Intelligent Transportation System Resource Center

Organization profile

Organization profile

The Intelligent Transportation Systems (ITS) Resource Center was established as a research and technology resource for the New Jersey Department of Transportation’s Division of Traffic Operations and Division of Mobility and Systems Engineering. ITS utilizes roadside sensing, information and communication technologies and integrates them into traffic engineering and management practices with the goal of reducing congestion and improving the mobility, safety and efficiency of the transportation system in support of sustainable regional growth and economic development. The main purpose of the center is to conduct research studies of innovative  ITS technologies and optimize strategies for their deployment in the regional transportation system. This is accomplished through technology assessment, the evaluation of strategies and deployment scenarios, concept-development studies and technology transfer and training. The center and its laboratory also serve as a test bed for innovative and promising new ITS technologies. They include vehicle sensing and traffic-flow monitoring, automated traffic-incident detection and emergency response, active traffic management using traffic sensors and wireless communication, traffic and transportation data analytics, ITS system integration, and the introduction of connected and autonomous (driverless) vehicle technologies on our roadways. From a teaching and learning standpoint, the Center builds on and further strengthens NJIT’s competencies and national stature in the research areas of information and communication technology and sustainable systems and infrastructure. The center also serves as the nexus among federal and state transportation agencies, the regional academic research community and the private sector engaged in the development and implementation of innovative transportation-intelligence technology and services.

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Research Output

Feature representation and extraction for image search and video retrieval

Lee, J., Spasovic, L. & Liu, C., Jan 1 2017, Intelligent Systems Reference Library. Springer Science and Business Media Deutschland GmbH, p. 1-19 19 p. (Intelligent Systems Reference Library; vol. 121).

New Jersey Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingChapter

Press / Media