Arterial Roads Research Articles

Determining of Appropriate Passenger Car Unit Values Due to a Change in Effective Width of Roadway

Legitimately, the passenger car equivalent value is determined based on the type and width of the road as well as the traffic volume. Interestingly, the effective width of roadway often varies due to land topography conditions and level of side friction. Theoretically, the number of survey posts should be determined based on road geometric and environmental conditions because traffic volume is a reflection of the choice of speed. Unfortunately, due to limited funds, traffic volume, travel speed and ride friction surveys were carried out at 1 survey point. As a result. the recommendations for strategies and/or traffic management and engineering techniques could be bias. This study aims to calculate the impact of differences in the effective road width on the equivalent value of passenger cars using the Speed Method. For this reason, a speed survey was carried out on a number of arterial roads in the Kupang urban area. It was found that changes in the effective width of road lanes have a significant impact on changes in motorbike speed so that the use of passenger car equivalent value for motorcycle should be based on the result of field survey, instead of a standardized value as it was recommended by Indonesian Highway Capacity Guide

Performance evaluation of bus stops on arterial roads in Hanoi city

The operations of critical bus stops on arterial roads substantially influence the facility bus capacity and the bus quality of service in terms of schedule reliability. The aim of this article is to employ the methodology in the Transit Capacity Quality of Service Manual (TCQSM) to better understand the performance of key bus stops on arterial roads in Hanoi city. The obtained results shown that the capacities of most examined bus stops (Bus Stops 02, 03, and 04) are considerably lower than the actual demands of buses on the considered roads, and increasing the number of loading areas at bus stops is one of the feasible solutions to effectively improve the capacity of bus stops in Hanoi city. The results achieved provide urban transport management agencies and public transport practitioners in Vietnam with a valuable tool for bus stop capacity measurement and additional information for bus quality of service improvement

Analysis of Factors Influencing Driver Yielding Behavior at Midblock Crosswalks on Urban Arterial Roads in Thailand

Globally, road traffic collisions cause over a million deaths annually, with pedestrians accounting for 23%. In developing countries, most pedestrian deaths occur on urban arterial roads, particularly at midblock crossings. This study analyzes the factors influencing driver yielding behavior at midblock crosswalks on urban arterial roads in Thailand. This study analyzed the factors influencing driver yielding behavior at the midblock crosswalk before and after the upgrade from a zebra crossing (C1) to a smart pedestrian crossing (C2), which is a smart traffic signal detecting and controlling pedestrians and vehicles entering the crosswalk. Video-based observations were used to assess driver yielding behavior, with multinomial logistic regression applied to develop driver yielding behavior models. The results revealed that the chances of a driver yielding at C2 were higher than at C1, and the yielding rate increased by 74%. The models indicate that the number and width of traffic lanes, width and length of crosswalks, vulnerable group, number of pedestrians, pedestrian crossing time, number of vehicles, vehicle speed, headway, post-encroachment time between a vehicle and pedestrian, and roadside parking are the significant factors influencing yielding behavior. These findings propose measures to set proper crosswalk improvements (e.g., curb extensions), speed reduction measures, enforcement (e.g., parking restrictions), public awareness campaigns, and education initiatives.

Study of Urban Arterial Road Off-Ramp Configuration in Highway Municipal Reconstruction

To reduce traffic congestion and improve the overall traffic capacity of roads, the municipal reconstruction of arterial roads from high-grade highways often involves setting up auxiliary roads on both sides of the road. This paper analyzes the existing methods of determining the configuration of urban arterial road off-ramps and proposes a novel design method, includes adding a “waiting for merging” section. Based on the traffic flow characteristics of the main roads, auxiliary roads, as well as off-ramps, second-stage deceleration theory and the insertable gap theory are applied. Considering the worst-case of diverted vehicles, a calculation model for the length of the urban arterial road off-ramps is proposed and utilized to calculate the advisory values for each segment of the off-ramps. Taking the reconstruction of an expressway in Hubei Province, China, as a case study, Vissim traffic simulation software was used to compare the proposed method with the traditional design method under four different traffic volumes. The results show that the proposed design method greatly improves the overall traffic capacity of roads compared with the traditional method, with a reduction of approximately 40% and 60% in delay time and queue length for the overall traffic, respectively. Furthermore, the research results can provide direct and effective design solutions and a basis for decision-making for setting the length of main and auxiliary road off-ramps.

