Vehicle Volume Research Articles

Analysis of the Application of Underpass at the Cibiru Roundabout Using PTV VISSIM

Traffic congestion is a persistent global issue, particularly in densely populated cities like Bandung, Indonesia. The construction of an underpass offers a potential solution to reduce congestion at high-density intersections, such as the Cibiru Roundabout, which connects JL. Soekarno-Hatta, JL. Cibiru, and JL. A.H Nasution. This research analyzes traffic performance and assesses the feasibility of implementing an underpass at this location. A quantitative descriptive research method was used, with data collected through field measurements of vehicle volume and speed. The analysis followed the Indonesian Road Capacity Guidelines (PKJI) 2023 to evaluate capacity, degree of saturation, and service level. Using PTV VISSIM software, simulations were conducted to project traffic conditions over the next ten years, considering a 5% annual growth rate. Results indicate significant congestion, with service levels reaching "F" across various segments. Simulation outcomes suggest that an underpass would improve traffic flow by increasing capacity, reducing delays, and shortening queues. This study provides a valuable reference for urban planners seeking effective interventions in other cities facing similar traffic challenges.

Информационно-аналитическая система детектирования движения объектов на пешеходном переходе

To manage pedestrian and vehicle flows at intersections, systems are implemented that use adaptive traffic light models, adjusting time intervals based on the volume of pedestrians and vehicles. These systems include video cameras that monitor road user movements, enhancing real-time traffic control. This paper introduces an information and analytical system for managing transport and pedestrian flows using the YOLO neural model, which enables object recognition. The system performs several operations: converting the original image to gray scale, applying Gaussian blurring, detecting object boundaries through the Canny filter and fuzzy logic for edge detection, and contour processing, where each identified contour is assigned a unique number. The neural network then compares detected contours to the training sample data, determining whether the object is a person or a vehicle. The paper presents experimental results for these algorithms in object recognition. Modified software and images of intersections with pedestrian crossings captured from street video cameras in Kursk were used in the experiments. The recognition accuracy rate from the experiments was 72.4%.

ANALISIS PERSEPSI KEBISINGAN PADA RUAS-RUAS JALAN DI SEKITAR PERUMAHAN NASIONAL MONANG-MANING DENPASAR-BARAT

The urban population continues to increase due to uncontrolled urbanization. This increase in population is in line with the increasing ownership of private vehicles which causes an increase in the volume of vehicles on the roads. On the other hand, it is very difficult to increase road capacity due to the dense use of land. As a result, the volume of traffic exceeds road capacity, causing congestion and impacting noise. This study was conducted in the National Housing Monang-Maning area, West Denpasar, an area that experiences noise exceeding the noise level standard. The purpose of this study was to analyze public perceptions of noise levels. A total of 125 questionnaires were distributed to people living in the area. This perception data was analyzed using multiple linear regression statistics. The results showed that the variables Traffic Volume, Road Conditions, and Population Number had a significant positive effect on the Noise Level that occurred in the Perumnas Monang Maning area, both partially and simultaneously. The Sig. values ??were obtained, respectively, of 0.000 <0.050; t count of 6.263; 4.737; 8.360 > ttable = 1.980; and Fcount = 72.763 > Ftable = 0.071; determination coefficient R2 = 63.50%; obtained model: Y = 5.331 + 0.295X1 + 0.229X2 + 0.344X3. The Population Variable has the largest coefficient, which means it has the greatest influence on noise levels

Controlling Detour Vehicle Volume for Stable Congestion Mitigation in Route Guidance Systems

Controlling Detour Vehicle Volume for Stable Congestion Mitigation in Route Guidance Systems

Penanganan Simpang tak Bersinya: Studi Jalan Simpang Haji Rais Kota Tangerang Selatan

