each year. The result shows four years traffic forecast model with different annual impact coming from different ITS technologies.