Calibrating and Validation Microscopic Traffic Simulation Models VISSIM for Enhanced Highway Capacity Planning

Document Type : Original Article

Authors

1 Department of Civil Engineering, Universitas Muslim Indonesia, Makassar, Indonesia

2 Department of Civil and Planning Engineering Education, Universitas Negeri Makassar, Makassar, Indonesia

Abstract

This research aims to calibrate and validate the VISSIM simulation model tool by comparing field data with simulation data. The ultimate goal is to evaluate traffic performance by comparing simulation results with direct observations in the field. This study uses modeling to determine a road segment's maximum flow volume. This study was conducted in Makassar, South Sulawesi, Indonesia, on Jalan Veteran Selatan. The method uses two main inputs: urban road primary capacity data from the Indonesian Highway Capacity Manual (IHCM 1997) and roadside activity data from PTV VISSIM. The GEH and MAPE have commonly used metrics for measuring the accuracy of simulation models and calibration measurements using driving behavior parameters. The research results obtained for validation measurements have met the requirements. Namely, the obtained MEPE value (7.38%) is 10% smaller than the obtained GEH value (2.032 and 3.961), which is still more than 5.00. The calibration measurements obtained the suitability of the vehicle location and intervehicle spacing in the simulation model (VISSIM) with the actual field conditions. The results obtained from using VISSIM can be reliable and helpful in designing and optimizing urban transportation systems in the future. It is essential to remember that traffic simulation with VISSIM is only a transportation decision-making and planning tool and must be combined with field observations and accurate data for adequate and efficient transportation solutions.