The intersection of Jalan H. Rais is where 3 (three) roads meet, namely Jalan H. Jamat Gang Rais, Jalan Puspitek Segment 1, and Jalan Puspitek Segment 2. This intersection often experiences long queues due to inadequate intersection capacity so that it cannot accommodate the volume of vehicles during morning and evening rush hours. The research method used was a direct survey method at the research location to collect traffic data at the H. Rais intersection and the surrounding roads. The research results found that the average length of the queue before handling during peak hours on weekdays was 168.52 m and delays were 35,471 with an intersection service level (LOS) D, while the average length of the queue before handling during peak hours on holidays was 119 .82 m and a delay of 33.52 with a level of service (LOS) D. H. Rais intersection performance for the next 5 years, before handling becomes worse with the result that the average queue length during weekday peak hours is 219, 64 m and a delay of 49,137 with an intersection service level (LOS) E, while the average queue length during holiday peak hours is 218.28 m and a delay of 43,635 with an intersection service level (LOS) E. Handling that needs to be done at the intersection H. Rais road in short-term scenario 1 is by providing road equipment facilities and assignment of traffic officers, and in short-term scenario 2 by widening the bend radius to a minimum of 7.8 m and widening the H. Jamat Gang Rais road to 6 m, while The treatment carried out at the H. Rais intersection in the long term is to change the Puspitek road type to 4/2-T with a width of 6 m per direction.

PENGARUH VOLUME KENDARAAN TERHADAP KERUSAKAN JALAN PADA RUAS JALAN LEMBAR SELATAN - KEBUN AYU

Roads are an important factor in ensuring continued comfort and safety for all motorists, based on observations in the field, the condition of the South South Sheet crossing road to Kebun Ayu, which is approximately 5.7 km long, needs to be taken seriously and handled seriously by the government because the condition of the road has many potholes and bumps. The aim of this research is to determine the effect of vehicle volume on the level of road damage, and to determine the relationship between vehicle volume and the level of road damage on flexible pavement. This research is a case study research on the South South Sheet crossing road to Kebun Ayu. The data used in this research is secondary data such as road data and traffic volume data obtained from the West Lombok Regency Bina Marga service. Meanwhile, primary data obtained directly in the field includes vehicle volume data recorded during peak hours. The results of field data analysis showed that the road damage value (Nr) on the Southsheet – Kebun Ayu road was obtained with an average value (Nr) of 68.2; The traffic volume at peak hours based on passenger car units (pcu/hour) on the Kebun Ayu – South Sheet road is 560 pcu/hour, and in the South South Sheet - Kebun Ayu direction it is 546 pcu/hour. The equation for traffic volume analysis related to the value of road damage and time is Y = 0,025 X1 + 0,101 X2 + 25,74 with the magnitude of R2 or the correlation between variable x and variable y of 0.86 or 86%

Influence of walkability parameters on people’s mobility in a pilgrimage town: a case study of Nanjungud, India

ABSTRACT Pilgrimage represents a sacred journey to religiously significant places. Recent studies highlight a 35 times increase in travel to pilgrimage sites from 1991 to 2019 in India. This surge in pilgrim numbers underscores the growing need for improved mobility infrastructure to ensure a comfortable environment. The study investigates the relationship between street-level walkability indicators on mobility within a pilgrimage town, Nanjungud in India. Through field surveys, we documented four crucial environmental indicators tailored for Indian conditions: sidewalk availability, green view, aspect ratio, and connectivity. Both vehicle and pedestrian volumes are measured using gate count method at 22 different locations of the study area on weekdays and weekends. SPSS is utilized for analysing the correlation. The findings reveal a statistically significant, albeit moderate, correlation between sidewalk availability and pedestrian volume during day time (0.446). However, pedestrians were observed walking on the streets where the sidewalks are discontinuous. Additionally, there tends to be less of green view in the most populated streets, and a noticeable negative correlation of aspect ratio with sidewalk availability (−0.444). The study highlights the need to prioritize improvements in sidewalk infrastructure and urban shading enhancing the overall pilgrimage experience.

