APLIKASI PENUGASAN TRAFIK DINAMIK MELALUI SIMULASI MIKROSKOPIK DALAM KAJIAN IMPAK TRAFIK DAN PERBANDINGAN DENGAN PENUGASAN TRAFIK STATIK
Abstract
Kajian impak trafik membantu pembuat keputusan menilai kesesuaian cadangan pembangunan serta mengenal pasti penambahbaikan infrastruktur pengangkutan bagi mengekalkan kelestarian. Kajian ini membandingkan output trafik seperti kelengahan, nisbah isipadu terhadap kapasiti (v/c), dan tahap perkhidmatan (LOS) antara model penugasan trafik dinamik AIMSUN dan model statik SIDRA. Model SIDRA telah diselaraskan dengan rangkaian AIMSUN dari segi geometri, permintaan trafik, dan komposisi kenderaan bagi membolehkan perbandingan merentas platform yang sah. Output simulasi termasuk kelengahan, LOS dan nisbah v/c telah diekstrak daripada kedua-dua platform, dengan AIMSUN menyediakan hasil dalam format agregat dan siri masa. Hasil kajian menunjukkan bahawa AIMSUN, terutamanya melalui simulasi siri masa, memberikan gambaran trafik lebih realistik dengan mengenal pasti perubahan mengikut masa, tingkah laku pemandu adaptif dan corak kesesakan setempat. SIDRA pula secara konsisten melebihi anggaran kelengahan, iaitu purata 46.1% (50.6 saat) berbanding kelengahan agregat AIMSUN dan 34.2% (47.9 saat) berbanding kelengahan maksimum AIMSUN (siri masa), terutamanya di persimpangan yang sibuk. SIDRA juga melebihi anggaran nisbah v/c berbanding AIMSUN, dengan purata 62.2% (agregat) dan 56.9% (siri masa). AIMSUN turut menunjukkan keupayaan yang lebih unggul dalam mengenal pasti gangguan aliran trafik serta fenomena limpahan barisan kenderaan, sekali gus menonjolkan kelebihan model penugasan trafik dinamik dalam penilaian yang tepat dan responsif terhadap rangkaian trafik bandar yang kompleks. Penemuan ini menyokong penggunaan kaedah analisis berasaskan simulasi serta meningkatkan kredibiliti model penugasan trafik dinamik untuk ramalan trafik yang lebih tepat dan perancangan infrastruktur mampan.
Keywords
Full Text:
PDFReferences
Angkoso, A., Shofwan, M., & Cahyono, D. (2021). Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan Volume 06 Number 2 Year 2021 Adaptive Neuro-Fuzzy Inference System For Forecasting Traffic Volume (Case Study Of National Road Km 41 Kamal). https://doi.org/10.30736/cvl.v2i2
Al-Bahr, T. M. A. (2021). Modeling on the Effect of Geometric and Traffic Parameters on Speed-Flow-Geometry Relationship for Urban Roads in Johor Bahru Street Network [Doctoral dissertation, Universiti Teknologi Malaysia]. http://eprints.utm.my/102390/
Ali, M., Sheng, T. K., Yusof, K. M., Suhaili, M. R., Ghazali, N. E., & Ali, S. (2019). The dynamics of traffic congestion: A specific look into Malaysian scenario and the plausible solutions to eradicate it using machine learning. Indonesian Journal of Electrical Engineering and Computer Science, 15(2), 1086–1094. https://doi.org/10.11591/ijeecs.v15.i2.pp1086-1094
Ashfaq, M., Gu, Z., Waller, S. T., & Saberi, M. (2021). Comparing Dynamic User Equilibrium and Noniterative Stochastic Route Choice in a Simulation-Based Dynamic Traffic Assignment Model: Practical Considerations for Large-Scale Networks. Journal of Advanced Transportation. https://doi.org/10.1155/2021/6667335
Barcelo, J., Casas, J., García, D. & Perarnau, J. (2005). Methodological Notes on Combining Macro-Meso and Micro Models for Transportation Analysis. Proceedings of the Workshop on Modeling and Simulation, Sedona, AZ, USA. https://www.researchgate.net/publication/242154775_METHODOLOGICAL_NOTES_ON_COMBINING_MACRO_MESO_AND_MICRO_MODELS_FOR_TRANSPORTATION_ANALYSIS
Baza-Solares, N., Velasquez-Martínez, R., Torres-Bohórquez, C., Martínez-Estupiñán, Y., Poliziani, C. (2022). Traffic Simulation with Open-Source and Commercial Traffic Microsimulators: A Case Study. Communications - Scientific Letters of the University of Žilina, 24(2), E49–62. https://doi.org/10.26552/com.c.2022.2.e49-e62
Chin, W. A., Leong, L. V., Mohd Shafie, S. A., Al-Jameel, H. A., & Goh, W. C. (2025). Assessment of Route Choice Models for Dynamic Traffic Assignment using Microscopic Simulation. Engineering, Technology and Applied Science Research, 15(2), 20990–20997. https://doi.org/10.48084/etasr.9854