Keywords

Main Subjects

References

  1. Steiner, F. R., Butler, K., and American Planning Association. Planning and urban design standards. John Wiley & Sons. 2012.
  2. Cox, P. Moving people: Sustainable transport development. Bloomsbury Publishing. 2010.
  3. Vasconcellos, E. A. “Urban Transport Environment and Equity: The case for developing countries.” Routledge. 2014.
  4. Banister, D. Unsustainable Transport: City Transport in the New Century. Taylor & Francis. 2005.
  5. Elmorssy, M., and Tezcan, H. O. “Application of discrete 3-level nested logit model in travel demand forecasting as an alternative to traditional 4-step model.” International Journal of Engineering, Transactions A: Basics, Vol. 32, No. 10, (2019), 1416-1428. https://doi.org/10.5829/ije.2019.32.10a.11
  6. Lu, J., Li, B., Li, H., and Al-Barakani, A. “Expansion of city scale, traffic modes, traffic congestion, and air pollution.” Cities, Vol. 108, (2021), 102974. https://doi.org/10.1016/j.cities. 2020.102974
  7. Armah, F. A., Yawson, D. O., and Pappoe, A. A. N. M. “A systems dynamics approach to explore traffic congestion and air pollution link in the city of Accra, Ghana.” Sustainability, Vol. 2, No. 1, (2010), 252-265. https://doi.org/10.3390/su2010252
  8. Dimitriou, H. T., and Gakenheimer, R. Urban transport in the developing world: A handbook of policy and practice. Massachusetts: Edward Elgar Publishing. 2011.
  9. Beaudoin, J., Farzin, Y. H., and Lawell, C.-Y. C. L. “Public transit investment and sustainable transportation: A review of studies of transit’s impact on traffic congestion and air quality.” Research in Transportation Economics, Vol. 52, , (2015), 15-22. https://doi.org/10.1016/j.retrec.2015.10.004
  10. Lei, Y., Hu, J., Fu, Y., Liu, Z., and Yan, B. “Simulation and Experimental Study of Vibration and Noise of Pure Electric Bus Transmission based on Finite Element and Boundary Element Methods.” International Journal of Engineering, Transactions A: Basics, Vol. 32, No. 7, (2019), 1023-1030. https://doi.org/10.5829/ije.2019.32.07 a.16
  11. Transportation Simulation Systems. AIMSUN 5.0 Microsimulator User Manual. Barcelona: Transportation Simulation Systems. 2005.
  12. Yang, Q., and Slavin, H. High fidelity, wide area traffic simulation model. Boston, USA: Caliper Corporation. 2002.
  13. US Department of Transportation. FHWA CORSIM User Manual. McLean, Virginia: US Department of Transportation. 1998.
  14. Salgado, D., Jolovic, D., Martin, P. T., and Aldrete, R. M. “Traffic microsimulation models assessment–a case study of international land port of entry.” In Procedia Computer Science, Vol. 83, 441-448, Elsevier. https://doi.org/10.1016/j.procs. 2016.04.207
  15. Hadi, M., Sinha, P., and Wang, A. “Modeling reductions in freeway capacity due to incidents in microscopic simulation models.” Transportation Research Record, Vol. 1999, No. 1, (2007), 62-68. https://doi.org/10.3141/1999-07
  16. Lin, D., Yang, X., and Gao, C. “VISSIM-based simulation analysis on road network of CBD in Beijing, China.” Procedia-Social and Behavioral Sciences, Vol. 96, (2013), 461-472. https://doi.org/j.sbspro.2013.08.054
  17. Bloomberg, L., and Dale, J. “Comparison of VISSIM and CORSIM traffic simulation models on a congested network.” Transportation Research Record, Vol. 1727, No. 1, (2000), 52-60. https://doi.org/10.3141/1727-07
  18. Sun, D. J., Zhang, L., and Chen, F. “Comparative study on simulation performances of CORSIM and VISSIM for urban street network.” Simulation Modelling Practice and Theory, Vol. 37, (2013), 18-29. https://doi.org/10.1016/j.simpat. 2013.05.007
  19. Saidallah, M., El Fergougui, A., and Elalaoui, A. E. “A comparative study of urban road traffic simulators.” In MATEC Web of Conferences, Vol. 81, EDP Sciences, 5002. https://doi.org/10.1051/matecconf/20168105002
  20. Habtemichael, F. G., and de Picado Santos, L. “The need for transition from macroscopic to microscopic traffic management schemes to improve safety and mobility.” Procedia-Social and Behavioral Sciences, Vol. 48, (2012), 3018-3029. https://doi.org/10.1016/j.sbspro.2012.06.1269
  21. Waddell, P. “UrbanSim: Modeling urban development for land use, transportation, and environmental planning.” Journal of the American Planning Association, Vol. 68, No. 3, (2002), 297-314. https://doi.org/10.1080/01944360208976274
