Environment-Conscious Urban Design Simulator "Clean Mobility Simulator" - Traffic Simulator that Includes Electric Vehicles -

For discussion and proliferation of smart community projects around the world that strive for a low-carbon society through the effective use of energy and electric power-demand management, there is a growing demand of technology for the quantitative evaluation of urban comfort and energy management. Mitsubishi Heavy Industries, Ltd. (MHI) has focused its attention on traffic, which is difficult to evaluate quantitatively. MHI has developed a traffic evaluation simulator that can examine the introduction of infrastructure related to charging equipment and transportation measures for the spread of electric vehicles. This paper presents an overview of the simulator and several examples of its use |1. Introduction Smart community projects that intend to establish a social system based on electricity and realize low-carbon society are discussed and executed around the world in response to attention-drawing large scale environmental issues such as global warming. In these projects, as well as renewable energy and more-efficient fossil fuel applications, the efficient use of electricity through electric power-demand management has a significant role in achieving a low-carbon society. These projects often include the adoption of electric vehicles (EVs) for transportation. Thus there is a growing need to study the required charging infrastructure and traffic measures for electric power-demand management in the context of the accompanying increase in the demand for electric power. However, quantitative evaluation of the electric power demand of transportation is difficult because the demand is significantly influenced by social behavior of each person. This requires an evaluation approach that can consider such factors. We have developed a Clean Mobility Simulator, a traffic evaluation model that can simulate city traffic flows including the charging of EVs. The simulator can also quantitatively evaluate traffic-related urban comfort and energy management. This paper presents an overview of the simulator.