Dynamic Relocating Vehicle Resources Using a Microscopic Traffic Simulation Model for Carsharing Services

This research involves a study of the existing carsharing services in Singapore. In this paper, a novel method to forecast and relocate vehicle resources for carsharing services was proposed. The proposed model consists of three main components, i.e., microscopic traffic simulation, focus forecasting and inventory replenishing. An actual suburban network of the Clementi area of Singapore and including several carsharing ports was used for the microscopic simulations conducted in this study. Based on the experimental results, the proposed method has the potential to improve the carsharing service currently operating in Singapore.