A Study on the Relationship between Road Network Centrality and the Spatial Distribution of Commercial Facilities—A Case of Changchun, China

Using the Urban Network Analysis Tool, the centrality of a road network (closeness centrality, betweenness centrality, and straightness centrality) was calculated, and the POI data of the commercial facilities were reclassified. KDE estimation was used to estimate the centrality of the traffic network, and the correlation coefficient was calculated to explore the spatial relationship between road network centrality and the types of commercial facilities (catering facilities, shopping facilities, residential life facilities, and financial and insurance facilities). The results indicate the following: (1) Closeness centrality displays a discernible “Core–Periphery” pattern, and the high-value areas of betweenness centrality are mainly concentrated around the main arterial roads of the city. In contrast, straightness centrality unveils a polycentric structure. (2) The spatial distribution of commercial facilities demonstrates a notable correlation with the centrality of the road network. From the perspective of centrality, the distribution of residential life facilities is most strongly influenced by road network centrality, followed by financial and insurance facilities and then catering facilities, with the distribution of shopping facilities being the least affected. (3) The centrality of the road network plays a crucial role in shaping the arrangement of commercial facilities. Closeness centrality significantly influences the distribution of residential life facilities, catering facilities, and shopping facilities. Betweenness centrality has a noteworthy impact on the selection of locations for financial and insurance facilities, as well as residential life facilities. Furthermore, areas characterized by better straightness centrality are preferred for the distribution of residential life facilities, financial and insurance facilities, and catering facilities. (4) The centrality of the road network has a greater influence on the arrangement of various commercial facilities than the population distribution.

TPGraph: A Spatial-Temporal Graph Learning Framework for Accurate Traffic Prediction on Arterial Roads

TPGraph: A Spatial-Temporal Graph Learning Framework for Accurate Traffic Prediction on Arterial Roads

The resilience level of Kampung Sekretaris as urban village in response to urban development in the surrounding area

Kampung Sekretaris is an urban village in a rapidly developing urban area. This urban development has transformed the area around Kampung Sekretaris into a commercial zone. Its central location surrounded by commercial area could potentially threaten the existence of the urban village due to its strategic significance. Like many settlements, this urban village faces common issues such as flooding, slums, and inadequate sanitation. Given these challenges, one might expect Kampung Sekretaris to struggle for survival. However, remarkably, Kampung Sekretaris not only persists but also features in the government’s planning program. The aim of this study is to assess the level of resilience displayed by Kampung Sekretaris in response to urban development. The research method employed is quantitative descriptive analysis. Analytical techniques include scoring, which involves the use of Resilience Radar Index indicators, and quantitative descriptive analysis to evaluate Kampung Sekretaris’s resilience to urban development over time. The results indicate that Kampung Sekretaris exhibits a very high level of resilience. The following factors explain the relationship between this result and urban development: (1) Community capacity affects building functions; (2) Social capital influences land use; (3) The interconnectedness is evident through the kampung’s land use as a residential area; (4) The restoration of Kali Sekretaris river serves as disaster preparedness, with no more buildings along its banks; (5) A network of interconnected roads supports disaster evacuation; (6) Arterial roads facilitate the growth of trade; and (7) Changes in the functions of buildings reflect the community’s adaptability in seeking livelihood sources.

Analysis of the Potential of Commercial Corridor Based on Consumer Movement Interactions in Central Jakarta

In the evolving landscape of modern commercial development, the potential of Jakarta’s shopping center corridors has emerged as a key area of interest. Consumer lifestyle behavior shifts, technological advancements, and design innovations have shaped new trends in the retail industry. The development of modern shopping centers has brought significant changes in consumer movement patterns in various metropolitan cities, including Central Jakarta. Utilizing empirical data from bustling shopping centers, the research employs the Huff and Gravity models to analyze consumer movement patterns. These models offer a nuanced understanding of how factors like accessibility, population density, and urban design influence consumer choices. The results show that ITC Roxy has the highest probability of consumer visits, while H. M. Saleh Ishak Street, Sutan Syahrir Street, Dr GSSJ Ratulangi Street, Menteng Raya Street, Kramat Kwitang Street, and Pasar Senen Street have the highest interaction volumes due to their proximity to arterial roads and collectors. The results reveal a significant shift in consumer movement behavior, driven by urban development and demographic changes, underscoring the urgency for adaptive commercial planning.

