Optimal Weaving Lengths for Improved Traffic Flow Efficiency on Urban Arterial Roads: Case Study, Sulaymaniyah City, Kurdistan Region, Iraq
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Abstract
Efficient design of weaving sections is critical for maintaining smooth traffic flow on urban arterial roads. This study investigates optimal weaving lengths (WL) for improving traffic flow efficiency using two weaving sections located on Malik Mahmud Ring Road in Sulaymaniyah City, Kurdistan Region, Iraq, as a case study. Traffic and geometric data were collected through drone footage and processed using data from Sky Viewer to extract detailed vehicle trajectories. A calibrated and validated microsimulation model was developed in PTV VISSIM 2024 to replicate real-world traffic conditions. A full factorial experimental design tested the effects of WL, mainline traffic volume, and weaving volume on section performance. The results demonstrated that WL significantly influences both capacity and level of service (LOS). Shorter sections constrained lane-changing maneuvers, while longer sections enhanced throughput and improved LOS; however, excessive length beyond 750 m for Section A and 350 m for Section B yielded diminishing returns. Regression analysis confirmed that the interaction between WL and volume ratio (VR) positively and significantly affected capacity, while higher VRs independently reduced efficiency. Section A achieved a stronger model fit (R² = 0.771) compared to Section B (R² = 0.650), reflecting site-specific geometric and traffic characteristics. The findings suggest that WLs of approximately 750 m for Section A and 350 m for Section B represent optimal design values for balancing roadway capacity and operational efficiency. This research provides a methodological framework for capacity estimation in weaving sections and offers practical insights for transportation planners and engineers in developing urban contexts.
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Al Barznji, B.T.T., and Majid, H.M., 2025. Comprehensive review and future directions in the analysis and optimization of weaving areas on urban arterial roads. Current Problems in Research, 1(1), pp. 1-25. https://doi.org/10.70028/cpir.v1i1.18.
Alessandretti, L., Natera Orozco, L.G., Saberi, M., Szell, M., and Battiston, F., 2023. Multimodal urban mobility and multilayer transport networks. Environment and Planning B: Urban Analytics and City Science, 50(8), pp. 2038-2070. https://doi.org/10.1177/23998083221108190.
Anas, A., and Lindsey, R., 2011. Reducing urban road transportation externalities: Road pricing in theory and in practice. Review of Environmental Economics and Policy. https://doi.org/10.1093/reep/req019.
Berk, K.N., and Carey, P., 2000. Data Analysis with Microsoft Excel. Duxbury Press Pacific Grove, CA.
Boxill, S.A., and Yu, L., 2000. An evaluation of traffic simulation models for supporting its. Houston, TX: Development Centre for Transportation Training and Research, Texas Southern University, P. 25.
Dhar, P. 2023. Scientists are engineering Asphalt that is safer for humans and the environment. ACS Publications.
Di Bernardino, A., Monti, P., Leuzzi, G., and Querzoli, G., 2015. Water-channel study of flow and turbulence past a two-dimensional array of obstacles. Boundary-Layer Meteorology, 155(1), pp. 73-85.
Dowling, R., Skabardonis, A., and Alexiadis, V., 2004. Traffic analysis toolbox, volume III: Guidelines for applying traffic microsimulation modeling software. United States. Federal Highway Administration. Office of Operations.
Feng, T., Liu, K., and Liang, C., 2023. An improved cellular automata traffic flow model considering driving styles. Sustainability, 15(2), P. 952. https://doi.org/10.3390/su15020952.
Franco, S., Lindsay, A., Vallati, M., and McCluskey, T.L., Year. An innovative heuristic for planning-based urban traffic control. In Computational Science–ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I 18, pp. 181-193. Springer.
Giest, S., and Samuels, A., 2020. ‘For good measure’: data gaps in a big data world. Policy Sciences, 53(3), pp. 559-569.
Guzek, M., Jurecki, R.S., and Wach, W. 2022. Vehicle and traffic safety. MDPI. 4573.
Hancock, M.W. and Wright, B., 2013. A policy on geometric design of highways and streets. American Association of State Highway and Transportation Officials: Washington, DC, USA, 3, p. 20.
