ANALYSIS OF SIGNALIZED INTERSECTION PERFORMANCE: A CASE SIMPANG EMPAT SMPN 1 MAJALENGKA

Authors

  • Sayid Muhammad Akbar Universitas Majalengka
  • Ade Jaya Saputra Universitas Internasional Batam

DOI:

https://doi.org/10.37253/leader.v2i1.9506

Keywords:

Signalized Intersection, Road Performance, Traffic Flow

Abstract

Economic and health aspects are most significantly affected by traffic congestion due to delays in the execution of daily tasks, causing a huge waste of time, effort, and focus, as well as other additional costs. Like the intersection at SMPN 1 Majalengka or what is usually called the Abok intersection, which is one of the access roads to the economic center, the traffic problem that often occurs at the intersection at SMPN 1 Majalengka is congestion, especially at rush hour. traffic flow is increasing. denser than at other times. The aims of this research is to analyze the traffic engineering that occurs at the signalized intersection of SMPN 1 Majalengka which can cause congestion so that in the future this research will look for solutions to be more careful in traffic engineering. The research methodology used in this research is a qualitative method. This research was conducted at the Abok signalized intersection which is located near SMPN 1 Majalengka, Majalengka Regency. Based on the table above, it can be seen that the degree of saturation in the four directions has a value of 0.88. It can be concluded that the degree of saturation in all four directions is the same, namely 0.88 and according to MKJI 1997 this figure is included in the creeping dense category. The resulting degree of saturation is quite high, causing the service level value to creep up. This result will increase the risk of traffic jams at the intersection. So attention is needed in carrying out good traffic management.

Downloads

Download data is not yet available.

References

Abdurakhmanov, R. (2022). DETERMINATION OF TRAFFIC CONGESTION AND DELAY OF TRAFFIC FLOW AT CONTROLLED INTERSECTIONS. The American Journal of Engineering and Technology, 4(10), v.

Alsaawy, Y. A., Alshanqiti, A., Bhat, W. A., & Bahbouh, N. M. (2022). A Comprehensive and Effective Framework for Traffic Congestion Problem Based on the Integration of IoT and Data Analytics. Applied Sciences, 12(4), 2043.

Baffoe-Twum, E., Asa, E., & Awuku, B. (2022). Estimation of annual average daily traffic (AADT) data for low-volume roads: a systematic literature review and meta-analysis. 13. Emerald Open Research, 4, 13.

Chen, C., Wang, J., Xu, Q., Wang, J., & Li, K. (2021). Mixed platoon control of automated and human-driven vehicles at a signalized intersection: dynamical analysis and optimal control. Transportation Research Part C: Emerging Technologies, 127, 103138.

Dong, H. Z., Liu, Y., & Yin, G. (2022). A comparative study of energy-efficient driving strategy for connected internal combustion engine and electric vehicles at signalized intersections. Applied Energy, 310, 1185.

EG, G., B, Y., & Purwanto. (2018). Perhitungan Kinerja Simpang Bersinyal menggunakan Metode Mkji 1997 dan Perangkat Lunak Ptv Vistro (Studi Kasus Simpang Empat Ngemplak dan Simpang Tiga Gilingan Kota Surakarta). Matriks Teknik Sipil, 1.

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: Jurnal Ilmiah Multidisiplin Indonesia, 2(5), 823-832.

Haryati, S., & Najid, N. (2021). ANALISIS KAPASITAS DAN KINERJA LALU LINTAS PADA RUAS JALAN JENDERAL SUDIRMAN JAKARTA. JMTS: Jurnal Mitra Teknik Sipil, 4(1), 95-108.

Isradi, M., Mufhidin, A., Dermawan, W. B., Rifai, A. I., & Prasetijo, J. (2022). Performance Analysis of Sentul Circuit Roundabout and Alternatif Road Sentul Bogor. IJTI International Journal of Transportation and Infrastructure eISSN 2597-4769 pISSN 2597pISSN 2597-4734, 5(2), 76-85.

Kashyap, A. A., Devarakonda, A., Nayak K, S. R., KV, S., & Bhat, S. J. (2022). Traffic flow prediction models–A review of deep learning techniques. Cogent Engineering, 9(1), 2010510.

Ma'aruf, M., Eprilianto, D., & Megawati, S. (2021). Collaborative Governance in Handling Traffic Problems in the City of Surabaya. Proceedings of the 1st Tidar International Conference onAdvancing Local Wisdom Towards Global Megatrends, TIC 2020, 21-22 October 2020, Magelang, Jawa Tengah, Indonesia, 3.

Marzoug, R., Lakouari, N., Pérez Cruz, J., & Vega Gómez, C. (2022). Model Cellular Automata untuk Analisis dan Optimalisasi Emisi Lalu Lintas di Simpang Bersinyal. Keberlanjutan , 14 (21), 14048.

Nina, H., Hidayat, & Kurnia, A. (2019). Analisis kinerja simpang bersinyal studi kasus simpang mitra batik kota tasikmalaya. akselerasi, 3.

Novikov, A., Novikov, I., & Shevtsova, A. (2018). Study of the impact of type and condition of the road surface on parameters of signalized intersection. Transportation research procedia, 36, 548-555.

Pathivada, B., & Perumal, V. (2019). Analyzing dilemma driver behavior at signalized intersection under mixed traffic conditions. Transportation research part F: traffic psychology and behaviour, 60, 111-120.

Rahayu, A. J., Rifai, A. I., & Akhir, A. F. (2022). The Phenomena of On-Street Parking at Kadipaten Traditional Market, West Java. Citizen: Jurnal Ilmiah Multidisiplin Indonesia, 2(5), 815-822.

Sarbaini, S. (2022). Modeling of Traffic Flow Schemes at Road Intersections in Pekanbaru City Using Compatible Graphs. Eduma: Mathematics Education Learning and Teaching, 11(2), 213-222.

Sun, X., Lin, K., Jiao, P., & Lu, H. (2020). The dynamical decision model of intersection congestion based on risk identification. Sustainability, 12(15), 5923.

Tomar, I., Sreedevi, I., & Pandey, N. (2022). State-of-Art Review of Traffic Light Synchronization for Intelligent Vehicles: Current Status, Challenges, and Emerging Trends. Electronics, 11(3), 465.

Ulfah, F. D., & Purwanti, O. (2019). Analisis Kinerja Persimpangan Jalan Laswi dengan Jalan Gatot Subroto, Kota Bandung Menggunakan PTV VISSIM 9.0. RekaRacana: Jurnal Teknil Sipil, 5(3),, 74.

Yuan, J., & Abdel-Aty, M. (2018). Approach-level real-time crash risk analysis for signalized intersections. Accident Analysis & Prevention, 119, 2.

Zheng, J., & Liu, H. X. (2017). Estimating traffic volumes for signalized intersections using connected vehicle data. Transportation Research Part C: Emerging Technologies, 79, 347-362.

Zhou, Q., Chen, N., & Lin, S. (2022). FASTNN: A Deep Learning Approach for Traffic Flow Prediction Considering Spatiotemporal Features. Sensors, 22(18), 6921.

Downloads

Published

2024-02-26

Issue

Section

Articles

Most read articles by the same author(s)

1 2 > >>