Comprehending particulate matter dynamics in transit-oriented developments: Traffic as a generator and design as a captivator

In Transit-Oriented Development (TOD), the close integration of residential structures with community activities and traffic heightens residents' exposure to traffic-related pollutants. Despite traffic being a primary source of particulate matter (PM), the compact design of TODs, together with the impact of urban heat island (UHI), increases the likelihood of trapping emitted PM from traffic, leading to heightened exposure of TOD residents to PM. Although PM originates from two distinct sources in road traffic, exhaust and non-exhaust emissions (NEE), current legislation addressing traffic-related PM from non-exhaust emissions sources remains limited. This paper focuses on two TOD typologies in Manchester City—Manchester Piccadilly and East Didsbury—to understand the roles of TOD traffic as a PM generator and TOD place design as a PM container and trapper. The investigation aims to establish correlations between street design canyon ratios, vehicular Speed, and PM10/PM2.5, providing design guidance and effective traffic management strategies to control PM emissions within TODs. Through mapping the canyon ratio and utilising the Breezometer API for PM monitoring, the paper revealed elevated PM levels in both TOD areas, exceeding World Health Organization (WHO) recommendations, particularly for PM2.5. Correlation analysis between canyon configuration and PM2.5/PM10 highlighted the importance of considering building heights and avoiding the creation of deep canyons in TOD design to minimise the limited dispersion of PM. Leveraging UK road statistics and the PTV Group API for vehicle speed calculations, the paper studied the average speeds on the TOD roads concerning PM. Contrary to conventional assumption, the correlation analyses have revealed a noteworthy association shift between vehicular speed and PM concentrations. A positive correlation existed between speed increase and PM increases on arterial roads. However, a negative correlation emerged on main, collector, and local streets, indicating that PM levels rise for both PM10 and PM2.5 as Speed decreases. These findings challenge the traditional assumption that higher Speed leads to increased emissions, highlighting the potential impact of NEE on PM concentrations. This paper calls for thorough design considerations and traffic management strategies in TOD, especially in dense areas, considering building height, optimising traffic flow, and enhancing compromised air quality associated with vehicular emissions.

Safety performance of dedicated and preferential bus lanes using multivariate negative binomial models for Bogotá, Colombia

Public transport priority systems such as Bus Rapid Transit (BRT) and Buses with High Level of Service (BHLS) are top-rated solutions to mobility in low-income and middle-income cities. There is scientific agreement that the safety performance level of these systems depends on their functional, operational, and infrastructure characteristics. However, there needs to be more evidence on how the different characteristics of bus corridors might influence safety. This paper aims to shed some light on this area by structuring a multivariate negative binomial model comparing crash risk on arterial roads, BRT, and BHLS corridors in Bogotá, Colombia. The analyzed infrastructure includes 712.1 km of arterial roads with standard bus service, 194.1 km of BRT network, and 135.6 km of BHLS network. The study considered crashes from 2015 to 2018 –fatalities, injuries, and property damage only– and 30 operational and infrastructure variables grouped into six classes –exposure, road design, infrastructure, public means of transport, and land use. A multicriteria process was applied for model selection, including the structure and predictive power based on [i] Akaike information criteria, [ii] K-fold cross-validation, and [iii] model parsimony. Relevant findings suggest that in terms of observed and expected accident rates and their relationship with the magnitude of exposure –logarithm of average annual traffic volumes at the peak hour (LOG_AAPHT) and the percentage of motorcycles, cars, buses, and trucks– the greatest risk of fatalities, injuries, and property damage occurs in the BHLS network. BRT network provides lower crash rates in less severe collisions while increasing injuries and fatalities. When comparing the BHLS network and the standard design of arterial roads, BHLS infrastructure, despite increasing mobility benefits, provides the lowest safety performance among the three analyzed networks. Individual factors of the study could also contribute to designing safer roads related to signalized intersection density and curvature. These findings support the unique characteristics and traffic dynamics present in the context of Bogotá that could inform and guide decisions of corresponding authorities in other highly dense urban areas from developing countries.