Analisis Preferensi Bahan Bakar Minyak Subsidi dan Non Subsidi Di Purwokerto

The need for fuel oil for the transportation sector increases every year, while non-renewable energy reserves are increasingly depleting. Subsidized fuel oil is seen as not on target, the heavy burden of fuel oil subsidies limits fiscal space so that APBN allocations for other development sectors are limited. The increase in fuel prices is one of the considerations in choosing fuel. This research aims to analyze the factors that influence fuel oil preferences in North Purwokerto. The sample in this study amounted to 96 respondents who were calculated using the Lemeshow formula. This research uses logistic regression analysis. The results of the logistic regression analysis show that vehicle age, engine capacity, income, gender, and volume of fuel use have a significant effect on preferences for subsidized and non-subsidized fuel oil in North Purwokerto. Meanwhile, type of vehicle, number of family dependents, type of work, regional origin and social status do not have a significant effect on preferences for subsidized and non-subsidized fuel oil in North Purwokerto. The implication of this research is the need to increase consumer knowledge about the use of fuel oil that is adjusted to vehicle conditions. The government can make policies so that subsidized fuel can be received by people who are entitled to need it.

Analysis Of Multi Lane Free Flow Implementation At Toll Gates In Indonesia (Case Study Of Cililitan Toll Gate 2)

As the volume of vehicles on toll roads and non-toll roads increases, congestion occurs when the road capacity can no longer accommodate the volume of vehicles passing through it. one of the most crowded toll roads in Indonesia is the Jagorawi Toll Road. Congestion often occurs at several points along the Jagorawi Toll Road, especially the Cililitan Toll Gate. Congestion at the Toll Gate often occurs because the level of service at the Toll Gate does not match the level of vehicle arrivals during peak hours. Therefore, in the research “Analysis of Multi lane Free Flow Implementation at Toll Gates in Indonesia (Case Study of Cililitan Toll Gate 2)”, this study aims to determine the performance and impact on vehicles at Cililitan Toll Gate 2 that are still using E-Toll and its effect on Vehicle Operating Costs (VOC) if the E-Toll system and MLFF system are installed at Cililitan Toll Gate 2. Therefore, using the analysis method with the help of Microsoft Excel can analyze data on the performance of E-Toll and VOC and survey data processing using SPSS. Based on the research findings, on Wednesday, March 6, 2024 has a delay time on the E-Toll payment system of 49 seconds. And also obtained the value of VOC when MLFF is applied (at a speed of 60 km / h) is lower than the value of VOC when E-Toll is applied (at a speed of 9.72 km / h) resulting in congestion costs of Rp. 3,653.75 / km for passenger cars, Rp. 1,113.66 / km for medium vehicles, Rp. 4,014.32 / km for large buses and Rp. 8,045.89 / km for large trucks.

Analysis of Characteristics and Service Level of Pedestrian Facilities: Case Study of Ubud Tourist Destination, Gianyar Regency, Bali Province, Indonesia

The purpose of this study was to analyze the characteristics of sidewalks and pedestrians, the level of service and the type of pedestrian crossing facilities that are appropriate on Jalan Raya Ubud. Primary data collection using manual survey methods, including road geometric data, pedestrian volume, pedestrian speed, volume of road crossers and vehicles. Secondary data collection use literature study methods which include the location maps and population. Data analysis based on the guidelines of the Ministry of Public Works (2014). Based on the results of the analysis, the average width of the North and South sidewalks is 1.4 m with an average effective width of the North sidewalk is 0.9 m, while on the South sidewalk the average effective width of the sidewalk is 0.95 m. The largest pedestrian flow on the North and South Sidewalks on weekdays and holidays occurs in the afternoon with a total of 520 p/h with an average speed of 4.32 km/h, a density of 12 p/100 m2 and 8 m2/p pedestrian space for the North sidewalk, and the South sidewalk with a flow of 389 p/ h with an average speed of 3.72 km/h, a density of 10 p/100 m2, and 10 m2/p pedestrian space. On holidays, the flow is 744 p/ h with an average speed of 2.63 km/ h, a density of 28 p/100 m2 , and a pedestrian space of 4 m2 /org for the North sidewalk. While the South sidewalk has a flow of 351 org / hour with an average speed of 4.06 km / hour, a density of 9 org / 100 m2 , and a space of 12 m2 /org. The level of service of the North and South sidewalks on weekdays is included in the “B” category. The level of service of the North sidewalk on holidays is in the “C” category and the South sidewalk is in the “B” category.