  22. Litman, T. “Developing indicators for comprehensive and sustainable transport planning.” Transportation Research Record, Vol. 2017, No. 1, (2007), 10-15. https://doi.org/ 10.3141/2017-02
  23. Suh, W., Henclewood, D., Greenwood, A., Guin, A., Guensler, R., Hunter, M. P., and Fujimoto, R. “Modeling pedestrian crossing activities in an urban environment using microscopic traffic simulation.” Simulation, Vol. 89, No. 2, (2013), 213-224. https://doi.org/10.1177/0037549712469843
  24. Park, B., and Schneeberger, J. D. “Microscopic simulation model calibration and validation: case study of VISSIM simulation model for a coordinated actuated signal system.” Transportation Research Record, Vol. 1856, No. 1, (2003), 185-192. https://doi.org/10.3141/1856-20
  25. Mohan, R., Eldhose, S., and Manoharan, G. “Network-level heterogeneous traffic flow modelling in VISSIM.” Transportation in Developing Economies, Vol. 7, (2021), 1-17. https://doi.org/10.1007/s40890-021-00119-2
  26. Barceló, J., and Casas, J. “Dynamic network simulation with AIMSUN.” Simulation Approaches in Transportation Analysis: Recent Advances and Challenges, (2005), 57-98. https://doi.org/10.1007/0-387-24109-4_3
  27. Park, B., and Qi, H. “Development and Evaluation of a Procedure for the Calibration of Simulation Models.” Transportation Research Record, Vol. 1934, No. 1, (2005), 208-217. https://doi.org/10.1177/0361198105193400122
  28. Thacker, B. H., Doebling, S. W., Hemez, F. M., Anderson, M. C., Pepin, J. E., and Rodriguez, E. A. “Concepts of model verification and validation,” (2004). https://doi.org/10.2172/ 835920
  29. Balakrishna, R., Antoniou, C., Ben-Akiva, M., Koutsopoulos, H. N., and Wen, Y. “Calibration of microscopic traffic simulation models: Methods and application.” Transportation Research Record, Vol. 1999, No. 1, (2007), 198-207. https://doi.org/ 10.3141/1999-21
  30. Zhe, L., Hao, L., and Ke, Z. “Calibration and validation of PARAMICS for freeway using toll data.” In 2009 12th International IEEE Conference on Intelligent Transportation Systems, 1-6. https://doi.org/10.1109/ITSC.2009.5309678
  31. Jha, M., Gopalan, G., Garms, A., Mahanti, B. P., Toledo, T., and Ben-Akiva, M. E. “Development and Calibration of a Large-Scale Microscopic Traffic Simulation Model.” Transportation Research Record, Vol. 1876, No. 1, (2004), 121-131. https://doi.org/10.3141/1876-13
  32. Daigle, G., Thomas, M., and Vasudevan, M. “Field applications of CORSIM: I-40 freeway design evaluation, Oklahoma city, OK.” In 1998 Winter Simulation Conference. Proceedings (Cat. No. 98CH36274), Vol. 2, IEEE, 1161-1167. https://doi.org/10.1109/WSC.1998.745974
  33. Ratrout, N. T., Rahman, S. M., and Reza, I. “Calibration of paramics model: Application of artificial intelligence-based approach.” Arabian Journal for Science and Engineering, Vol. 40, (2015), 3459-3468. https://doi.org/10.1007/s13369-015-1816-5
  34. Mathew, T. V, and Radhakrishnan, P. “Calibration of microsimulation models for nonlane-based heterogeneous traffic at signalized intersections.” Journal of Urban Planning and Development, Vol. 136, No. 1, (2010), 59-66. https://doi.org/10.1061/(ASCE)0733-9488(2010)136:1(59)
  35. Stevanovic, J., Stevanovic, A., Martin, P. T., and Bauer, T. “Stochastic optimization of traffic control and transit priority settings in VISSIM.” Transportation Research Part C: Emerging Technologies, Vol. 16, No. 3, (2008), 332-349. https://doi.org/10.1016/j.trc.2008.01.002
  36. Directorate General of Highways. Indonesian Highway Capacity Manual (IHCM). Jakarta, Indonesia: Department of Public Works. 1997.
  37. PTV AG. PTV VISSIM 9.0 User Manual. Karlsruhe: PTV AG. 2016.
  38. Highways Agency. Design Manual for Roads and Bridges. London: Her Majesty’s Stationery Office. 1996.
  39. Dowling, R., Skabardonis, A., and Alexiadis, V. Traffic analysis toolbox, volume III: Guidelines for applying traffic microsimulation modeling software. United States: Federal Highway Administration, Office of Operations. 2004.
  40. Dowling, R. G. California Department of Transportation: Guidelines for Applying Traffic Microsimulation Modeling Software. California: Dowling Associates. 2002.
  41. Smith, J., and Blewitt, R. Traffic modelling guidelines: TfL traffic manager and network performance best practice version 3.0. (3rd ed.). London: Transport for London. 2010.
  42. Bowerman, B., O’Connell, R., and Koehler, A. Forecasting: methods and applications. Belmont, California: Thomson Brooks/Cole. 2004.