Integrated corridor management by cooperative traffic signal and ramp metering control

AbstractThis paper formulates a cooperative traffic control methodology that integrates traffic signal timing and ramp metering decisions into an optimization model to improve traffic operations in a corridor network. A mixed integer linear model is formulated and is solved in real time within a model predictive controller framework, where the cell transmission model is used as the system state predictor. The methodology is benchmarked in a case study corridor in San Mateo, CA, in VISSIM with two optimization scenarios, namely, optimal metering and optimal signal control, and two simulation scenarios with a preset metering plan and no metering. The numerical results show that integrated traffic signal and ramp metering control reduces delays, stops, and travel times of the corridor by up to 33.1%, 36%, and 16.4%, respectively, compared to existing benchmark conditions. With appropriate weights prioritizing freeway or arterial street operations, the integrated control balances traffic congestion between the arterial street and the freeway.

Modeling of Traffic Noise along Urban Arterials in Irbid City of Jordan

Traffic-related noise pollution is a recurring problem in large and medium-sized cities. The objective of this study is to quantify traffic-noise levels along selected urban arterials and model the generated traffic noise based on traffic and pavement characteristics. Urban arterial and collector streets in Irbid city, Jordan, were taken as a case study. The city is considered an example of a medium-sized city. 65 urban arterial and collector sections were selected to achieve the stated objective. For each section, ten noise measurements were taken using a time interval of 2.5 minutes for each observation. The statistical pass-by method was used to measure 650 externalnoise observations. In addition, data on traffic, pavement and section geometric characteristics was obtained through field measurements. The collected traffic characteristics, including traffic flow, percentage of trucks and speed in each direction of travel, were obtained. In addition to the measurement of pavement macrotexture depth, an international roughness index was measured using a smartphone application. Investigation of the collected noise data indicated that urban streets experienced high noise levels, reaching maximum and average values of 82 and 77.2 dB(A), respectively. The results of the analyses showed that an increase in each of the included traffic characteristics resulted in significantly higher noise levels. For example, an increase in speed from 35 to 55 km/h would increase noise by 2.7 dB(A). In addition, the interaction term of roughness index and pavement macrotexture depth was found to increase the generated noise. Finally, the results of the analysis indicated that both multivariate linear -and exponential-regression models are suitable to model the generated traffic noise. Each model explained approximately 54% of the noise variability. Probably, traffic composition and vehicle-power type heterogeneity might reduce the level of explained variability. Keywords: Traffic noise, Urban arterials, Pass-by method, Noise modeling, Jordan.

Identifying spatio-temporal pattern of electric vehicles involved traffic accidents

The increasing popularity of electric vehicles (EVs) has given rise to concerns regarding emerging safety challenges. To address this, an enhanced spatio-temporal kernel density estimation (STKDE) method is developed, which leverages GIS technologies to analyze the temporal evolution of EV accidents across different locations. Our approach introduces several innovations: (1) The incorporation of network distance to address overestimation associated with the conventional Euclidean distance; (2) Integration of a Severity Index (SI) to rationalize accident weighting; (3) Utilization of a likelihood cross-validation method to determine optimal bandwidths for simplified computation. Additionally, statistical significance tests and a ranking system based on cluster strength are implemented to enhance the accuracy and stability of hotspot identification compared to the traditional kernel density estimation (KDE) method. Empirical analyses reveal spatial trends, indicating a higher likelihood of EV accidents occurring near city administrative centers and along arterial roads. Temporally, our findings show increased daytime hotspot density with distinct morning and evening peaks compared to nighttime. Furthermore, a total of 209 hazardous locations, containing 907 accidents, representing 23.4% of all accidents are filtered. Our improved STKDE approach demonstrates a mean hit rate of 0.553 and a PAI of 5.573, which are 3.5% and 27.5% higher, respectively, than those achieved with SKDEKDE. These insights can assist transportation agencies in implementing targeted interventions and resource allocation strategies.

Analysis of the purpose behind urban planning in accordance with the shifts in the centrality of Hanyang during the early Joseon dynasty

