Investigating the Performance of Metering Methods in Managing Unbalanced Roundabouts Using VISSIM
Article Sidebar
Main Article Content
Abstract
Unbalanced roundabouts often face higher traffic volumes on certain approaches, leading to congestion and delays. Metering signals can help reduce delays, manage queues, and optimize performance. This study evaluates the effectiveness of metering signals in improving traffic flow at unbalanced roundabouts using VISSIM simulation software. The study focuses on identifying optimal detector placements to minimize delays and queues. Results showed that at 4:30 pm, both the North and West Lanes had LOS F, but after introducing signals at the South Lane and optimizing detector placement at 240 meters, the West Lane improved to LOS D and the North Lane to LOS B. At noon, the West Lane initially had LOS F. Still, with signal control adjustments at the 350-meter detector, it improved to LOS D. Emissions and fuel consumption also decreased in the South and East Lanes, demonstrating that metering signals can significantly enhance roundabout performance. This study was limited by using a student version of VISSIM, which restricted signal control to a 2-stage system.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
United Nations https://www.un.org/development/desa/en/news/population/2018-revision-of-world-urbanization-prospects.html (accessed August 28, 2024).
Angel, S.; Parent, J.; Civco, D. L.; Blei, A.; Potere, D. The Dimensions of Global Urban Expansion: Estimates and Projections for All Countries, 2000–2050. Prog Plann, 2011, 75(2), 53–107. https://doi.org/10.1016/j.progress.2011.04.001.
Kundu, D.; Pandey, A. K. World Urbanisation: Trends and Patterns. Developing national urban policies: Ways forward to green and smart cities, 2020, 13–49. https://doi.org/10.1007/978-981-15-3738-72.
HARVARD T.H CHAN https://www.hsph.harvard.edu/news/hsph-in-the-news/air-pollution-traffic-levy-von-stackelberg/ (accessed August 28, 2024).
World Health Organization REGIONAL OFFICE FOR Europe https://who-sandbox.squiz.cloud/en/health-topics/environment-and-health/air-quality/data-and-statistics (accessed August 28, 2024).
Akçelik, R. Roundabouts with Unbalanced Flow Patterns. In ITE 2004 Annual Meeting, 2004, 41.
Martin-Gasulla, M.; García, A.; Moreno, A. T. Benefits of Metering Signals at Roundabouts with Unbalanced Flow: Patterns in Spain. Transp Res Rec, 2016, 2585(1), 20–28. https://doi.org/10.3141/2585-03.
Duan, Y.; Qu, X.; Easa, S.; Yan, Y. Optimising Total Entry Delay at Roundabouts with Unbalanced Flow: A Dynamic Strategy for Smart Metering. IET Intelligent Transport Systems, 2019, 13(3), 485–494.
An, H. K.; Bae, G.; Kim, D. S. Study of Full Controlled Green Time Roundabouts–An Intelligent Approach. Promet-Traffic&Transportation, 2023, 35(2), 212–229.
Akçelik, R. Capacity and Performance Analysis of Roundabout Metering Signals. In TRB National Roundabout Conference, Vail, Colorado, USA; 2005, 22–25.
Akçelik, R. Roundabout Metering Signals: Capacity, Performance and Timing. Procedia-Social and Behavioral Sciences, 2011, 16, 686–696. https://doi.org/10.1016/j.sbspro.2011.04.488.
Martin-Gasulla, M.; Garcia, A.; Moreno, A. T.; Llorca, C. Capacity and Operational Improvements of Metering Roundabouts in Spain. Transportation research procedia, 2016, 15, 295–307. https://doi.org/10.1016/j.trpro.2016.06.025.
Sun, X.; Ma, W.; Huang, W. Comparative Study on the Capacity of a Signalised Roundabout. IET Intelligent Transport Systems, 2016, 10(3), 175–185. https://doi.org/10.1016/j.trpro.2016.06.025
Adegbaju, O. A. Establishing Delay-Based Criteria for Installing Traffic Signals at Two-Lane Roundabouts. 2018.
An, H. K.; Yue, W. L.; Stazic, B. Estimation of Vehicle Queuing Lengths at Metering Roundabouts. Journal of Traffic and Transportation Engineering (English Edition), 2017, 4(6), 545–554. https://doi.org/10.1016/j.jtte.2017.04.002.
An, H. K.; Abdalla, A. N. Prediction of Queuing Length at Metering Roundabout Using Adaptive Neuro Fuzzy Inference System. Measurement and Control, 2019, 52(5–6), 432–440. https://doi.org/10.1177/0020294019839415.
Osei, K. K.; Adams, C. A.; Ackaah, W.; Oliver-Commey, Y. Signalization Options to Improve Capacity and Delay at Roundabouts through Microsimulation Approach: A Case Study on Arterial Roadways in Ghana. Journal of Traffic and Transportation Engineering (English Edition), 2021, 8(1), 70–82. https://doi.org/10.1016/j.jtte.2019.06.003.
Vichova, K.; Heinzova, R.; Dvoracek, R.; Tomastik, M. Optimization of Traffic Situation Using Roundabouts. Transportation research procedia, 2021, 55, 1244–1250. https://doi.org/10.1016/j.trpro.2021.07.106.
An, H. K.; Liu, Y.; Kim, D. S. Operational Optimization at Signalized Metering Roundabouts Using Cuckoo Search/Local Search Algorithm. Measurement and Control, 2022, 55(9–10), 1110–1123. https://doi.org/10.1177/00202940221101895.
