To ensure higher Level of Service (LoS) at urban motorways,
new traffic control concepts are being applied since in most cases there is no available space for infrastructural build-up. For urban motorways, the mostly used control methods are ramp metering combined with additional control methods like variable speed limit control (VSLC). This paper gives a review of the current ramp metering approaches with special emphasis on cooperative control concepts between ramp metering, VSLC, prohibiting lane changes system and the vehicle itself. Additionally, a learning framework for ramp metering proposed by the authors is described. The CTMSIM Matlab based macroscopic motorway simulator with ramp metering control support is used for the simulation of selected ramp metering approaches. The simulator
is also augmented to enable the development and implementation of cooperative ramp metering approaches. The
Zagreb bypass is used as test case for evaluation of several
different ramp metering algorithms.
Li D, Ranjitkar P. Assessing Ramp Metering and Variable Speed Limits Strategies for Auckland Motorway. Proceedings of the 20th ITS World Congress; 2013 Oct 14-18; Tokyo, Japan. TRB; 2013.
Papageorgiou M. Traffic Control. In: Randolph WH, editor. Handbook of Transportation Science. Berlin: Springer, International Series in Operations Research and Management Science, 2003; p. 243-277.
Official Journal of the European Union. Directive 2010/40/EU: On the framework for the deployment of Intelligent Transport Systems in the field of road transport and for interfaces with other modes of transport. Brussels, Belgium: European Parliament and the European Council; 2010.
Mandžuka S, Žura M, Horvat B, Bićanić D, Mitsakis E. Directives of the European Union on Intelligent Transport Systems and their impact on the Republic of Croatia. Promet – Traffic & Transportation. 2013 May; 25(3):273-283. doi: 10.7307/ptt.v25i3.1323
Geroliminis N, Srivastava A, Michalopoulos PA, Coordinated ramp metering algorithm for Minnesota’s freeways based on density. Proceedings of the 13th International IEEE Annual Conference on Intelligent Transportation Systems; 2010 Sep 19-22; Madeira Island, Portugal. IEEE; 2010.
Sariel S. An integrated planning, scheduling and execution framework for multi-robot cooperation and coordination [PhD thesis]. İstanbul Technical University: Institute of Science and Technology; 2007.
Dryankova V, Abouaïssa H, Jolly D, Haj-Salem H, Nikolov E. Simulation-Based Evaluation of New Freeway Isolated Ramp Metering. Control in Transportation Systems. 2012 Sep; 13(1):347-352.
Jacobson L, Stribiak J, Nelson L, Sallman D. Ramp management and control – Handbook. Final Report: U.S. Department of Transport, Federal Highway Administration; 2006.
Kurzhanskiy A, Varaiya P. CTMSIM Traffic Macro-Simulator for MATLAB. User Guide, TOPL Group: UC Berkeley; 2008.
Papageorgiou M, Hadj-Salem H, Blosseville JM. ALINEA a Local Feedback Control Law for Onramp Metering. Proceedings of the 3rd International conference on Road Traffic Control; 1990 May 1-3; London, UK. IET; 1991.
Papageorgiou M, Kotsialos A. Freeway ramp metering: An overview. IEEE Transactions on Intelligent Transportation Systems. 2002 Jan; 3(4):271-281.
Zhang M, Kim T, Nie X, Jin W. Evaluation of On-ramp Control Algorithms. California PATH Program - Research Report UCB-ITS-PRR-2001-36. University of California. Berkeley; 2001.
Ahn S, Bertini L, Auffray B, Ross JH, Eshel O. Evaluating Benefits of System-Wide Adaptive Ramp-Metering Strategy in Portland - Oregon. Transportation Research Record: Journal of the Transportation Research Board. 2008 Dec;2012:47-56. doi: 10.3141/2012-06
Bertini RL, Ahn S. Using archived ITS data to measure the operational benefits of a System-Wide Adaptive ramp metering system. ATMS Testbed Technical Report, SPR Project No. 645; Portland State University; 2006.
Papageorgiou M, Kosmatopoulos E, Papamichail I. Effects of Variable Speed Limits on Motorway Traffic Flow, Transportation Research Record: Journal of the Transportation Research Board. 2008 Dec;2047:37-48. doi: 10.3141/2047-05
Hegyi A, De Schutter B, Hellendoorn H. Model predictive control for optimal coordination of ramp metering and variable speed limits, Transportation Research Part C. 2005 Jun;13(3):185-209. doi:10.1016/j.trc.2004.08.001
Lee C, Hellinga B. Evaluation of variable speed limits to improve traffic safety, Transportation Research Part C: Emerging Technologies. 2006 Jun;14(3):213-228. doi:10.1016/j.trc.2006.06.002
Servin O, Boriboonsomsin K, Barth M. An Energy and Emissions Impact Evaluation of Intelligent Speed Adaptation. Proceedings of IEEE Intelligent Transportation Systems Conference (ITSC2006); 2006 Sep 17-20; Toronto, Canada. IEEE; 2006.
Carsten OMJ, Tate F. Intelligent speed adaptation: Accident savings and cost-benefit analysis. Accident Analysis and Prevention. 2005 May;37(3):407-416. doi:10.1016/j.aap.2004.02.007
Barcelo J. Fundamentals of Traffic Simulations. Springer Science Business Media: LLC; 2010.
Štefančić G, Marijan D, Kljajić S. Capacity and Level of Service on the Zagreb Bypass. Promet – Traffic & Transportation. 2012 May;24(3):261-267. doi: 10.7307/ptt.v24i3.319
Gregurić M, Ivanjko E, Mandžuka S. Cooperative ramp metering simulation. Proceedings of 37th International convention on Information and Communication Technology, Electronics and Microelectronics; 2014 May 26-39; Opatija, Croatia. IEEE; 2015.
Feng C, Yuanhua J, Jian L, Huixin Y, Zhonghai N. Design of Fuzzy Neural Network Control Method for Ramp Metering. Proceedings of the 3rd International Conference Measuring Technology and Mechatronics Automation; 2011 Jan 6-7; Shanghai, China. IEEE; 2011.
Gregurić M, Ivanjko E, Galić I, Mandžuka S, Gold H. Urban Highways Level of Service Improvement Based on Intelligent Ramp Metering. Proceedings of 25th Central European Conference on Information and Intelligent Systems; 2014 Sep 17-19; Varaždin, Croatia. IEEE; 2014.
Wang M, Daamen W, Hoogendoorn SP, Van Arem B. Connected variable speed limits control and vehicle acceleration control to resolve moving jams. Proceedings of the 94th Annual Meeting of Transportation Research Board; 2015 Jan 11-15; Washington D.C, USA. TRB; 2015.
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