Hess, P., Piper, M., and Sorensen, A., 2023. Can we retrofit suburban arterials? analyzing the walkability and retrofit potential of four toronto region corridors. Journal of the American Planning Association, 89(1), pp. 16-30.
https://doi.org/10.1080/01944363.2022.2033637.
Iamtrakul, P., Chayphong, S., and Mateo-Babiano, D., 2023. The transition of land use and road safety studies: a systematic literature review (2000–2021). Sustainability, 15(11), P. 8894. https://doi.org/10.3390/su15118894.
Keane, R., and Gao, H.O., 2021. A formulation of the relaxation phenomenon for lane changing dynamics in an arbitrary car following model. Transportation Research Part C: Emerging Technologies, 125, P. 103081. https://doi.org/10.1016/j.trc.2021.103081.
Kerner, B.S., 2015. Microscopic theory of traffic-flow instability governing traffic breakdown at highway bottlenecks: Growing wave of increase in speed in synchronized flow. Physical Review E, 92(6), P. 062827. https://doi.org/10.1103/PhysRevE.92.062827.
Lampo, A., Borge-Holthoefer, J., Gómez, S., and Solé-Ribalta, A., 2021. Emergence of spatial transitions in urban congestion dynamics. Applied Network Science, 6(1), P. 41.
Laurent-Brouty, N., Keimer, A., Goatin, P., and Bayen, A.M., 2020. A macroscopic traffic flow model with finite buffers on networks: Well-posedness by means of Hamilton-Jacobi equations. Communications in Mathematical Sciences, 18(6), pp. 1569-1604. https://dx.doi.org/10.4310/CMS.2020.v18.n6.a4.
Leclercq, L., Ladino, A., and Becarie, C., 2021. Enforcing optimal routing through dynamic avoidance maps. Transportation Research Part B: Methodological, 149, pp. 118-137. https://doi.org/10.1016/j.trb.2021.05.002.
Loo, B.P., and Tsoi, K.H., 2022. Road safety strategies necessary in the second Decade of Road Safety. Journal of Global Health, 12, P. 03081. https://doi.org/10.7189/jogh.12.03081.
Manual, H.C., 2022. Highway capacity manual. Washington, DC, 2(1), P. 1.
Morency, P., Strauss, J., Pépin, F., Tessier, F., and Grondines, J., 2018. Traveling by bus instead of car on urban major roads: safety benefits for vehicle occupants, pedestrians, and cyclists. Journal of Urban Health, 95, pp. 196-207.
Olmos, L.E., Çolak, S., Shafiei, S., Saberi, M., and González, M.C., 2018. Macroscopic dynamics and the collapse of urban traffic. Proceedings of the National Academy of Sciences, 115(50), pp. 12654-12661. https://doi.org/10.1073/pnas.1800474115.
Paes, V.d.C., Pessoa, C.H.M., Pagliusi, R.P., Barbosa, C.E., Argôlo, M., de Lima, Y.O., Salazar, H., Lyra, A., and de Souza, J.M., 2023. Analyzing the challenges for future smart and sustainable cities. Sustainability, 15(10), P. 7996. https://doi.org/10.3390/su15107996.
Petracca, L.S., and Frair, J.L., 2017. When methodological flaws limit inference: A response to Caruso et al. Oryx, 51(2), pp. 208-208. https://doi.org/10.1017/S0030605316000788.
Schilperoort, L., McClanahan, D., Shank, R., and Bjordahl, M., 2014. Protocol for VISSIM simulation. Washington State Department of Transportation: Washington, DC, USA.
Taillanter, E., and Barthelemy, M., 2023. Evolution of road infrastructure in large urban areas. Physical Review E, 107(3), P. 034304. https://doi.org/10.1103/PhysRevE.107.034304.
Yu, L., Zhang, Z., Li, J., Ma, J., and Wang, Y., 2023. A multi-objective roadside unit deployment model for an urban vehicular ad hoc network. ISPRS International Journal of Geo-Information, 12(7), P. 262. https://doi.org/10.3390/ijgi12070262.
Zhao, X., Hu, L., Wang, X., and Wu, J., 2022. Study on identification and prevention of traffic congestion zones considering resilience-vulnerability of urban transportation systems. Sustainability, 14(24), P. 16907. https://doi.org/10.3390/su142416907.
