Traffic Management Solutions at Roadwork Zones During Planned Special Events

Authors

DOI:

https://doi.org/10.7250/bjrbe.2021-16.522

Keywords:

roadwork zone, special planned events, traffic capacity, traffic congestion, traffic flows

Abstract

Planned special events (PSEs) attract more people than usual to specific areas, which leads to increased traffic flows and congestions on the roads. Roadwork zones are among the most vulnerable areas on the roads, where increased traffic can lead to congestion. In roadwork zones, the vehicle flow capacity is already lower than in the conventional situations without roadworks, but at the time of PSEs, these zones become difficult to pass if no attention is paid to the change of the traffic management scheme. This kind of events poses many threats for road authorities, thus, new traffic management systems should be considered. This paper analyzes 2 PSEs and one national celebration in Lithuania and a significant impact they have on the regular traffic flow. PSEs are taken into consideration as they attract traffic to a known place; however, national celebrations distort traffic along all roads and it is not known exactly, which roads will be congested the most. Since roadwork zones cause congestion problems even in conventional situations, this paper presents traffic capacity calculations at these road stretches during PSEs and considers how they change depending on the traffic management scheme.

References

Al-Kaisy, A., & Hall, F. (2003). Guidelines for Estimating Capacity at Freeway Reconstruction Zones. Journal of Transportation Engineering, 129(5), 572–577. https://doi.org/10.1061/(asce)0733-947x(2003)129:5(572)

BASt. (2011). Ausführungshinweise zum Leitfaden zum Arbeitsstellenmanagement auf Bundesautobahnen. Bundesanstalt für Straβenwesen. Version Maj 2011.

Benekohal, R. F., Kaja-Mohideen, A., & Chitturi, M. V. (2003). Evaluation of Construction Work Zone Operational Issues: Capacity, Queue, and Delay. ITRC FR 00/01-4, Illinois Transportation Research Center, Champaign, IL.

Benekohal, R. F., Ramezani, H., & Avrenli, K. A. (2010). Queue and User’s Cost in Highway Work Zones. University of Illinois at Urbana Champaign, Research Report ICT-10-075. A report of A Model for Capacity Reduction at Roadwork Zone P. Str¨omgren and J. Olstam 255 the findings of ICT-R27-33 Queue and Users’ Costs in Highway Work Zones, Illinois Center for Transportation.

Bowdin, G., O’Toole, W., Allen, J., Harris, R., & McDonnell, I. (2006). Events Management. Routledge. https://doi.org/10.4324/9780080457154

Chitturi, M. V., & Benekohal, R. F. (2005). Effect of Lane Width on Speed of Cars and Heavy Vehicles in Work Zones. Transportation Research Record, 1920(1), 41–48. https://doi.org/10.1177/0361198105192000105

Crompton, J. L. (1995). Economic Impact Analysis of Sports Facilities and Events: Eleven Sources of Misapplication. Journal of Sport Management, 9(1), 14–35. https://doi.org/10.1123/jsm.9.1.14

Deccio, C., & Baloglu, S. (2002). Nonhost Community Resident Reactions to the 2002 Winter Olympics: The Spillover Impacts. Journal of Travel Research, 41(1), 46–56. https://doi.org/10.1177/0047287502041001006

Duivenvoorden, K. (2010). The Relationship Between Traffic Volume and Road Safety on the Secondary Road Network: A Literature Review. D-2010-2. SWOV Institute for Road Safety Research, Leidschendam.

FHWA. (2003). Managing Travel for Planned Special Events. Washington, DC: Federal Highway Administration.

Godley, S. T., Triggs, T. J., & Fildes, B. N. (2004). Perceptual Lane Width, Wide Perceptual Road Center Markings and Driving Speeds. Ergonomics, 47(3), 237–256. https://doi.org/10.1080/00140130310001629711

Haragos, I. M., Holban, S., & Cernazanu-Glavan, C. (2014). Determination of Quality Factor Used in Road Traffic. An Experimental Study. In 2014 IEEE 12th I ternational Symposium on Applied Machine Intelligence and Informatics (SAMI). https://doi.org/10.1109/SAMI.2014.6822390

Hogema, J. A., & Brouwer, R. F. T. (1999). Inschatting van gedragseffecten van dynamische rijbaanindelingen. Soesterberg: TNO Technische Menskunde.

