A Bibliometric Analysis of the Intelligent Transportation Systems Research Based on Science Mapping

Author

Cobo, M.J. ; Chiclana, F. ; Collop, A. ; de Ona, J. ; Herrera-Viedma, E.

Author_Institution

Dept. of Comput. Sci., Univ. of Cadiz, Cadiz, Spain

Volume

15

Issue

2

fYear

2014

fDate

Apr-14

Firstpage

901

Lastpage

908

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., 1992-2001, 2002-2006, and 2007-2011. We have identified that the ITS research has been focused on six main thematic areas, i.e., VEHICLE-AND-ROAD-TRACKING, DRIVER-BEHAVIOR-AND-SAFETY, SCENARIOS-SIMULATION, TRAFFIC-FLOW-AND-TRAFFIC-MANAGEMENT, VEHICLE-CONTROL, and VEHICLE-NAVIGATION.

Keywords

data visualisation; information analysis; intelligent transportation systems; ITS research; bibliometric analysis; co-word analysis; driver behavior and safety; hidden theme detection; hidden theme visualization; intelligent transportation systems; performance analysis; scenarios simulation; science mapping; traffic flow and traffic management; vehicle and road tracking; vehicle control; vehicle navigation; Artificial intelligence; Bibliometrics; Global Positioning System; Indexes; Vehicles; $h$-index; Co-word analysis; intelligent transportation systems (ITS); science mapping analysis;

fLanguage

English

Journal_Title

Intelligent Transportation Systems, IEEE Transactions on

Publisher

ieee

ISSN

1524-9050

Type

jour

DOI

10.1109/TITS.2013.2284756

Filename

6651832