Safety Management of Trans Java Toll Road with Vision Zero Approach (Ngawi - Kertosono Toll Road Segment)

Authors

  • Setia Hadi Pramudi Politeknik Keselamatan Transportasi Jalan
  • Firga Ariani Politeknik Keselamatan Transportasi Jalan
  • Siti Shofiah Politeknik Keselamatan Transportasi Jalan
  • Revi Hikaru Politeknik Keselamatan Transportasi Jalan
  • Handoko Handoko Politeknik Transportasi Darat Bali

DOI:

https://doi.org/10.52920/jttl.v5i2.328

Keywords:

accident analysys, driver education, infrastructure recovery, tol road ngawi-kertosono, traffic monitoring; traffic safety, vision zero

Abstract

The Ngawi-Kertosono Toll Road, essential for supporting Indonesia's mobility and economy, faces significant traffic safety challenges, evidenced by high accident rates attributed to excessive speed, poor road conditions, and human error. This study identifies critical black spots through accident data analysis and proposes the Vision Zero approach as an effective strategy to eliminate road fatalities. Key recommendations include improving infrastructure, such as clearer traffic signage and geometric road enhancements in accident-prone areas, as well as driver education through defensive driving training and awareness campaigns about risks at dangerous points. Strengthening law enforcement against traffic violations is crucial for creating a deterrent effect, and implementing advanced traffic monitoring systems can help detect and prevent potential accidents in real time. By adopting these measures, it is anticipated that accident rates will decrease, thereby enhancing traffic safety on the Ngawi-Kertosono Toll Road and moving closer to the Vision Zero goal.

 

References

Alzayani, S., & Alsabbagh, M. (2022). Public awareness and practices towards health impacts of PM2.5 in the Kingdom of Bahrain: Identifying areas for intervention. Environmental Analysis Health and Toxicology, 37(2). https://doi.org/10.5620/eaht.2022014

Badrloo, S., Varshosaz, M., Pirasteh, S., & Li, J. (2022). Image-Based Obstacle Detection Methods for the Safe Navigation of Unmanned Vehicles: A Review. Remote Sensing, 14(15), 1-26. https://doi.org/10.3390/rs14153824

Ballesteros, R., Intrigliolo, D. S., Ortega, J. F., Ramírez-Cuesta, J. M., Buesa, I., & Moreno, M. A. (2020). Vineyard yield estimation by combining remote sensing, computer vision, and artificial neural network techniques. Precision Agriculture, 21(6), 1242-1262. https://doi.org/10.1007/s11119-020-09717-3

Charisma, Y. M., Ekawati, & Baju, W. (2019). Factors associated with defensive driving in Trans Semarang Bus Rapid Transit (BRT) Corridor II, III, and VI drivers. Journal of Public Health, 7(1), 365-373. http://ejournal3.undip.ac.id/index.php/jkm

Chen, D. J., Asplund, F., Östberg, K., Brezhniev, E., & Kharchenko, V. (2015). Towards an ontology-based approach to safety management in cooperative intelligent transportation systems. Advances in Intelligent Systems and Computing, 365, 107-115. https://doi.org/10.1007/978-3-319-19216-1_11

Ghazzai, H., Menouar, H., Kadri, A., & Massoud, Y. (2019). Future UAV-Based ITS: A Comprehensive Scheduling Framework. In IEEE Access (Vol. 7, pp. 75678-75695). https://doi.org/10.1109/ACCESS.2019.2921269

Gijre, V., & Ram, S. (2023). Spatial and Temporal Pattern of Bus Crashes in City Bus Transport: Case of Delhi Transport Corporation (DTC), India. Journal of Road Safety, 34(4), 11-19. https://doi.org/10.33492/JACRS-D-22-00025

Guo, L., Zhou, J. B., Dong, S., & Zhang, S. C. (2018). Analysis of Urban Road Traffic Accidents Based on Improved K-means Algorithm. Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 31(4), 270-279. https://api.elsevier.com/content/abstract/scopus_id/85047765548

Habib, A., Ali, T., Nazir, Z., Muskan, F., Jawed, I., & Akilimali, A. (2024). Unveiling Pakistan's transport problems: a call to safeguard public health. Frontiers in Public Health, 12(June), 1-5. https://doi.org/10.3389/fpubh.2024.1325193

Huang, X., Liu, X., Zhang, Y., Li, J., Zhang, H., & Xing, X. (2018). Classification Recognition Method of Insulator in Aerial Image Based on the Red-blue Difference and Developed K-means Algorithm. Gaodianya Jishu/High Voltage Engineering, 44(5), 1528-1534. https://doi.org/10.13336/j.1003-6520.hve.20180430018

