Modeling of Effective Parameters for Capacity Prediction at Signalized Intersection Lanes
DOI:
https://doi.org/10.7250/bjrbe.2022-17.578Keywords:
artificial bee colony algorithm, lane-based capacity estimation, ordinary least squares regression, traffic volume, signalized intersectionAbstract
Current capacity manuals do not allow comprehensively evaluating negative effects on lane capacity caused by undisciplined vehicle movements and lane utilization, such as failure to obey distance rules, lane blockage caused by roadside parking effect, formation of an extra lane using in the emergency lane, etc., which are mostly observed in undeveloped and developing countries. Irregularities of the traffic flow caused by undisciplined movements and lane utilization result in decreased capacity or traffic change on the urban lanes. To overcome this problem, a lane-based study was carried out to determine the relation among effective parameters and their effect on lane capacity. In order to model the impact of these parameters, a comprehensive study was conducted in two cities in Turkey. Two different methods (statistical analysis and metaheuristic search algorithm) were used for this purpose and new more reasonable lane capacity estimation models (ALLCEM-1 and ALLCEM-2) were developed by examining all local conditions. The results proved that both examined methods are effective in modelling lane capacity of signalized intersections. It was also found that such parameters as the type of intersection (either a roundabout or not), effective green time, saturation flow rate, traffic volume, heavy vehicle ratio, and the number of actively used lanes have a major impact on the accuracy of prediction of road capacity.
References
Abidin, Z. (2007). Evaluating signalized intersection capacity based on Malaysian road conditions [Master’s Thesis, Universiti Sains Malaysia]. http://eprints.usm.my/8947/
Allen, D. P., Hummer, J.E., Rouphail, N. M., and Milazzo, J. S. (1998). Effect of bicycles on capacity of signalized intersections. Transportation Research Record, 1646(1), 87–95. https://doi.org/10.3141/1646-11
Asgharzadeh, M., and Kondyli, A. (2018). Comparison of highway capacity estimation methods. Transportation Research Record, 2672(15), 75–84. https://doi.org/10.1177/0361198118777602
Aydin, M. M. (2022). The modeling of effective parameters on public bus passengers’ boarding time prediction. Journal of Engineering Research, 10(1B), 1–15. https://doi.org/10.36909/jer.10079
Aydin, M. M., and Topal, A. (2016). Effect of road surface deformations on lateral lane utilization and longitudinal driving behaviours. Transport, 31(2), 192–201. https://doi.org/10.3846/16484142.2016.1193049
Aydin, M. M., and Topal, A. (2018). Effects of pavement surface deformations on lane-changing behaviours. Proceedings of the Institution of Civil Engineers – Transport, 171(3), 136–145. https://doi.org/10.1680/jtran.16.00040
Aydın, M. M., Aydoğdu, İ., and Yıldırım, M. S. (2022). Sinyalize kavşaklarda ülkelere göre gecikme ve kuyruk uzunluğu denklemleri geliştirilmesinin gerekliliği üzerine bir araştırma. Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 12(2), 1–15. https://doi.org/10.17714/gumusfenbil.997924
Ben-Edigbe, J. (2005). Influence of pavement distress on capacity loss and their implications for PCE (T11383) [Doctoral Dissertation, University of Strathclyde, Glasgow, UK]. https://stax.strath.ac.uk/concern/theses/p2676v61b
Clayton, A. J. H. (1941). Road traffic calculations. Journal of Institute of Civil Engineers. 16(7), 247–264. https://doi.org/10.1680/ijoti.1941.13660
Grigonis, V., Stanevičiūtė, I., & Dumbliauskas, V. (2020). Traffic reorganisation in large roundabouts of Vilnius and its influence on traffic safety. The Baltic Journal of Road and Bridge Engineering, 15(3), 47–59. https://doi.org/10.7250/bjrbe.2020-15.483
Gunay, B. (2004). An investigation of lane utilisation on Turkish highways. Proceedings of the Institution of Civil Engineers – Transport, 157(1), 43–49. https://doi.org/10.1680/tran.2004.157.1.43
Gunay, B. (2009). Rationality of a non-lane-based car-following theory. Proceedings of the Institution of Civil Engineers – Transport, 162(1), 27–37. https://doi.org/10.1680/tran.2009.162.1.27
Huang, R., Guo, M., Chen, S. K., and Liang, X. (2008). Modeling capacity of signalized intersections with congestion. Journal of Transportation Systems Engineering and Information Technology, 8(3), 58–65.
Ji, X., and Prevedouros, P. D. (2005). Comparison of methods for sensitivity and uncertainty analysis of signalized intersections analyzed with the highway capacity manual. Transportation Research Record, 1920(1), 56–64. https://doi.org/10.1177/0361198105192000107
Jing, C.G., and Wang, D.H. (2004). Analysis and dealing method to conflict of mixed traffic at typical intersection. China Civil Engineering Journal, 37(6), 97–100.
