PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

This research delves into the intricate dynamics of traffic performance during non-recurrent congestion (NRC), specifically focusing on the Lebaran Topat festival in Lombok. Utilising sophisticated transport modelling software, namely PTV Vissim, the study systematically models real-world traffic scenarios and calibrates and validates the simulation model’s accuracy. The calibration of driver behaviour parameters, guided by the Wiedemann 74 model, is pivotal in comprehending nuanced vehicle interactions. Data collected from field observation was analysed in preparation for the calibration process, which employed maximum queue length as the parameter and an innovative trial and error method for optimisation. Specific values were assigned for each vehicle type during this calibration, exemplified by an average standstill distance. The validation of the NRC traffic performance model using the chi-square test stands as a testament to its reliability, boasting a chi-square value of 0.12, lower than the critical value of 0.18, at a significance level of 98%. Field assessment shows that during Lebaran Topat, the Level of Service (LOS) for signalised intersections based on the field maximum queue length is F, improved to D after simulated through PTV Vissim.

• Arafat, M., Nafis, S. R., Sadeghvaziri, E., & Tousif, F. (2020). A data-driven approach to calibrate microsimulation models based on the degree of saturation at signalized intersections. Transportation Research Interdisciplinary Perspectives, 8, 100231. https://doi.org/10.1016/j.trip.2020.100231
  
  Bhattacharyya, K., Maitra, B., & Boltze, M. (2020). Calibration of micro-simulation model parameters for heterogeneous traffic using mode-specific performance measure. Transportation Research Record, 2674(1), 135-147. https://doi.org/10.1177/0361198119900130
  
  Boonserm, E., & Wiwatwattana, N. (2021). Using machine learning to predict injury severity of road traffic accidents during new year festivals from Thailand’s open government data. Proceeding of the 2021 9th International Electrical Engineering Congress, IEECON 2021, 464-467. https://doi.org/10.1109/iEECON51072.2021.9440287
  
  Gallelli, V., Guido, G., Vitale, A., & Vaiana, R. (2019). Effects of calibration process on the simulation of rear-end conflicts at roundabouts. Journal of Traffic and Transportation Engineering (English Edition), 6(2), 175-184. https://doi.org/10.1016/j.jtte.2018.03.006
  
  Isa, N., Mohamed, A., & Yusoff, M. (2018). A review of the non-recurrent traffic congestion problem. Researchgate. https://www.researchgate.net/publication/350513939
  
  Jehad, A. E., Al-Msari, H., & Ismail, A. (2022). Calibration and validation of Vissim microscopic model of contraflow operation system of Silk Highway, Malaysia. Journal of Engineering Science and Technology, 17(1), 640-653.
  
  Jiang, Z. H., & Wang, T. (2019). Intergreen time calculation method of signalized intersections based on safety reliability theory: A Monte-Carlo simulation approach. Journal of Advanced Transportation, 2019, 1-9. https://doi.org/10.1155/2019/1941405
  
  Karakikes, I., Spangler, M., & Margreiter, M. (2017). Designing a Vissim-Model for a motorway network with systematic calibration on the basis of travel time measurements. Transportation Research Procedia, 24, 171-179. https://doi.org/10.1016/ j.trpro.2017.05.086
  
  Kvašňovská, E., Striegler, R., Pelikan, L., & Havlickova, E. (2023). Capacity and emission evaluation of new interchange designs using microsimulation. Transportation Research Procedia, 69(Tis 2022), 61-68. https://doi.org/10.1016/j.trpro.2023.02.145
  
  Lin, L., & Yan, W. (2011). Transportation characteristics and analysis of management measures of expressways during holidays. In ICCTP 2011: Towards Sustainable Transportation Systems (pp. 1094-1102). https://doi.org/10.1061/41186(421)107
  
  Maheshwary, P., Bhattacharyya, K., Maitra, B., & Boltze, M. (2020). A methodology for calibration of traffic micro-simulator for urban heterogeneous traffic operations. Journal of Traffic and Transportation Engineering (English Edition), 7(4), 507-519. https://doi.org/10.1016/j.jtte.2018.06.007
  