Dowling, R., Skabardonis, A., Alexiadis, V. (2004). Traffic Analysis Toolbox Volume III: Guidelines for Applying Traffic Microsimulation Modeling Software. Washington, DC. Federal Highway Administration; FHWA-HRT-04-040. https://rosap.ntl.bts.gov/view/dot/41797
Gliebe, J., & Bergman, Å. (2011). Case Study Evaluation of Dynamic Traffic Assignment Tools. Interagency Agreement 24620. Work Order Contract #5. Produced by the Center for Urban Studies, Portland State University, for the Oregon Department of Transportation, Planning Analysis Unit. https://files.core.ac.uk/download/pdf/37776064.pdf
Hasanpour, M.Z., Ahadi, M.R., Moghadam, A.S., Behzadi, G.A. (2017) Variable Speed Limits: Strategies to Improve Safety and Traffic Parameters for a Bottleneck. Engineering, Technology and Applied Science Research (ETASR),7(2), p 1535–1539. https://doi.org/10.48084/etasr.831
Helbing, D., Hennecke, A., Shvetsov, V., & Treiber, M. (2002). Micro-and Macro-Simulation of Freeway Traffic. Mathematical and Computer Modelling, 35(5-6), 517-547. https://doi.org/10.1016/S0895-7177(02)80019-X
Ismail, A. & Mokhtar, N.S. (2018) Traffic impact assessment on a new commercial development in the neighbourhoods of Ampang Town in Selangor. Jurnal Kejuruteraan, 1(5), 43–51. https://dx.doi.org/10.17576/jkukm-2018-si1(5)-07
Leong, L.V., Mahdi, M.B. & Chin, K.K. (2015) Microscopic simulation on the design and operational performance of diverging diamond interchange. In: Gastaldi M, editor. Transportation Research Procedia. Proceedings of the 4th International Symposium of Transport Simulation-ISTS’14; 2014 June 1-4 June; Corsica, France. Amsterdam: Elsevier, 198–212. https://doi.org/10.1016/j.trpro.2015.03.016
Lu, Q., & Tettamanti, T. (2021). Traffic control scheme for social optimum traffic assignment with dynamic route pricing for automated vehicles. Periodica Polytechnica Transportation Engineering, 49(3), 301–307. https://doi.org/10.3311/PPTR.18608
May, L.W., Rahman, R.A., Hassin, M.F., Md Diah, J., Mashros, N., Abdullah, M.E., et al. (2019). An Overview of the Practice of Traffic Impact Assessment in Malaysia. International Journal Engineering Advanced Technology, 8(5C),914–921.
https://doi.org/10.35940/ijeat.E1130.0585C19
Ozbay, K., Mudigonda, S., Student, G., & Bartin, B. (2006). Microscopic Simulation and Calibration of an Integrated Freeway and Toll Plaza Model. Paper presented at: The Transportation Research Board 85th Annual Meeting, 2006 Jan 22-26; Washington DC
Perveen, S., Yigitcanlar, T., Kamruzzaman, M., & Agdas, D. (2020). How can transport impacts of urban growth be modelled? An approach to consider spatial and temporal scales. Sustainable Cities and Society, 55. https://doi.org/10.1016/j.scs.2020.102031
Rahimi, A.M., Dulebenets, M.A., Mazaheri, A. (2021). Evaluation of Microsimulation Models for Roadway Segments with Different Functional Classifications in Northern Iran. Infrastructures, 6(3). https://doi.org/10.3390/infrastructures6030046
Ranjitkar, P., Shahin, A., & Shirwali, F. (2014). Evaluating Operational Performance of Intersections Using SIDRA. The Open Transportation Journal (Vol. 8). https://doi.org/10.2174/1874447801408010050
Rojo, M. (2020). Evaluation of traffic assignment models through simulation. Sustainability (Switzerland), 12(14). https://doi.org/10.3390/su12145536
Saxena N, Irannezhad E, & Soet W. (2021). An Overview of Dynamic Traffic Assignment Models for Practitioners. Australasian Transport Research Forum, Proceedings 8-10 December 2021, Brisbane, Australia. Publication website: http://www.atrf.info
Sloboden, J. Lewis, J., Alexiadis, V. Chiu Y.C., & Nava, E. (2012). Traffic Analysis Toolbox Volume XIV: Guidebook on the Utilization of Dynamic Traffic Assignment in Modeling. https://ops.fhwa.dot.gov/publications/fhwahop13015/index.htm
Venkatcharyulu, S., & Mallikarjunareddy, V. (2020). Traffic volume Analysis of Newly Developing semi-urban Road. E3S Web of Conferences, 184. https://doi.org/10.1051/e3sconf/202018401116
Zou, M., Chen, X. (Michael), Yu, H., Tong, Y., Huang, Z., Li, M., & Zou, H. (2013). Dynamic Transportation Planning and Operations: Concept, Framework and Applications in China. Procedia - Social and Behavioral Sciences, 96, 2332–2343.
https://doi.org/10.1016/j.sbspro.2013.08.262
Refbacks
- There are currently no refbacks.