Jovanović, A., Nikolić, M., and Teodorović, D. (2017). Area-wide urban traffic control: a bee colony optimization approach. Transportation Research Part C: Emerging Technologies, 77, 329–350. https://doi.org/10.1016/j.trc.2017.02.006
Li, J. (2011). Discretization modeling, integer programming formulations and dynamic programming algorithms for robust traffic signal timing. Transportation Research Part C: Emerging Technologies, 19(4), 708–719. https://doi.org/10.1016/j.trc.2010.12.009
Lindsey, R., Daniel, T., Gisches, E., and Rapoport, A. (2014). Pre-trip information and route-choice decisions with stochastic travel conditions: Theory. Transportation Research Part B - Methodological, 67, 187–207. https://doi.org/10.1016/j.trb.2014.05.006
Mert, M. (2016). Yatay kesit very analizi bilgisayar uygulamaları. Ankara: Detay Yayıncılık, 405p (In Turkish).
Ma, W., Liu, Y., Zhao, J., and Wu, N. (2017). Increasing the capacity of signalized intersections with left-turn waiting areas. Transportation Research Part A: Policy and Practice, 105, 181–196. https://doi.org/10.1016/j.tra.2017.08.021
McGhee, C. C., and Arnold, Jr. E. D. (1997). Review and evaluation of methods for analyzing capacity at signalized intersections. Transportation Research Record, 1572(1), 160–166. https://doi.org/10.3141/1572-19
Miller, A.J. (1968). Australian road capacity guide provisional introduction and signalized intersections. Australian road research board, Bulletin 4. Vermont South, Australia.
Minderhoud, M. M., Botma, H., and Bovy, P. H. (1997). Assessment of roadway capacity estimation methods. Transportation Research Record, 1572(1), 59–67. https://doi.org/10.3141/1572-08
MOM. (2006). Malaysia highway capacity manual. Highway planning unit. Ministry of Works Malaysia.
Rahman, M. M., Hasan, T., and Nakamura, F. (2008). Development of professional driver adjustment factors for the capacity analysis of signalized intersections. Journal of Transportation Engineering, 134(12), 532–536. https://doi.org/10.1061/(ASCE)0733-947X(2008)134:12(532)
Tang, T. Q., Li, P., and Yang, X. B. (2013). An extended macro model for traffic flow with consideration of multi static bottlenecks. Physica A: Statistical Mechanics and Its Applications, 392(17), 3537–3545. https://doi.org/10.1016/j.physa.2013.03.056
Tenekeci, G., Wainaina, S., Askew, I., and Mohammad, A. (2014). Sustainable operational lane capacity for highways. Proceedings of the Institution of Civil Engineers-Transport, 167(1), 36–47. https://doi.org/10.1680/tran.9.00052
Teply, S., Allingham, D. I., Richardson, D. B., and Stephenson, B. W. (2008). Canadian capacity guide for signalized intersections (2nd ed.). Institute of Transportation Engineers.
Tian, Z. Z., and Wu, N. (2006). Probabilistic model for signalized intersection capacity with a short right-turn lane. Journal of Transportation Engineering, 132(3), 205–212. https://doi.org/10.1061/(ASCE)0733-947X(2006)132:3(205)
TRB. (2000). Highway Capacity Manual. Transportation Research Board, National Research Council, Washington D.C., U.S.A.
TRB. (2010). Highway capacity manual. Transportation Research Board, National Research Council, Washington D.C., U.S.A.
TRB. (2016). Highway Capacity Manual. A guide for multimodal mobility analysis (6th ed.). Transportation Research Board, National Research Council, Washington, D.C., U.S.A.
Troutbeck, R. J., and Akcelik, R. (1994). Capacity research and applications in Australia. In R. Akcelik & W. Reilly (Eds.), Second International Symposium on Highway Capacity - Country Reports, Australian Road Research Board (pp. 1–18).
Wang, J., Mao, Y., Li, J., Xiong, Z., and Wang, W. X. (2015). Predictability of road traffic and congestion in urban areas. PloS One, 10(4), Article e0121825. https://doi.org/10.1371/journal.pone.0121825
Wardrop, J. (1952). Some theoretical aspect of road traffic research. Proceedings Institute Civil Engineers Part II, 1(3), 325–378. https://doi.org/10.1680/ipeds.1952.11259
Webster, F. V., and Cobbe, B. (1966). Traffic signals (Road research technical paper No. 56). Her Majesty’s Stationery Office.
Yang, X. G., Zhao, J., and Yu, X. F. (2008). Impact of upstream weaving segment on signalized intersection capacity. 2008 International Conference on Intelligent Computation Technology and Automation (ICICTA), Changsha, China, 2, 377–382. https://doi.org/10.1109/ICICTA.2008.422
Yoassry, M. E., and Benekohal, R. F. (2000). Comparison of the 1994 and the 1997 HCM delay models for pre-timed under saturated intersections. 79th TRB Annual Meeting.
Zhao, J., Ma, W., Zhang, H. M., and Yang, X. (2013). Increasing the capacity of signalized intersections with dynamic use of exit lanes for left-turn traffic. Transportation Research Record, 2355(1), 49–59. https://doi.org/10.3141/2355-06
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Metin Mutlu Aydin
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