Karim, A., & Adeli, H. (2003). Radial Basis Function Neural Network for Work Zone Capacity and Queue Estimation. Journal of Transportation Engineering, 129(5), 494–503. https://doi.org/10.1061/(ASCE)0733-947X(2003)129:5(494)

Kwoczek, S., Di Martino, S., & Nejdl, W. (2014). Predicting and Visualizing Traffic Congestion in the Presence of Planned Special Events. Journal of Visual Languages and Computing, 25(6), 973–980. https://doi.org/10.1016/j. jvlc.2014.10.028

Leilei, D., Jin-Gang, G., Zheng-Liang, S., & Hong-Tong, Q. (2012). Study on Traffic Organization and Management Strategies for Large Special Events. In International Conference on System Science and Engineering (ICSSE) (pp. 432–436). https://doi.org/10.1109/ICSSE.2012.6257222

Lithuanian Official Statistics Portal. (n. d.). Available https://www.stat.gov.lt/en [Accessed: 10 February 2020].

Marchesini, P., & Weijermars, W. (2010). The Relationship Between Road Safety and Congestion on Motorways. SWOV Inst. Road Saf. Res.

Maze, T., & Bortle, M. (2005). Optimizing Work Zone Road Closure Capacity. Ames, Iowa, United Stated of America: Center for Transportation Research and Education Iowa State University.

Ortiz, L. A. (2014). Highway Work Zone Capacity Estimation Using Field Data From Kansas (Doctoral dissertation, Kansas State University).

Rietveld, P., & Shefer, D. (1994). Congestion and Safety on Highways: Towards an Analytical Model. In Proceedings of the Third International Conference on Safety and the Environment in the 21st Century.

Skrodenis, D. (2019). Road Traffic Management During Special Events. In A. Varhelyi, V. Žuraulis, O. Prentkovskis (Eds.), Vision Zero for Sustainable Road Safety in Baltic Sea Region (pp. 104–109). https://doi.org/10.1007/978-3-030-22375-5

Strömgren, P., & Olstam, J. (2016). A Model for Capacity Reduction at Roadwork Zone. Transportation Research Procedia, 15, 245–256. https://doi.org/10.1016/j.trpro.2016.06.021

Trafikverket. (2014). Kapitel 2 Motorvägar. In TRVMB Kapacitet och framkomlighetseffekter – Trafikverkets metodbeskrivning för beräkning av kapacitet och framkomlighetseffekter I vägtrafikanläggningar. TRV 2013:64343, Borlänge, Sweden.

Trafikverket. (2015). Effektsamband för vägtransportsystemet, Bygga om eller bygga nytt. Version 2015-04-01. Borlänge, Sweden.

Transportation Research Board. (2016). Freeway and Highway Segments: Supplemental. In Highway Capacity Manual. A Guide for Multimodal Mobility Analysis (6th ed.). Washington D.C.: Transportation Research Board.

Ullman, G. L., Porter, R. J., & Karkee, G. J. (2009). Monitoring Work Zone Safety and Mobility Impacts in Texas. Texas Transportation Institute, The Texas A&M University System.

Vejdirektoratet. (2010). Vejregel, Trafikteknik, Kapacitet og Serviceniveau.

Weinspach, K. (1988). Verkehrssicherheit und Verkehrsablauf im Bereich von Baustellen auf Betriebsstrecken der Bundesautobahnen, Strasse und Autobahn, 257–265.

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Published

21.06.2021

How to Cite

Skrodenis, D., Čygas, D., Pakalnis, A., & Kairys, A. (2021). Traffic Management Solutions at Roadwork Zones During Planned Special Events. The Baltic Journal of Road and Bridge Engineering, 16(2), 30-47. https://doi.org/10.7250/bjrbe.2021-16.522