Proposals for optimizing a selected traffic hub in the city Brno

Abstract

This paper deals with the optimization of one of the most problematic intersections in the north of Brno, Czech Republic. Specifically, it is an optimization of the intersection of roads I / 43 and II / 150. The aim is to optimize the intersection in such a way as to ensure both the flow of traffic and, above all, the safety of traffic in these places. The results of this optimization are presented using images from the simulation in the PTV VISSIM program, which clearly shows the changes in traffic after various optimization solutions. The result is the selection of the best solution for an optimization. The paper is divided into several chapters. First, a literature search on the issue will be carried out. Secondly, the current state of the intersection will be presented. The central part of the work will follow the optimization of the intersection with the presentation of the results. These results will be presented in various options for choosing the best solution. Finally, recommendations will be proposed.

Intersection | Optimalization | Traffic | PTV VISSIM | Traffic Hub

References

1. Coelho, M. F., Coelho, J. M. (2011). Impact of Road Traffic Incidents on Pollutant Emissions. IEEE
   Forum on Integrated and Sustainable Transportation Systems, 312-316.
   
2. Durrani, U., Lee, Ch., Maoh, H. (2016). Calibrating the Wiedermann´s vehicle following model using mixed vehicle-pair interactions. Transportation Research Part C: Emerging Technologies, 67: 227-242.
   
3. Dvorak, Z., Leitner, B., Novak, L. (2012). National Transport Information System in Slovakia as a Tool for Security Enhancing of Critical Accident Locations. Proceesings of 16th International
   Conference. Transport Means. 2012, 145-148.
   
4. European Council. (2008) Council Directive 2008/114/EC of 8 December 2008 on the Identification and Designation of European Critical Infrastructures and the Assessment of the Need to Improve their Protection.
   
5. Jie, L., Fungfung Z., Zuylen, H., Shoufeng, L. (2011). Calibration of a micro simulation program for Chinese city. Procedia Social and Behavioral Sciences, 20:263-272.
   
6. Konfant, M., Gogola, M. (2017). Possibilities of using traffic planning software in Bratislava. 12th
   International Scientific Conference on Sustainable, Modern and Safe Trasnport (TRANSCOM 2017),433-438.
   
7. Korcek, P., Sekanina, L., Fucik, O. (2011). A Scalable Cellular Automata Based Micrscopic Traffic
   Simulation. IEEE Intelligent Vehicles Symposium, IV: 13-18.
   
8. Novotny, P., Janosika, M. (2020) Designating Regional Elements System in a Critical Infrastructure System in the Context of the Czech Republic. Systems,8,13.
   
9. Ondrus, J., Cernicky, L. (2016). Usage of Polcam device for parameter monitoring and traffic flow modelling. Communications: Scientific letters of the University of Žilina, 18:118-123.
   
10. Partman, D., Splichalova, A., Rehak, D., Onderkova, V. (2019). Factors Influencing the Performance of Critical Land Transport Infrastructure Elements. 13th International Scientific Conference on Sustainable, Modern and Safe Trasnport (TRANSCOM 2019), 1518-1524.
    
11. PTV Vissim 8, User Manual. (2016) PTV AG, Karlsruhe, Germany.
    
12. Rehak, D., Partmena, D., Brabcova, V., Dvorak, Z. (2020) Identifying Critical Elements of Road
    Infrastructure Using Cascading Impact Assessment. TRANSPORT.
    
13. Rostami-Shahrbabaki, M., Safavi A.A., Papageorgiou, M., Setoodeh, P., Papmichail, I. (2020) State estimation in urban traffic networks: A two-layer approach. Transportation Research Part C, 115:2-24.
    
14. Treiber, M., Kesting, A. (2013). Traffic Flow Dynamics: Data, Models, and Simulation. Springer.
    
15. Volkova, E., Stepanenko, A. (2019). Traffic intensity on highway R-255 Siberia in Irkutsk region. IOP Conf. Series: Materials Science and Enginnering, 667: 1-6.