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Abstract
Community service activities conducted in Kediri City demonstrated that spatial regression models effectively explain traffic variations at major intersections. The analysis showed that vehicle speed and volume are significantly influenced by intersection location, arm direction, and vehicle type. High R-square values, reaching 83% at Semampir Intersection and 82% at Bandar Alim Intersection, indicate that quantitative and spatial approaches accurately describe traffic conditions. These findings suggest that traffic planning and control should be tailored to the characteristics of each intersection. The program also included outreach, technical training, and group discussions with the Kediri City Transportation Agency, enabling participants to interpret regression outputs, including T-tests, ANOVA, and spatial maps, and apply them to technical policies. The activities produced data-driven recommendations, including adaptive traffic signal timing, restrictions on heavy vehicles during peak hours, and the development of a real-time traffic monitoring system, with Semampir and Bandar Alim as pilot intersections.
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Copyright (c) 2026 Mochammad Danara Indra Pradigta Danara, Evita Fitrianis Hidiyati, Andri Dwi Cahyono, Faiz Muhammad Azhari
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References
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References
Ahmed, A., Naqvi, S. A. A., Watling, D., & Ngoduy, D. (2019). Real-Time Dynamic Traffic Control Based on Traffic-State Estimation. Transportation Research Record, 2673(5), 584–595. https://doi.org/10.1177/0361198119838842
Chen, Y., Xu, S., Du, M., Ma, H., Wang, S., & Li, F. (2023). Comparing the Spatiotemporal Travel Patterns and Influencing Factors of Bike Sharing and E-Bike Sharing Systems. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 48(1/W2-2023), 339–345. https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-339-2023
Irawan Deddy, Parapat Dyah Atika, S. H. (2024). El-Mujtama : Jurnal Pengabdian Masyarakat El-Mujtama : Jurnal Pengabdian Masyarakat. El-Mujtama: Jurnal Pengabdian Masyarakat, 4(2), 486–493.
Journal, C. D., Yessy, M., Wambrauw, B., Lintas, L., & Jayapura, K. (2024). SOSIALISASI PATUH LALU LINTAS DAN PELATIHAN SAFETY RIDING KENDARAAN BERMOTOR DI SEKOLAH MENENGAH. 5(5), 10397–10403.
Li, S., Ma, S., & Zhang, J. (2021). Association of built environment attributes with the spread of COVID-19 at its initial stage in China. Sustainable Cities and Society, 67(December 2020), 102752. https://doi.org/10.1016/j.scs.2021.102752
Natalia, V. V., Mandasari, J., Munawarah, A., & Valenti, M. (2024). Sosialisasi Penataan Ruang dalam Mendukung Sistem Transportasi Multimoda Sulawesi Selatan. 7, 408–415.
Samal, S. R., Mohanty, M., & Gorzelańczyk, P. (2023). Exploring the Traffic Congestion and Improving Travel Time Reliability Measures in Heterogeneous Traffic Environments: a Focus on Developing Countries. Communications - Scientific Letters of the University of Žilina, 25(4), D91–D102. https://doi.org/10.26552/com.C.2023.074
Subraveti, H. H. S. N., Knoop, V. L., & van Arem, B. (2020). Improving Traffic Flow Efficiency at Motorway Lane Drops by Influencing Lateral Flows. Transportation Research Record, 2674(11), 367–378. https://doi.org/10.1177/0361198120948055
Wisetjindawat, W., Wilson, R. E., Bullock, S., & de Villafranca, A. E. M. (2019). Modeling the Impact of Spatial Correlations of Road Failures on Travel Times during Adverse Weather Conditions. Transportation Research Record, 2673(7), 157–168. https://doi.org/10.1177/0361198119844251
Yu, H., & Krstic, M. (2021). Output feedback control of two-lane traffic congestion. Automatica, 125, 109379. https://doi.org/10.1016/j.automatica.2020.109379