ABSTRACT During the Joseon Dynasty, the construction process of Hanyang (漢陽) underwent multiple cycles of suspension and resumption. While previous studies have often interpreted Hanyang as a city shaped by geographical specificity influenced by Confucianism and feng shui order, this study emphasizes how the initial urban plans diverged during the latter phases, highlighting how the trajectory of city planning evolved based on changing circumstances and conditions. This study employs an analytical approach to trace the evolution and adoption of the purpose behind the urban planning of Hanyang during the early Joseon Dynasty, focusing on the fact that facilities embodying the ideology and purpose of urban development are placed within the city center. Consequently, symbolic centers such as Gyeongbokgung Palace (景福宮), Jongmyo Shrine(宗廟), and Sajik Alter (社稷壇) were established following “Joorye (周禮),” “Gogonggi (考工記),” and feng shui order in Hanyang. However, geographical influences led to partial alterations in the plans, resulting in a curved and modified north-south axis. The development of Hanyang initially prioritized major internal facilities and roads; then it focused on the expansion of the city’s external territorial boundaries. This process, however, resulted in a lack of connection between the city center and its external boundaries. Subsequently, adjustments were made to the urban structure and connectivity by closing and relocating certain city gates. The construction of the Fortress Wall of Hanyang further fortified internal solidarity. The (former) Jongru Bell Tower was positioned at the center, surrounded by a market to enhance visual and spatial centrality. Following the reorganization of the road structures upon King Taejo’s reign, the Jongru Bell Tower’s location shifted to the intersection of the main arterial roads. This adjustment aimed to combine both mobile and spatial centrality. The Jongru Intersection, featuring a large pavilion, was constructed to reinforce its function as an intersection; citizens of Hanyang could thereby recognize this as its city center. The city center of Hanyang underwent transformations over different periods, considering its symbolism, geography, and transportation. In sum, Hanyang was initially constructed in adherence to feng shui and Confucian thought; then, urban development placed a focus on geographical centrality once the city territory was confirmed. Later, as roads were reorganized, centrality shifted towards crucial transportation points.

Comparative evaluation of soundscapes in human activities spatial contexts of pedestrian spaces adjacent to arterial roads

Pedestrian spaces adjacent to arterial roads are characterized by the dominance of traffic noise alongside various human activities. Research on the impact of traffic noise on the soundscape evaluation of pedestrian spaces has not considered human activities spatial contexts. To address this research gap, the present study constructed auditory environments for pedestrian spaces in the contexts of commuting, residential, and commercial activities. A total of seven auditory environments were subjected to laboratory auditory evaluations, including perceived dominance of sound source, acoustic comfort, and perceived affective quality of the soundscape. The results indicated that in pedestrian spaces with constant traffic noise, the presence of significant human activity sounds led to a decreased perceived dominance of traffic noise and an increased acoustic comfort, despite the higher acoustic energy. Thus, pedestrian spaces with a variety of human activity received better soundscape evaluations. The elements that reflected the human activities spatial contexts, including the types and intensity of human activities, played a crucial role in soundscape evaluations. Better acoustic comfort was reported in pedestrian spaces characterized by low-intensity residential activities and high-intensity commercial activities. Additionally, pedestrian spaces with more intense activities offered an actively engaging soundscape. The findings can provide reference for a more accurate evaluation of the soundscape in pedestrian spaces and guide the soundscape design of pedestrian environments.

Lane Reduction and Queue Length Relationship on Arterial and Collector Roads

Geometric diversity of roads for an example is the narrowing of road segments. The purpose of this research is to determine whether lane reduction leads to significant queue lengths, observe the behaviour of drivers on those road segments, and compare the actual queue length to the queue length generated by PTV Vissim. The data used in this study consists of direct observations during peak hours in the morning, afternoon, and evening, along with simulations using PTV Vissim. The queue results obtained from PTV Vissim were validated using two types of tests. The research findings indicate a significant relationship between queue length and lane reduction during peak hours on workdays. However, during the evening peak hours on weekends, the queue length is not significantly affected by lane reduction. As a potential solution, widening each road segment in PTV Vissim was tested, which increased road capacity and slightly reduced the queues that occurred.

Safety Assessment of Suburban-Type Arterial Roadways: New Findings Using Heterogeneity Models

This study investigates the safety performance of suburban-type roads (STRs), a category of medium-speed arterial roads characterized by high vehicular traffic and limited pedestrian and cyclist mobility. Such roadways present unique challenges in road safety, often overlooked in traditional road design focused predominantly on driver needs. By employing a correlated random parameter ordered probit model to analyze police-reported crash severity data from STRs, this research uncovers critical insights into the factors influencing crash injury severities on these roads. Our findings highlight the nuanced impact of various dimensions, such as road design, traffic volume, and environmental conditions, on STR safety; the results offer a detailed understanding of crash contexts on STRs and point toward targeted interventions for enhancing road safety. These interventions include the potential redesign of roadways to accommodate diverse user needs and the implementation of speed regulation measures tailored to specific road characteristics. This research contributes significantly to the existing body of knowledge on suburban road safety, providing evidence-based recommendations for improving the overall safety of these increasingly prevalent road types. The implications of these findings are far-reaching, offering a foundation for future studies to explore diverse methodologies in road safety analysis and to extend this research to other geographic contexts.

