The Effectiveness Analysis of Frontage Road on Jalan Margonda Raya, Depok
DOI:
https://doi.org/10.55324/ijoms.v1i1.396Keywords:
analysis, frontage, road, effectivity, lane-splittingAbstract
Highways are the central infrastructure that supports land transportation. Therefore, the highway strongly supports various activities and human needs in land mobilization so that it can achieve its goals both in economic and non-economic terms. In particular, on some highways, there is a system that divides the road into two special lanes: the frontage road and the fast lane. This study aimed to assess the effectiveness of the frontage road on Jalan Margonda Raya, Depok. The data retrieval method is to survey directly and retrieve data through CCTV during peak hours on the road. From the results of this study, the average speed of a motorcycle is 26.625 km / h, which is below the standard free current speed based on the 1997 MKJI of 32.64 km / h, while the average speed of light vehicles (angkot) is 9.9375 km / h, which is below the standard free current speed based on MKJI 1997 which is 41.48 km / h and also obtained a saturation degree value of 1.1105 which means that the frontage road on Jalan Margonda Raya has a Level of Service F value. Therefore, it can be concluded that the frontage road on Jalan Margonda Raya has conditions of forced current, low speed, volume above capacity, and long lines (traffic jams).
References
Alsolami, B. M. (2020). Hybrid statistical and machine learning methods for road traffic prediction: A review and tutorial. Smart Infrastructure and Applications, 115-133.
Altintation, O. T.-Y. (2017). Detection of urban traffic patterns from Floating Car Data (FCD). Transportation research procedia, 382-391.
Asqool, O. K. (2021). Evaluation of outlier filtering algorithms for accurate travel time measurement incorporating lane-splitting situations. Sustainability, 13(24), 13851.
BPS West Java Province, B. P. (2018, March 19). Transportation: Number of Public and Non-Public MotorIzed Vehicles for BPKB According to the Service Branch in West Java, 2016. Retrieved from the Central Statistics Agency of West Java Province Web site: https://jabar.bps.go.id/statictable/2018/03/19/416/jumlah-kendaraan-bermotor-umum-dan-bukan-umum-untuk-bpkb-menurut-cabang-pelayanan-di-jawa-barat-2016.html
Christine, C., Rifai, A. I., & Handayani, S. (2022). Level of Service Evaluation of Pedestrian Facility in Tourism Area: Case Study Jalan Braga, Bandung. Citizen: Indonesian Multidisciplinary Scientific Journal, 2(5), 748-756.
Chung, J. &. (2017). Image-based learning to measure traffic density using a deep convolutional neural network. IEEE Transactions on Intelligent Transportation Systems, 19(5), 1670-1675.
Cipriani, E. M. (2019). Congestion pricing policies: Design and assessment for the city of Rome, Italy. Transport Policy, 127-135.
Das, S. M. (2022). Pattern recognition in speeding related motorcycle crashes. Journal of Transportation Safety & Security, 14(7), 1121-1138.
Directorate General of Wildlife Development. (2021). Directorate General of Wildlife Development. Road Geometric Design Guidelines (PDGJ).
Firmansyah, F., Rifai, A. I., & Taufik, M. (2022). The Performance of Roundabouts with Traffic Signals: A Case Kadipaten Intersection, Indonesia A Case Kadipaten Intersection, Indonesia. Citizen: Indonesian Multidisciplinary Scientific Journal, 2(5), 823-832.
Ganin, A. A. (2017). Resilience and efficiency in transportation networks. Science advances, 3(12), e1701079.
Jusuf, A. N. (2017). Macro Data Analysis of Traffic Accidents in Indonesia. Journal of Engineering & Technological Sciences, 49(1).
Kashinath, S. A. (2021). Review of data fusion methods for real-time and multi-sensor traffic flow analysis. IEEE Access, 9, 51258-51276.
Kitamura, Y. H. (2018). Traffic problems in Southeast Asia featuring the case of Cambodia's traffic accidents involving motorcycles. IATSS research 42(4), 163-170.
Manan, M. M. (2017). Factors associated with motorcyclists' speed behaviour on Malaysian roads. Transportation research part F: traffic psychology and behaviour, 50, 109-127.
MKJI. (1997). Indonesia, M. K. J. (1997). Department of Public Works. Directorate General of Wildlife Development.
Özinal, Y. &. (2021). Dönel kav?ak geometrik elemanlar?n?n kav?ak güvenli?i üzerine etkisinin literatür i????nda de?erlendirilmesi. Dergisi Polytechnic, 2.
Papakostopoulos, V. N. (2020). Semantic content of motorcycle riders' eye fixations during lane-splitting. Cognition, Technology & Work, 22(2), 343-355.
Rahayu, A. J., Rifai, A. I., & End, A. F. (2022). The Phenomena of On-Street Parking at Duchy Traditional Market, West Java. Citizen: Indonesian Multidisciplinary Scientific Journal, 2(5).
Rifai, A. I. (2021). Analysis of Road Performance and the impact of Development in Pasar Minggu. International Journal of Civil Engineering, 6(1).
Rifai, A. I., & Aulia, E. S. (2019). Analysis of Factors Causing Traffic Accidents on Sultan Agung Street, Bekasi. Neutrons, 18(2), 1-9.
Rifai, A. I., Harefa, R. A., Isradi, M., & Mufhidin, A. (2021, September). How did the Impact of the 2nd Wave of COVID-19 on Parking Characteristics at Non-Referral Hospitals? Case Study: Permata Cibubur Hospital, Indonesia. In Journal of World Conference (JWC) (Vol. 3, No. 5, pp. 481-490).
Suhas, S. K. (2017). A comprehensive review on traffic prediction for intelligent transport system. In 2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), 138-143.
Sumantri, V. N., Rifai, A. I., & Ferial, F. (2022). Impact of inter-urban street lighting on users perception of road safety behavior: A Case of Jalan Majalengka-Rajagaluh. Citizen: Indonesian Multidisciplinary Scientific Journal, 2(5), 703-711.
Wang, X. Z. (2018). Speed, speed variation and crash relationships for urban arterials. Accident Analysis & Prevention, 236-243.
WHO, W. H. (2022, April 19). News: New global advisory panel convenes for upcoming road safety report. Retrieved from the World Health Organization (WHO) Web site: https://www.who.int/news/item/19-04-2022-new-global-advisory-panel-convenes-for-upcoming-road-safety-report
Yan, M. L. (2018). Deep learning for vehicle speed prediction. Energy Procedia, 152, 618-623.
Yuan-Qing, W. &. (2017). Study of rainfall impacts on freeway traffic flow characteristics. Transportation research procedia, 1533-1543.
Zefreh, M. M. (2020). Distribution of traffic speed in different traffic conditions: an empirical study in Budapest. Transport, 35(1), 68-86.
Zhang, S. W. (2017). Understanding traffic density from large-scale web camera data. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 5898-5907.
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