Analisa Kinerja Jalan terhadap Kecepatan Kendaraan di Ruas Jalan Lingkar Barat Tiga Kenali Besar Kota Jambi

This research aims to identify the main factors that influence vehicle speed. Analyzing the level of service on the West Ring Road 3 in Kenali Besar, Jambi City. Researchers use quantitative methods where data is taken by carrying out direct observations in the field. The objects aimed at by researchers are road geometric data, vehicle volume, vehicle travel time, traffic volume and vehicle speed obtained by conducting surveys and direct measurements in the field. The main factor that influences vehicle operational speed is the number of motorized vehicles and heavy vehicles that exceed road capacity. Where the average number of light vehicles at peak hours is 8,434 and heavy vehicles 1,524. With the average highest speed of motorized vehicles being 30 KM/hour and heavy vehicles 15/14 KM/hour. Level of Service on the West Ring Road Section 3 with a Degree of Saturation value from the direction of Pall 10 - Simpang Rimbo or vice versa from the direction of Simpang Rimbo - Pall 10 has a service value of C (0.45-0.74) in the stable flow zone. Drivers are limited in choosing speed

Analisa Kerusakan Jalan Akibat Beban Kendaraan di Gerbang Masuk Kota Jambi Paal 10 – Simpang 4 Paal 10 Kota Jambi

The Palembang - Jambi highway is a very busy route. Along the road at the entrance to Jambi City, Paal 10 - Simpang 4 Paal 10, Jambi City is passed by many vehicles because this road is one of the roads that is open to pass through heavy vehicles carrying loads. This is also one of the causes of rapid damage to flexible road pavement. The aim of this research is to determine the average daily traffic volume of vehicles passing through the asphalt pavement at the entrance gate of Jambi City, Paal 10 - intersection 4 Paal 10, Jambi City, to find out the effect of vehicle load on the level of road damage on the entrance gate of Jambi City. Paal 10 – Simpang 4 Paal 10 Jambi City. This research method uses guidelines from Bina Marga Pd T-14-2003. Average daily traffic data (LHR) on the entrance road to the city of Jambi Paal 10 – intersection 4 Paal 10 Jambi City on Saturday is 6,702 vehicles, on Sunday it is 6650 vehicles and on Monday it is 6719 vehicles. From this data, the total LHR from the vehicle analysis results is 1115 vehicles/hour. and the results of the Truck Factor calculation are 3.775 > 1, where this value shows that the condition of the damage to the road at the entrance to the city of Jambi Paal 10 - intersection 4 Paal 10 Jambi city is due to the excessive load of vehicles passing through it. The excessive load factor that occurs causes 2 types of damage, namely groove distortion with a high level of damage and alligator cracks.

Cycle fatalities in Delhi and their risk factors

There is a lack of research that investigates the risk factors of cycling in low- and middle-income countries. We present descriptive epidemiology of crashes that involved at least one fatal cyclist, over a three-year period (2016–2018) in Delhi, India. Next, we used an unmatched case-control approach to identify road design risk factors of cycle fatalities. Cases were road segments with at least one cycle fatality, and controls were those with none. We developed logistic regression models with cases and controls as binary outcomes to estimate the odds ratio of site characteristics. There were 167 crashes involving at least one cyclist fatality over the study period. Fatal cyclists were almost all males. They were less likely to be children or young adults and less likely to be residents of high-income localities, compared to the general population. One in ten crashes included more than one occupant on a cycle and 5% of fatal victims were pillion riders. Seventy percent crashes occurred at midblock, and majority were backend collisions. Regression shows that road width, traffic speed, and volume of heavy vehicles have strong positive effects on the fatality risk of cyclists. These results can inform strategies to design interventions for safety of cyclists.