A nested grouped random parameter negative binomial model for modeling segment-level crash counts

In this study, a nested grouped random parameter negative binomial framework is proposed to model crash counts at the segment level, a three-level longitudinal framework. The proposed model accounts for correlations along county routes and over time and thus includes a time variable, the year index, to analyze crash counts. The model is applied to crashes on undivided two-lane arterial roads in Ohio from 2012 to 2017. The results present two variants of the model: one with varying intercepts and fixed slopes and the other with varying intercepts and slopes. Both variants have comparable interpretations concerning the fixed parameters, but the latter variant exhibits a significantly improved fit and provides additional information on the interpretations. The results show a significant quadratic relationship between the time variable and the crash count, indicating that, on average, the crash count of segments increases with a decreasing rate as time variable increases. Regarding random parameters, the findings show that 17% of segments within routes and 2% of routes exhibit crash counts that decrease at accelerating downward trend as time variable increases. The effect of the natural logarithm of the segment length varies significantly across different routes, with an increase in this value primarily leading to an increase in crashes. On the other hand, the effect of the total shoulder width also varies across routes, but unlike the former, an increase in this value generally results in a decrease in crashes. The proposed model shows high forecast accuracy for crash count prediction, making it a valuable tool for informed decision-making in safety improvement.

Vulnerability Assessment of Fallen Trees Along Arterial Road of Bukit Soeharto Grand Forest Park Using Google Street View

The incidence of fallen trees along the roadside was widespread across various locations in Indonesia, particularly in areas where trees naturally thrive. Therefore, this research aimed to explore Google Street View (GSV) to obtain information regarding the potential of fallen trees. A novel approach was proposed using panoramic photos available in GSV data from May 2021 and then subjected to testing along Balikpapan–Samarinda Arterial Road, covering a distance of 33 kilometers (Km), which traversed Bukit Soeharto Grand Forest Park (BSGFP). Leaning trees, trees with imbalanced canopy proportion, dying trees, and trees in rough topography became the criteria specified from GSV photos to determine potentially fallen trees. The results showed that 224 trees along Arterial Road met those criteria, translating to approximately 6.79 trees per kilometer of Arterial Road. The analysis revealed that an imbalance canopy proportion was the primary cause of fallen trees, supported by investigations and comparisons with the corresponding GSV photos before the collapse. The Arterial Road Balikpapan-Samarinda poses moderate fallen tree vulnerability, scoring between 25% and 50%.

THE EVALUATION BLACK SPOT LOCATION AND ACCIDENT RISK OF COT PAYA INTERSECTION ACEH BESAR DISTRICT

As the population continues to increase each year, it leads to an increasing demand for transportation, indirectly raising the risk of traffic issues. Simpang Cot Paya, situated on the Laksamana Malayahati road section in the Baitussalam District of Aceh Besar Regency, serves as a secondary arterial road that connects the regency to the city of Banda Aceh and is consistently congested with traffic. According to the Traffic Division of the Banda Aceh City Police from 2018 to 2022, there were 233 reported traffic accidents in this area. This research aims to identify the factors causing these accidents and propose measures to reduce the accident rate at this accident-prone location. Primary data was gathered through field observations and measurements, while secondary data consisted of accident records provided by the Banda Aceh City Police, which were analyzed using the Accident Equivalent Number (AEK) method, Upper Control Limit (BKA), and the Safety Index (SI) method. Additionally, a road safety audit was conducted at the accident-prone location to identify issues that may contribute to traffic accidents and to suggest measures to reduce the risk of accidents. An overall analysis indicates that the highest accident vulnerability occurred in 2018 with the highest AEK value of 126, the highest BKA reaching 2.36, and an SI of 2.36. However, the highest material losses were recorded in 2020, amounting to Rp. 26,600,000. This increase in losses was due to a rise in the number of accidents in 2020, totaling 27, and a higher number of minor injuries, amounting to 29 individuals. In other words, if a location has a Safety Index (SI) greater than 1, it is considered a black spot for accidents. The audit revealed several issues, including fading road markings and a lack of road signs and other road infrastructure. Proposed solutions to address these issues include repainting faded road markings and adding road signs and necessary road infrastructure to improve road functionality.