Li, Z., Meng, C., Zhou, F., Ding, X., Wang, X., Zhang, H., Guo, P., & Meng, X. (2019). Fast vision-based autonomous detection of moving cooperative targets for unmanned aerial vehicle landing. Journal of Field Robotics, 36(1), 34-48. https://doi.org/10.1002/rob.21815

Moran, M. E. (2022). Where the Crosswalk Ends: Mapping Crosswalk Coverage via Satellite Imagery in San Francisco. Environment and Planning B: Urban Analytics and City Science, 49(8), 2250-2266. https://doi.org/10.1177/23998083221081530

Nakao, S., Katayama, Y., Kitamura, T., Hirose, T., Tachino, J., Ishida, K., Ojima, M., Kiguchi, T., Umemura, Y., Noda, T., Matsuyama, T., Kiyohara, K., & Nakagawa, Y. (2022). Assessing the impact of the national traffic safety campaign: A nationwide cohort study in Japan. BMJ Open, 12(2), 1-8. https://doi.org/10.1136/bmjopen-2021-054295

Namatovu, S., Balugaba, B. E., Muni, K., Ningwa, A., Nsabagwa, L., Oporia, F., Kiconco, A., Kyamanywa, P., Mutto, M., Osuret, J., Rehfuess, E. A., Burns, J., & Kobusingye, O. (2022). Interventions to reduce pedestrian road traffic injuries: A systematic review of randomized controlled trials, cluster randomized controlled trials, interrupted time-series, and controlled before-after studies. PLoS ONE, 17(1 1), 1-17. https://doi.org/10.1371/journal.pone.0262681

Namiri, N. K., Lee, A. W., Amend, G. M., Vargo, J., & Breyer, B. N. (2023). Impact of alcohol and drug use on bicycle and electric scooter injuries and hospital admissions in the United States. Trauma (United Kingdom), 25(1), 53-61. https://doi.org/10.1177/14604086211044353

Oktopianto, Y., & Pangesty, S. (2021). Analysis of Accident Prone Areas on the Tangerang-Merak Toll Road. Indonesian Journal of Road Safety, 8(1), 26-37. https://doi.org/10.46447/ktj.v8i1.301

Renard, A., Nova?ko, L., Babojeli?, K., & Kožul, N. (2022). Analysis of Child Traffic Safety Near Primary School Areas Using UAV Technology. Sustainability (Switzerland), 14(3). https://doi.org/10.3390/su14031144

Shangguan, Q., Keung, J., Fu, L., Samara, L., Wang, J., & Fu, T. (2024). Do Traffic Countermeasures Improve the Safety of Vulnerable Road Users at Signalized Intersections? A Combination of Case-Control and Cross-Sectional Studies Using Video-Based Traffic Conflicts. Transportation Research Record, 2678(1), 806-819. https://doi.org/10.1177/03611981231172748

Vinet, L., & Zhedanov, A. (2011). A "missing" family of classical orthogonal polynomials. Journal of Physics A: Mathematical and Theoretical, 44(8), 1-13. https://doi.org/10.1088/1751-8113/44/8/085201

Wang, J., Liu, M., Sun, J., Gui, G., Gacanin, H., Sari, H., & Adachi, F. (2021). Multiple Unmanned-Aerial-Vehicles Deployment and User Pairing for Nonorthogonal Multiple Access Schemes. IEEE Internet of Things Journal, 8(3), 1883-1895. https://doi.org/10.1109/JIOT.2020.3015702

Webber, B. J., Whitfield, G. P., Rose, K. M., Stowe, E. W., Zaganjor, H., Ederer, D. J., & Fulton, J. E. (2024). Prevalence of vision zero action plans or strategies: USA, 2021. Injury Prevention, 30(3), 261-264. https://doi.org/10.1136/ip-2023-044926

Zhang, C., Craine, W. A., McGee, R. J., Vandemark, G. J., Davis, J. B., Brown, J., Hulbert, S. H., & Sankaran, S. (2020). Image-based phenotyping of flowering intensity in cool-season crops. Sensors (Switzerland), 20(5). https://doi.org/10.3390/s20051450

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Published

2024-12-30

How to Cite

Pramudi, S. H., Ariani, F. ., Shofiah, S. ., Hikaru, R., & Handoko, H. (2024). Safety Management of Trans Java Toll Road with Vision Zero Approach (Ngawi - Kertosono Toll Road Segment). Jurnal Teknologi Transportasi Dan Logistik, 5(2), 243-256. https://doi.org/10.52920/jttl.v5i2.328

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