Kabit, M. R.; Chiew, W. Y.; Chai, A.; Tirau, L. S.; Bujang, Z. Evaluating the Effects of Signal Control Applications on Roundabout’s LOS Performance Using VISSIM Microsimulation Model. International Journal of Integrated Engineering, 2023, 15(6), 13–22. https://doi.org/10.30880/ijie.2023.15.06.002.
Assolie, A. A.; Sukor, N. S. A.; Khliefat, I.; Abd Manan, T. S. B. Modeling of Queue Detector Location at Signalized Roundabouts via VISSIM Micro-Simulation Software in Amman City, Jordan. Sustainability, 2023, 15(11), 8451. https://doi.org/10.3390/su15118451
Abdullah, M. S.; Sanik, M. E.; Nor, A. H. M.; Salim, S.; Malek, K. Z. A.; Razali, N. F.; Nasir, A. Z. M. Reliability of 15-Minute Drone Footage Volume for Estimating Urban Traffic Flow Rates: A Preliminary Study. In IOP Conference Series: Earth and Environmental Science; IOP Publishing, 2022, 1022, 012022.
Du, Y.; Zhao, C.; Li, F.; Yang, X. An Open Data Platform for Traffic Parameters Measurement via Multirotor Unmanned Aerial Vehicles Video. J Adv Transp, 2017, 2017(1), 8324301. https://doi.org/10.1155/2017/8324301.
Lee, M.-Y.; Park, J.-J.; Jin, T.-H.; Ha, T.-J. Establishment of Traffic Information Image Collection System Using Drones. KSCE Journal of Civil and Environmental Engineering Research, 2020, 40(4), 401–408. https://doi.org/10.12652/Ksce.2020.40.4.0401.
Krogscheepers, J. C.; Roebuck, C. S. Unbalanced Traffic Volumes at Roundabouts. In Fourth International Symposium on Highway Capacity, Transportation Research Circular E-C018, 2000, 446–458.
Assolie, A. A.; Sukor, N. S. A.; Khliefat, I.; Abd Manan, T. S. B. Modeling of Queue Detector Location at Signalized Roundabouts via VISSIM Micro-Simulation Software in Amman City, Jordan. Sustainability, 2023, 15(11), 8451. https://doi.org/10.3390/su15118451.
Rathnayake, I.; Amarasinghe, N.; Wickramasinghe, V.; Liyanage, K. Queue Length Prediction at Un-Signalized Intersections with Heterogeneous Traffic Conditions. 2022. http://rda.sliit.lk/handle/123456789/3005.
Kan, X. D.; Ramezani, H.; Benekohal, R. F. Calibration of VISSIM for Freeway Work Zones with Time-Varying Capacity; 2014.
Mehar, A.; Chandra, S.; Velmurugan, S. Highway Capacity through Vissim Calibrated for Mixed Traffic Conditions. KSCE journal of Civil Engineering, 2014, 18, 639–645. https://doi.org/10.1007/s12205-014-0440-3.
Othayoth, D.; Rao, K. V. K.; Bhavathrathan, B. K. Perceived Level of Service at Signalized Intersections under Heterogeneous Traffic Conditions. Transportmetrica A: transport science, 2020, 16(3), 1294–1309. https://doi.org/10.1080/23249935.2020.1737270.
Alkaissi, Z. A. Effect of Signal Coordination on the Traffic Operation of Urban Corridor. Tikrit Journal of Engineering Sciences, 2023, 30(1), 12–24. http://doi.org/10.25130/tjes.30.1.2.
Kwak, J.; Park, B.; Lee, J. Evaluating the Impacts of Urban Corridor Traffic Signal Optimization on Vehicle Emissions and Fuel Consumption. Transportation Planning and Technology, 2012, 35(2), 145–160. https://doi.org/10.1080/03081060.2011.651877.
Zhang, X.; Fang, S.; Shen, Y.; Yuan, X.; Lu, Z. Hierarchical Velocity Optimization for Connected Automated Vehicles with Cellular Vehicle-to-Everything Communication at Continuous Signalized Intersections. IEEE Transactions on Intelligent Transportation Systems, 2023, 25(3), 2944–2955. https://doi.org/10.1109/TITS.2023.3274580.
Wu, A.; Yang, X. Real-Time Queue Length Estimation of Signalized Intersections Based on RFID Data. Procedia-Social and Behavioral Sciences, 2013, 96, 1477–1484. https://doi.org/10.1016/j.sbspro.2013.08.168.
Chang, J.; Talas, M.; Muthuswamy, S. Simple Methodology for Estimating Queue Lengths at Signalized Intersections Using Detector Data. Transp Res Rec, 2013, 2355(1), 31–38. https://doi.org/10.3141/2355-04.
Gopalakrishnan, A.; Ram, S.; Sarkar, P. K. Development of Composite Level of Service for Signalized Intersections Under Heterogeneous Traffic Conditions. Transportation in Developing Economies, 2019, 5(2), 19. https://doi.org/10.1007/s40890-019-0087-3.
Saha, A.; Chandra, S.; Ghosh, I. Assessment of Level of Service for Urban Signalized Intersections in India. Curr Sci, 2019, 117(9), 1516–1521. https://www.jstor.org/stable/27138489.
Li, X.; Sun, J.-Q. Turning-Lane and Signal Optimization at Intersections with Multiple Objectives. Engineering Optimization, 2019, 51(3), 484–502. https://doi.org/10.1080/0305215X.2018.1472250.