Harmonization and synchronization model of interrupted traffic flows on motorways
The research in this paper focuses on harmonization and synchronization of traffic flows in the period of application of zonal temporary traffic regulation. The specific case scenario addressed in this research implicates that on both carriageways no vehicles were allowed to reside in the work zones for a significant time interval in the same time periods on both sections. In order to solve this problem, the model for harmonization of the traffic flows on dual carriageway motorways with synchronization of opposing traffic flows on both carriageways in special traffic conditions is presented. Actual traffic situation that occurred is presented in order to demonstrate the model, where intensive traffic flows were interrupted on both carriageways during extensive road works on two nearby sections. The model described in this paper has several stages. The first stage implies detailed analysis of traffic flows with computation of expected number of vehicles in the queue. The next stage in the modelling process is to calculate the queue discharge time for both directions and propose measures to optimise operating speed in order to maximize capacity. Then, a graphical method by means of two-way coordination diagram is used to synchronise stop signal timings on all closed sections. This paper shows results of a new model that was developed and implemented in real situations in most complex conditions that can occur on motorways. The research findings have shown the suitability of the proposed model.
Clempner, J. B.; Poznyak, A. S. 2015. Modeling the multi-traffic signal-control synchronization: a Markov chains game theory approach, Engineering Applications of Artificial Intelligence 43: 147–156 http://doi.org/10.1016/j.engappai.2015.04.009
Dadić, I.; Kos, G.; Ševrović, M. 2014. Teorija prometnog toka. Sveučilišni u Zagrebu, Hrvatska, 227 s. Available from Internet: http://files.fpz.hr/Djelatnici/msevrovic/Teorija-prometnih-tokova-2014-skripta.pdf (in Croatian).
ETSC. 2011. Road Safety at Work Zones. PRAISE Thematic Report 6. Preventing Road Accidents and Injuries for the Safety of Employees (PRAISE). European Transport Safety Council (ETSC). 42 p. Available from Internet: http://etsc.eu/road-safety-at-work-zones
EU. 2010. Directive 2010/40/EU of the European Parliament and of the Council of 7 July 2010 on the Framework for the Deployment of Intelligent Transport Systems in the Field of Road Transport and for Interfaces with Other Modes of Transport. Available from Internet: http://eur-lex.europa.eu/eli/dir/2010/40/oj
Garber, N. J.; Hoel, L. A. 2014. Traffic and Highway Engineering. 5th edition. Cengage Learning. 1296 p.
Highway Capacity Manual. 2000. Transportation Research Board. 1134 p.
Kos, G.; Brlek, P.; Poić, K.; Vidović, K. 2012. Correct temporary regulation in cities in the function of traffic safety, in XI International Symposium ‘Road Accidents Prevention 2012’, 11–12 October 2012, Novi Sad, Serbia.
Lee, S.; Wong, S. C.; Li, Y. C. 2015. Real-time estimation of lane-based queue lengths at isolated signalized junctions, Transportation Research Part C: Emerging Technologies 56: 1–17. http://doi.org/10.1016/j.trc.2015.03.019
May, A. D. 1990. Traffic Flow Fundamentals. Prentice Hall. 464 p.
Riener, A.; Zia, K.; Ferscha, A.; Ruiz Beltran, C.; Minguez Rubio, J. J. 2013. Traffic flow harmonization in expressway merging, Personal and Ubiquitous Computing 17(3): 519–532. http://doi.org/10.1007/s00779-012-0505-6
Rossi, R.; Gastaldi, M.; Pascucci, F. 2014. Empirical analysis of vehicle time headways and speeds on rural two-lane, two-way roads, Transportation Research Record: Journal of the Transportation Research Board 2422: 141–149. http://doi.org/10.3141/2422-16
RSA. 1995. Richtlinien für die Sicherung von Arbeitsstellen an Straßen. Borgmann GmbH & Co KG, Dortmund, Deutschland. 166 S. (in German).
Tiaprasert, K.; Zhang, Y.; Wang, X. B.; Zeng, X. 2015. Queue length estimation using connected vehicle technology for adaptive signal control, IEEE Transactions on Intelligent Transportation Systems 16(4): 2129–2140. http://doi.org/10.1109/TITS.2015.2401007
Ullman, G. L.; Finley, M. D.; Pike, A. M.; Knapp, K. K.; Songchitruksa, P.; Williams, A. A. 2008. Studies to Improve Temporary Traffic Control at Urban Freeway Interchanges and Pavement Marking Material Selection in Work Zones. Report No FHWA/TX-08/0-5238-2. Texas Transportation Institute, Texas A&M University System, US. 228 p. Available from Internet: http://tti.tamu.edu/documents/0-5238-2.pdf
Vadde, R.; Sun, D.; Sai, J. O.; Faruqi, M. A.; Leelani, P. T. 2012. A simulation study of using active traffic management strategies on congested freeways, Journal of Modern Transportation 20(3): 178–184. http://doi.org/10.1007/BF03325796
Waller, S. T.; Ng, M. W.; Ferguson, E.; Nezamuddin, N.; Sun, D. 2009. Speed Harmonization and Peak-period Shoulder Use to Manage Urban Freeway Congestion. Report No FHWA/TX-10/0-5913-1. Center for Transportation Research, University of Texas at Austin, US. 125 p. Available from Internet: http://ctr.utexas.edu/wp-content/uploads/pubs/0_5913_1.pdf
Wardrop, J. G. 1952. Some theoretical aspects of road traffic research, Proceedings of the Institution of Civil Engineers 1(3): 325–362. http://doi.org/10.1680/ipeds.1952.11259