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Modeling and Simulation

Updating Princeton’s circa 2010 nation-wide, virtual household, virtual individual, virtual personTrip files to circa 2020

For over ten (10) years, Princeton University’s Transportation Program, under the direction of Professor Alain Kornhauser has been developing interactive web-based tools to make readily available to planners and researchers the fundamental demand for mobility that supports a desirable quality-of-life that reflect where people live and the distribution of land uses in which real residential patterns are imbedded.

Dr. Michael Katehakis

Dr. Katehakis is a distinguished professor at Rutgers University. He holds a courtesy appointment in Rutgers' New Brunswick Department of Mathematics Graduate Faculty, and he is a member of DIMACS the Center for Discrete Mathematics and Theoretical Computer Science, he is a Primary Investigator of CDDA the Rutgers Center for Dynamic Data Analytics, and a member of RUTCOR, the Rutgers Center for Operations Research.

Business Location Data Analysis and Editing Interface Tool Development

One of the most important aspects of transportation planning is understanding employment information of businesses and organizations. Information such as location of employment, size of organization or business in terms of employees, sales, can provide valuable input to understanding travel patterns and human activities. Visualizing this information along with several administrative, transportation and infrastructure facilities provides key contextual information to transportation planning agencies.

An Analysis Framework for Determining the Best Location of VMS's in a Transportation Network Using DTA

The location of Variable Message Signs (VMS) has not been adequately addressed by the research community yet it is a standard practice among state and local transportation agencies. The past few years have witnessed a new trend - mainly in Asian countries (e.g. Beijing, Shanghai, Singapore) – in the use of VMSs to provide traffic flow information in full/partial LED displays.

Dr. Xuegang (Jeff) Ban

Dr. Ban’s research interests are in transportation network system modeling and simulation, urban traffic system modeling and operations, and Intelligent Transportation Systems (ITS). He develops modeling tools to study dynamic transportation networks with emerging technologies and systems such as connected/automated vehicles and shared mobility. He also works on urban traffic system state estimation/prediction using mobile sensing data.

Dr. Ralph Alan Dusseau

Ralph Alan Dusseau is the DRBA Professor and Chair of Civil and Environmental Engineering at Rowan University. He received his bachelors, masters, and doctoral degrees from Michigan State University. Dr. Dusseau’s masters thesis and doctoral dissertation both involved finite- element analysis of steel arch bridges. He spent 10 years as an Assistant and Associate Professor of Civil and Environmental Engineering at Wayne State University.

Dr. Hao Wang

Dr. Wang’s general research is in the field of sustainable and resilient built environment. His recent research focuses on: 1) multi-scale modeling and characterization of pavement material and development of multi-functional infrastructure material; 2) vehicle-pavement-environment interaction for long-lasting pavement in highway and airfield; 3) life-cycle analysis and assessment and pavement management system. His research has been sponsored by a number of Federal, State, and Local transportation agencies.

Understanding Residential Location Decision in the New York Region

The complex activity and travel patterns in the New York Metropolitan Region are currently modeled by the “Best Practice Model” (BPM), maintained by New York Metropolitan Transportation Council. Though representing the state of practice, it does not include a land use model that can create feedback loops between urban system and regional traffic patterns. A key component of a land use model is households’ residential location choice model.

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