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CE Home > People > Faculty Directory > Nikolas Geroliminis

Nikolas Geroliminis
Assistant Professor

Nikolas Geroliminis

Contact Information

Research interests

    Traffic congestion is increasing in major cities. The construction of new infrastructure is not a feasible solution to decrease congestion. My research to date has focused on developing more sustainable transportation systems by improving the use of existing facilities. Specific areas of research include modeling and estimation of travel times and other performance measures in arterials; location of emergency response vehicles in transportation networks; urban transportation and gridlock in cities.

    Current research focuses on macroscopic modeling the macroscopic modeling of traffic flow for overcrowded cities. Understanding the physics of congestion is a necessary first step towards developing policies for mobility improvements, such as pricing and control. This work shows that a Macroscopic Fundamental Diagram (MFD) relating production (the product of average flow and network length) and accumulation (the product of average density and network length) exists for neighborhoods of cities in the order of 5-10km2. It also demonstrates that conditional on accumulation large networks behave predictably and independently of their Origin-Destination tables. These results are based on analysis using simulation of large scale city networks and real data from urban metropolitan areas. This work also demonstrates that the dynamics of the rush hour can be predicted quite accurately without the knowledge of disaggregated data. This MFD is applied to develop perimeter control strategies based on neighborhood accumulation and speeds and improve accessibility without the uncertainty inherent in today's forecast-based approaches. The looking-for-parking phenomenon that extends the average trip length is also integrated in the dynamics of the rush hour.

Selected publications

Geroliminis N., Daganzo C.F., 2008, Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings (accepted for publication, Transportation Research, part B)

Skabardonis A., Geroliminis N., 2008, Real-time Monitoring and Control on Signalized Arterials (accepted for publication, Journal of ITS)

Geroliminis N., Karlaftis M.G., Skabardonis A., 2007, A Spatial Queueing Model for the Emergency Vehicle Districting and Location Problem (submitted for publication, Transportation Science)

Geroliminis N., Daganzo C.F., 2007, Macroscopic modeling of traffic in cities, 86th Annual Meeting Transportation Research Board, Washington D.C.

Geroliminis N., Skabardonis A., 2005, Prediction of arrival profiles and queue lengths along signalized arterials using a Markov decision process, Transportation Research Record, 1934, 116-124

Skabardonis A., Geroliminis N., 2005, Real-Time Estimation of Travel Times along Signalized Arterials, Transportation and Traffic Theory, (editor H. Mahmassani) Maryland, Elsevier, 387-406

Education

  • Diploma, 2003, Civil Engineering, National Technical University of Athens, Greece
  • M.S., 2004, Civil and Environmental Engineering, University of California at Berkeley
  • Ph.D., 2007, Civil and Environmental Engineering, University of California at Berkeley

Experience

  • Researcher, University of California-Berkeley, 2003-2007
 
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