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New transportation technologies (e.g., electric autonomous vehicles [EAVs]) and operation paradigms (e.g., car sharing) are discussed, researched, and to a small degree also deployed in recent years in response to rising energy crises and aggravating traffic congestions. In this research, we present a station‐based car‐sharing service system that integrates both EAV technologies and car‐sharing operations. Based on the simulation model, a dynamic and time‐continuous optimization model seeking a near‐optimum design of charging station location and EAV deployment is developed. By discretizing the model, we proposed a Monte Carlo simulation model to evaluate the total system cost for a given location and vehicle deployment design. A heuristic approach based on the genetic algorithm is developed to solve the system design of station location and vehicle deployment. A numerical test in Yantai City, China, is conducted to illustrate the effectiveness of the proposed model and to draw managerial insights into how the key parameters affect the system design. [ABSTRACT FROM AUTHOR]

The article presents an interview with Doctor Yanfang Liu of the Harbin Institute of Technology in China about his work on the programming of multiple unmanned aerial vehicles (UAVs). Topics discussed include Liu's field of research and how he came about to work in it, the particular application of UAVs in which he is most interested with and why, and how this field will develop over the years.