  43. Makridakis, S., Wheelwright, S. C., and Hyndman, R. J. Forecasting methods and applications (3rd ed.). Wiley India Pvt. Limited. 2008.
  44. Lewis, C. International and Business Forecasting Methods. Oxfordshire: Butterworths. 1982.
  45. National Research Council (U.S) Transportation Research Board. HCM 2010: Highway Capacity Manual. Washington, D.C.: Transportation Research Board. 2010.
  46. Cremer, M., and Ludwig, J. “A fast simulation model for traffic flow on the basis of boolean operations.” Mathematics and Computers in Simulation, Vol. 28, No. 4, (1986), 297-303. https://doi.org/10.1016/0378-4754(86)90051-0
  47. Marlianny, T. “Overview of Side Friction Factors for Evaluation of Capacity Calculation at Indonesian Highway Capacity Manual.” In Proceedings of the Second International Conference of Construction, Infrastructure, and Materials, Springer, 373-383. https://doi.org/10.1007/978-981-16-7949-0_33
  48. Della, R. H., Arliansyah, J., and Artiansyah, R. “Traffic performance analysis of u-turn and fly over u-turn scenario; a case study at Soekarno Hatta Road, Palembang, Indonesia.” Procedia Engineering, Vol. 125, (2015), 461-466. https://doi.org/10.1016/ j.proeng.2015.11.123
  49. Mahmudah, N., and Akbar, R. “Analysis of congestion cost at signalized intersection using Vissim 9 (Case study at Demak Ijo Intersection, Sleman).” In MATEC Web of Conferences (Vol. 181, p. 6001). EDP Sciences. https://doi.org/10.1051/matecconf/ 201818106001
  50. Sandhyavitri, A., Maulana, A., Ikhsan, M., Putra, A. I., Husaini, R. R., and Restuhadi, F. “Simulation modelling of traffic flows in the central business district using PTV vissim in Pekanbaru, Indonesia.” In Journal of Physics: Conference Series (Vol. 2049, p. 12096). IOP Publishing. https://doi.org/10.1088/1742-6596/2049/1/012096
  51. Muchlisin, M., Wijayanti, F. A., and Amanda, N. “Traffic Detection Program using Image Processing and the 1997 Indonesian Highway Capacity Manual (MKJI).” In IOP Conference Series: Materials Science and Engineering (Vol. 1144, p. 12098). IOP Publishing. https://doi.org/10.1088/1757-899X/1144/1/012098
  52. Munawar, A., Irawan, M. Z., and Fitrada, A. G. “Developing Indonesian Highway Capacity Manual Based on Microsimulation Model (A Case of Urban Roads).” In The World Congress on Engineering, Springer, 153-163. https://doi.org/10.1007/ 978-981-13-0746-1_12
  53. Munawar, A. “Speed and capacity for urban roads, Indonesian experience.” Procedia-Social and Behavioral Sciences, Vol. 16, (2011), 382-387. https://doi.org/10.1016/j.sbspro.2011.04.459
  54. Brockfeld, E., and Wagner, P. “Calibration and validation of microscopic traffic flow models.” In Traffic and Granular Flow’03, Springer, 67-72. https://doi.org/10.1007/3-540-28091-X_6
  55. Punzo, V., and Simonelli, F. “Analysis and comparison of microscopic traffic flow models with real traffic microscopic data.” Transportation Research Record, Vol. 1934, No. 1, (2005), 53-63. https://doi.org/10.1177/0361198105193400106
  56. Ciuffo, B., Punzo, V., and Torrieri, V. “Comparison of simulation-based and model-based calibrations of traffic-flow microsimulation models.” Transportation Research Record, Vol. 2088, No. 1, (2008), 36-44. https://doi.org/10.3141/2088-05
  57. Liu, B., Mehrara Molan, A., Pande, A., Howard, J., Alexander, S., and Luo, Z. “Microscopic Traffic Simulation as a Decision support system for road diet and tactical urbanism strategies.” Sustainability, Vol. 13, No. 14, (2021), 8076. https://doi.org/10.3390/su13148076
  58. Lin, D., Yang, X., and Gao, C. “VISSIM-based simulation analysis on road network of CBD in Beijing, China.” Procedia-Social and Behavioral Sciences, Vol. 96, (2013), 461-472. https://doi.org/10.1016/j.sbspro.2013.08.054
  59. Jie, L., van Zuylen, H. J., Chen, Y., and Lu, R. “Comparison of driver behaviour and saturation flow in China and the Netherlands.” IET Intelligent Transport Systems, Vol. 6, No. 3, (2012), 318-327. https://doi.org/10.1049/iet-its.2010.0203
  60. Xu, J., Lin, W., Wang, X., and Shao, Y.-M. “Acceleration and deceleration calibration of operating speed prediction models for two-lane mountain highways.” Journal of Transportation Engineering, Part A: Systems, Vol. 143, No. 7, (2017), 4017024. https://doi.org/10.1061/JTEPBS.0000050
International Journal of Engineering
Volume 36, Issue 8
TRANSACTIONS B: Applications
August 2023
Pages 1509-1519

Files

Cited by

Share

How to cite

Statistics