The Traffic Management Research Center was established in 1994 as a part of the Transportation Research Institute. The center specializes in developing algorithms, methodologies and systems to support the goals of sustainable transportation. The center’s team includes researchers with a broad range of backgrounds and many years of experience. They apply their knowledge to tackle various challenges in urban transportation. The diverse composition of the research team, allows it to be involved in interdisciplinary research that integrates expertise in transportation engineering, operations research, statistics, data and text mining, behavioral sciences, systems analysis and software engineering.
Research activities, which are funded by various local and international agencies, include the following:
- Development of innovative decision making processes in the field of mobility management and their integration in AVIVIM, the municipal traffic management and control system used in the Tel-Aviv and Haifa traffic control centers.
- Use of data from new sensing technologies in urban transportation systems and development of information fusion processes.
- Implementation of machine learning methods for structured information analysis as a basis for proactive traffic management strategies.
- Development of interactive tools that support analysis and presentation of spatial-temporal mobility patterns to facilitate decision-making.
- Use of Business Intelligence (BI) tools for analysis and visualization of the complex connections between traffic data and traffic management actions.
- Analysis of service quality and satisfaction from public transport using innovative tools for quantitative and qualitative data collection and implementation of text mining processes to understand the needs of all road users.
- Encouragement of sustainable transportation, use of non-motorized modes, and using incentives to induce behavioral change in travel habits.