used in our analysis, and strong assumptions (but standard) have been made concerning the arrival and the departure processes. It is important to emphasize that all of these have been made to facilitate the mathematical analysis and do not limit the basic ideas presented in this paper. Furthermore, we also assumed honesty and compliance on the part of drivers and charging stations and that the cell, within which balancing is taking place, is of small size. The relaxation of these assumptions and the city-partitioning problem is the subject of ongoing work. In this context, the initial insights and the results can be found in [15]. The authors would like to thank the reviewers for their helpful comments and all the partners within TEAM for their cooperation and valuable contribution. Abstract-In this paper, we highlight the conceptual structure of the intelligent transportation systems (ITS) research field in the period 1992-2011. To do that, an automatic approach for detecting and visualizing hidden themes and their evolution across a consecutive span of years is applied. This automatic approach, which is based on co-word analysis, combines performance analysis and science mapping. To show the conceptual evolution of ITS, three consecutive periods have been defined, i.e REFERENCES
Based on co-word analysis, Cobo et al. REF proposed an automatic approach with the combination of performance analysis and science mapping to show the conceptual evolution of intelligent transportation systems research field during three consecutive periods.
A Bibliometric Analysis of the Intelligent Transportation Systems Research Based on Science Mapping
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems
Computer Science Engineering