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ANALYSIS OF TRAFFIC ACCIDENTS IN THE WEST SURABAYA REGION (CASE STUDY: KALIANAK ROAD TO ROMOKALISARI HIGHWAY) Eka Safitri; Hadi Putra, Kurnia; Chandra Agusdini, Theresia Maria
Journal Innovation of Civil Engineering (JICE) Vol 4 No 2 (2023)
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jice.v4i2.20845

Abstract

The high volume of heavy vehicle traffic on Kalianak Street, Greges, Tambak Langon, Tambak Osowilangun and Romokalisari causes the roads to become increasingly congested, which causes frequent traffic accidents. Accident data used for 2017, 2018, 2019, 2020, 2021 and 2022 to determine accident-prone areas using the z-score method, the number of accidents for each level of victim severity using the Accident Rate method and to determine the amount of loss caused by accidents using the Gross method Output (Human Capital). The results of the analysis show that the highest number of accidents was in 2017 - 2016 for the classification of deaths, serious injuries and minor injuries on Romokalisari Street with an accident rate of 0.246 people per 1 million vehicle kilometers per year, the classification of seriously injured victims was 0.092 people per 1 million vehicle kilometers per year in Kalianak and minor injury victims of 0.406 people per 1 million vehicle kilometers per year on Romokalisari Street. The accident-prone area (Blacksite) with the largest value is the Tambak Osowilangun Z-Score for 6 years of 1.45 and the last year of 1.14. Total costs for accident victims based on the Gross Output (Human Capital) method for each year; 2017 amounting to IDR 12,529,506.23, in 2015 IDR 11,439,656,822, in 2019 IDR. 13,324,550,588, 2020 Rp. 11,010,983,853, in 2021 Rp. 19,071,950,542 and in 2022 Rp. 26,214,460,693. Keywords: Traffic Accident; Amount of Casualty Costs Accident; Z-Score; Kalianak Road; Tambak Langon – Osowilangun; Romokalisari Highway.
Analysis Of A Signalized Intersection Using The PKJI 2023 Method And PTV Vissim 22 Modeling (Case Study: Jl. Kedung Cowek – Jl. Kenjeran – Jl. Putro Agung) Oktaviana, Riska Oktaviana; Putra, Kurnia Hadi; Chandra Agusdini, Theresia Maria; Sekartadji, Ratih Sekartadji
Journal of Civil Engineering, Planning and Design Vol 4, No 2 (2025): November
Publisher : Faculty of Civil Engeneering and Planning - ITATS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jcepd.2025.v4i2.7854

Abstract

Signalized intersections or traffic light control systems (APILL) are important elements in urban road networks that function to regulate vehicle flow to be more orderly and safe. The Kedung Cowek Road, Kenjeran Road, and Putro Agung Road intersection is a signalized intersection with high traffic volume and serves as a strategic junction point in the North Surabaya area. This research aims to analyze the performance of the intersection using the Indonesian Road Capacity Guidelines (PKJI) 2023 method, as well as model and simulate improvement alternatives using PTV Vissim version 22 software. The analysis stages begin with collecting daily traffic volume data, intersection geometric data, and existing signal control data. The data is analyzed using the PKJI 2023 method to obtain capacity values, degree of saturation, delay, and queue length for each approach. The existing condition analysis results show that several approaches experience a degree of saturation exceeding the ideal threshold (0,85) as well as high delays. As a solution, simulations of several alternatives were conducted, namely signal phase rearrangement, approach widening, and flyover construction from Kedung Cowek Road to Kenjeran Road. Simulation with PTV Vissim shows that flyover construction can significantly reduce the degree of saturation and delays compared to existing conditions and other alternatives. Therefore, the combination of the PKJI 2023 method and microsimulation is considered effective as a planning basis for improving signalized intersection performance.