Abstract
Several methods have been proposed to optimize two typical road-pricing schemes: cordon-based and area-based pricing. However, existing methods sometimes generate unrealistic optimal charging boundaries because it is difficult to control the shape of the charging boundary. In addition, these methods are unable to optimize the location of center point of charging boundary. Thus, it is necessary to set the location of center by human judgment before the computation. This study proposes an algorithm framework that can optimize charging boundary including the location of center point and control the shape of the boundary. The algorithm applies computational geometry approach to represent and optimize charging boundary. In addition, it can optimize multiple charging boundaries. This model is applied to real-world network and results are compared with existing method.