  Makarova, I., Khabibullin, R., Pashkevich, A., & Shubenkova, K. (2020). Modelling as a method to improve road safety during mass events. Transportation Research Procedia, 20(September 2016), 430-435. https://doi.org/10.1016/j.trpro.2017.01.070
  
  Manjunatha, P., Vortisch, P., & Mathew, T. (2013). Methodology for the calibration of VISSIM in mixed traffic. Transportation Research Board 92nd Annual Meeting, 11, 1-10. https://www.researchgate.net/publication/281290567
  
  Maripini, H. B., Vanajakshi, L., & Chilukuri, B. R. (2022). Optimal signal control design for isolated intersections using sample travel-time data. Journal of Advanced Transportation, 2022, 1-16. https://doi.org/10.1155/2022/7310250
  
  Mehar, A., Chandra, S., & Velmurugan, S. (2014). Passenger car units at different levels of service for capacity analysis of multilane interurban highways in India. Journal of Transportation Engineering, 140(1), 81-88. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000615
  
  Mistry, J., Chaudhari, P., Arkatkar, S., & Antoniou, C. (2022). Examining traffic operations at multi-legged intersection operating under heterogeneous traffic: A case study in India. Transportation Research Procedia, 62(2021), 83-90. https://doi.org/10.1016/j.trpro.2022.02.011
  
  Prabhu, T. D., & Sarkar, P. K. (2016). Pedestrian warrants for developing countries by simulation approach. Procedia Computer Science, 83(Ant), 665-669. https://doi.org/10.1016/j.procs.2016.04.148
  
  Preston, A., & Pulugurtha, S. S. (2021). Simulating and assessing the effect of a protected intersection design for bicyclists on traffic operational performance and safety. Transportation Research Interdisciplinary Perspectives, 9(February), 100329. https://doi.org/10.1016/j.trip.2021.100329
  
  PTV Vision. (2023). PTV Vissim 2023 Manual. Haid-und-Neu-Str. 15, 76131 Karlsruhe, Germany: PTV Group.
  
  Rianti, A., Novenia, A. E., Christopher, A., Lestari, D., & Parassih, E. K. (2018). Ketupat as traditional food of Indonesian culture. Journal of Ethnic Foods, 5(1), 4-9. https://doi.org/10.1016/j.jef.2018.01.001
  
  Salgado, D., Jolovic, D., Martin, P. T., & Aldrete, R. M. (2016). Traffic microsimulation models assessment - A case study of International Land Port of Entry. Procedia Computer Science, 83(Ant), 441-448. https://doi.org/10.1016/j.procs.2016.04.207
  
  Severino, A., Pappalardo, G., Olayode, I. O., Canale, A., & Campisi, T. (2022). Evaluation of the environmental impacts of bus rapid transit system on turbo roundabout. Transportation Engineering, 9(April), 100130. https://doi.org/10.1016/j.treng.2022.100130
  
  Siddharth, S. M. P., & Ramadurai, G. (2013). Calibration of VISSIM for Indian heterogeneous traffic conditions. Procedia - Social and Behavioural Sciences, 104, 380-389. https://doi.org/10.1016/j.sbspro.2013.11.131
  
  Sofia, G., Al-haddad, A., & Al-haydari, I. S. (2018). Improvement of traffic performance at intersections in Karbala City. MATEC Web of Conferences, 162, 1-10. https://doi.org/10.1051/matecconf/201816201032
  
  Virginia Department of Transportation. (2020). VDOT Vissim User Guide Version 2.0. Traffic Engineering Division.
  
  Wu, Y., Lu, J., Chen, H., & Yang, H. (2015). Development of an optimization traffic signal cycle length model for signalized intersections in China. Mathematical Problems in Engineering, 2015, 1-9. https://doi.org/10.1155/2015/954295
  
  Yu, M., & Fan, W. D. (2017). Calibration of microscopic traffic simulation models using metaheuristic algorithms. International Journal of Transportation Science and Technology, 6(1), 63-77. https://doi.org/10.1016/j.ijtst.2017.05.001
  
  Zhou, H., & Huang, F. (2013). Development of traffic safety evaluation method based on simulated conflicts at Signalized Intersections. Procedia - Social and Behavioural Sciences, 96(Cictp), 881-885. https://doi.org/10.1016/j.sbspro.2013.08.100