Effects of Weather Conditions on Motorway Lane Flow Distributions

  • Robert Rijavec University of Ljubljana, Faculty of Civil and Geodetic Engineering
  • Darja Šemrov
Keywords: motorway traffic control, lane flow distribution, lane speed distribution, weather conditions,

Abstract

Several factors affect the lane choices made by motorway drivers. According to the driving rules, the nearside lane is the one that is primarily used. The main reasons for lane changes are overtaking, congestion, or restrictions on other lanes. The empirical research presented in this paper presents comprehensive traffic characteristics observed in different traffic lanes on four-lane motorways in Slovenia. The research was focused on the influence of adverse weather conditions on the lane flow distribution, and on the speed of vehicles in different lanes. The lane flow and speed distributions both directly affect road capacity and safety; therefore, estimating these characteristics could improve the reliability of active traffic control when traffic flow perturbation is detected. Field test results show that lane flow distributions and lane speed distributions at a particular site vary depending on weather conditions, namely, dry, wet (rain), low-visibility, and snow conditions.

Author Biographiesaaa replica rolex repwatches replica rolex watches for men replica iwc watch

Robert Rijavec, University of Ljubljana, Faculty of Civil and Geodetic Engineering
Traffic Technical Institute, Senior Lecturer,ITS Slovenia, president
Darja Šemrov
Traffic Technical Institute, Asistant

References

HCM 2010: Highway capacity manual. Fifth edition. Washington, D.C.: Transportation Research Board; 2010.

Calvert SC, Snelder M. Influence of rain on motorway road capacity - A data-driven analysis. In: Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013); 2013.

Weng J, Liu L, Rong J. Impacts of Snowy Weather Conditions on Expressway Traffic Flow Characteristics. Discrete Dynamics in Nature and Society. 2013;2013: 6p.

Aaheim HA, Hauge KE. Impacts of climate change on travel habits - A national assessment based on individual choices. CICERO Report 2005:07, 2005. Available from: https://brage.bibsys.no/xmlui/bitstream/handle/11250/191992/CICERO_Report_2005-07.pdf?sequence=1&isAllowed=y [cited Mar 24th 2017].

Grabec I, Kalcher K, Švegl F. Modeling and Forecasting of Traffic Flow. Nonlinear Phenom Complex Syst. 2010;13(1): 53-63.

Knoop VL, Duret A, Buisson C, Van Arem B. Lane distribution of traffic near merging zones influence of variable speed limits. In: Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems; 2010.

Hoseini SMS. Comparison of microscopic drivers’ probabilistic lane-changing models with real traffic microscopic data. Promet – Traffic & Transportation. 2011;23(4): 241-251.

Wall G, Hounsell N. Microscopic modelling of motorway diverges. European Journal of Transport and Infrastructure Research. 2005;5(3): 139-58.

Pompigna A, Rupi F. Differences between HCM procedures and fundamental diagram calibration for operational loss assessment on Italian freeways. Transportation Research Procedia. 2015;5: 103-118.

Li L, Wang F-Y. The automated lane-changing model of intelligent vehicle highway systems. In: Proceedings of the IEEE 5th International Conference on Intelligent Transportation Systems; 2002.

Wu N. Impact of traffic regulation on lane flow – distribution and capacity of motorways. In: Proceedings of the 5th International Conference of Transportation Professionals, At Xian, China; 2005.

Daganzo CF. A behavioural theory of multi-lane traffic flow. Part I: Long homogeneous freeway sections. Transportation Research Part B: Methodological. 2002;36(2): 131-158.

Wu N. Equilibrium of Lane Flow Distribution on Motorways. Transportation Research Record: Journal of the Transportation Research Board. 2006;1965: 48-59.

Heidemann D. Distribution of traffic to the individual lanes on multilane unidirectional roadways. In: Proceedings of the second international symposium on highway capacity; 1994.

Ibrahim AT, Hall FL. Effect of adverse weather conditions on speed – flow occupancy relationships. Transportation Research Record. 1994;1457: 184-191.

Billot R. Weather Impacts on Traffic: From Data to Models [presentation]. In: COST Final Seminar, Helsinki; 2011. Available from: http://www.sirwec2012.fi/Cost/S4_2A_Billot.pdf [cited 2017 Mar 24].

Hablas H. A Study of Inclement Weather Impacts on Freeway Free-Flow Speed. Master Thesis. Faculty of the Virginia Polytechnic Institute, Virginia; 2007. Available from: https://theses.lib.vt.edu/theses/available/etd-07032007-102318/unrestricted/Hablas.pdf [cited 2017 Mar 24].

Agarwal M, Maze TH, Souleyrette R. Impacts of Weather on Urban Freeway Traffic Flow Characteristics and Facility Capacity. In: Proceedings of the 2005 Mid-Continent Transportation Research Symposium; 2005. Available from: http://www.ctre.iastate.edu/pubs/midcon2005/AgarwalWeather.pdf [cited 2017 Mar 24].

Kompan R. Vpliv hitrosti vozil na prometno varnost pri različni intenziteti dežnih padavin. Graduation Thesis. Faculty of Faculty of Maritime Studies and Transport, Portorož; 2010.

Golob TF, Recker W, Pavlis Y. Probabilistic models of freeway safety performance using traffic flow data as predictors. Safety Science. 2008;46(9): 1306-1333.

Lee C, Hellinga B, Saccomanno F. Real-Time Crash Prediction Model for Application to Crash Prevention in Freeway Traffic. Transportation Research Record: Journal of the Transportation Research Board. 2003;1840: 67-77.

Abdel-Aty M, Pande A. Identifying crash propensity using specific traffic speed conditions. Journal of Safety Research. 2005;36(1): 97-108.

Zorin U, Rijavec R, Pirc J, Gostiša B, Gorup S. Functional ITS on Slovenian motorways. In: Proceedings of ITS World Congress; 2012.

Strnad I, Kramar Fijavž M, Žura M. Numerical optimal control method for shockwaves reduction at stationary bottlenecks. Journal of advanced transportation. 2016;50(5): 841-856.

DARS d.d. Smernice za sistem nadzora in vodenja prometa na avtocestah v RS; 2004.

Christian R, Maximilan L, Dietmar B, Roland A, Werner B, Knud K. Influence of weather on transport demand: a case study from the Vienna region. Transportation Research Record: Journal of the Transportation Research Board. 2015;2482.

Xiao C, Shao C, Meng M, Wang P, Wang B. Lane Flow Distribution of a Long Continuous Highway. European Transport. 2014. Available from: http://www.istiee.org/te/papers/N56/P06_56_12_2014.pdf [cited

Mar 24].

Drake JS, Schofer JL, May AD. A Statistical Analysis of Speed Density Hypotheses. Highway Research Record. 1967;(154): 53-87.

Lee J, Park BB. Determining Lane Use Distributions Using Basic Freeway Segment Density Measures. Journal of Transportation Engineering. 2012;138(2): 210-217.

Faheem H, Hashim IH. Analysis of Traffic Characteristics at Multi-lane Divided Highways, Case Study from Cairo-Aswan Agriculture Highway. International Refereed Journal of Engineering and Science. 2014;3(1): 58-65.

Published
2018-03-01
How to Cite
1.
Rijavec R, Šemrov D. Effects of Weather Conditions on Motorway Lane Flow Distributions. Promet [Internet]. 2018Mar.1 [cited 2024Apr.18];30(1):83-2. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/2521
Section
Articles