Who trigger green traffic light? - a robust and predictive urban traffic control solution
Event details
| Date | 02.10.2015 |
| Hour | 12:15 › 13:15 |
| Speaker | Prof. Dr Balazs Kulcsar, Associate Professor, chalmers University of Technology, Gothenburg, Sweden |
| Location | |
| Category | Conferences - Seminars |
The aim of the presented research is to elaborate a traffic-responsive optimal signal split algorithm taking traffic flow uncertainty into account. The traffic control objective is to minimize the weighted link queue lengths within an urban network area. The control problem is formulated in a centralized rolling-horizon fashion where unknown but bounded demand and queue uncertainty influences the prediction. An efficient, constrained minimax optimization is suggested to obtain the green time combination which minimizes the objective function when worst case uncertainty appears. As an illustrative example, a simulation study is carried out to demonstrate the effectiveness and computational feasibility of the robust predictive approach. By using real-world traffic data and microscopic traffic simulator, the proposed robust signal split algorithm is analyzed and compared to well-tuned fixed-time signal timing and to nominal predictive solutions under different traffic conditions.
Bio : Balazs KULCSAR received the Msc in transportation engineering and the PhD in automatic control from Budapest University of Technology (BUTE), Hungary. He worked as a researcher for the Department of Control for Transportation and Vehicle Systems, BUTE and for the Aerospace Engineering and Mechanics Department at the University of Minnesota, USA. After being a postdoctoral associate with Delft Center of Systems and Control, Delft University of Technology, The Netherlands, he became an assistant and later on an associate professor with Automatic Control group at the Department of Signals and Systems, Chalmers University of Technology in Gothenburg, Sweden. His main research interest encompasses traffic flow modeling and control with an inclination to incident/failure diagnosis.
Bio : Balazs KULCSAR received the Msc in transportation engineering and the PhD in automatic control from Budapest University of Technology (BUTE), Hungary. He worked as a researcher for the Department of Control for Transportation and Vehicle Systems, BUTE and for the Aerospace Engineering and Mechanics Department at the University of Minnesota, USA. After being a postdoctoral associate with Delft Center of Systems and Control, Delft University of Technology, The Netherlands, he became an assistant and later on an associate professor with Automatic Control group at the Department of Signals and Systems, Chalmers University of Technology in Gothenburg, Sweden. His main research interest encompasses traffic flow modeling and control with an inclination to incident/failure diagnosis.
Practical information
- General public
- Free
Organizer
- Prof. Dr Brice Lecampion & Katrin Beyer
Contact
- Prof. Dr Nikolas Geroliminis