Green Lane Planning for Safety, Beauty, and Reduction of the Diffusion of Air Pollutants to the Environment in the Boyolali Interchange on Semarang-Solo Toll Road

Abstract The high mobility of people requires fast transportation making toll roads as an alternative route to break up congestion and shorten the distance to a place. The availability of toll roads that are passed by many motorized vehicles, causes air pollution. To reduce the impact of air pollution, greenery is needed that can absorb exhaust emissions. In this study, motor vehicle exhaust emissions focus on NO2 gas. The purpose of this study was to analyze the emission of NO2 gas pollutants from motor vehicles, the absorption capacity of NO2 by vegetation, and to plan green lane that can improve the quality of the interchange landscape. The research was conducted at the Boyolali Interchange. The research method used is descriptive-quantitative based on the potential and constraints on the site, as well as analysis of emissions and vegetation that can absorb NO2 gas pollutants. Based on the results of the analysis, the development of green lane space is divided based on the function of vegetation which includes clear zone, cushion planting, aesthetics, identity, conservation, and guides which it supported with trees, and shrubs. The area of land that has the potential to be developed into green lane is 41,956.3 m2. The volume of vehicles is 66,637 per day with the resulting NO2 gas emission of 57.797 g. After planning, the emission that can be absorbed by plants is 48,293.50 g. Planned green lane of the Boyolali Interchange can reduce 83,56% of NO2 gas emissions released by motorized vehicles.

Performance Evaluation of Urban Road Sections on The Taman - Sepanjang Highway

munity activities which are dominated by shops, offices and education activities and are directly adjacent to dense residential communities. The volume of vehicles passing through this road is quite dense, such as motorbikes, light vehicles and heavy vehicles, plus side obstacles that disrupt the smooth flow of traffic, especially during peak hours. The method used for this research is the 1997 Indonesian Road Capacity Manual (MKJI) method and the main indicator is the degree of saturation (DS). The results of the analysis show that the performance of the Taman - Sepanjang Highway sections (Highway Kalijaten Segment and Ngelom Segment) in existing conditions does not meet the 1997 MKJI feasibility standards. The degree of saturation value for highway Kalijaten is 1.00 and highway Ngelom is 0.87. So both roads need to improve road performance. The alternatives are widening the road, the saturation degree (DS), widening the road and removing side obstacles, become a one-way road. By implementing those alternative, Taman - Sepanjang Highway was expected to meet degree of saturation by MKJI standard.

Dampak Jumlah Kendaraan Besar terhadap Kemacetan Lalu Lintas di Jalan Tol

The construction and development of road infrastructure, especially toll roads in Indonesia, is often a national strategic project. The purpose of toll roads is to reduce congestion on main roads, and improve the distribution of goods and services. However, congestion also occurs on toll roads, one of which is caused by large low-speed vehicles as a mode for the distribution of goods and services. This study aims to analyse the impact of large vehicles on road performance on the Jakarta-Tangerang toll road. Congestion is expressed in degrees of saturation. Vehicle volume and average vehicle speed as secondary data in this study. Calculations using PKJI 2023 on Freeway. The data was analyzed using Microsoft Excel application and tested regression with SPSS application. Based on the analysis results, the degree of saturation increases as the number of vehicles increases, so that the average vehicle speed decreases. The degree of saturation calculated on the volume of vehicles of all classes has a significant influence on the vehicles average speed that have the potential to cause congestion by 87% and the remaining 12% is influenced by other factors.

An analytical study Of Vehicular Effects on Sound in Residential, Silent And Mixed zones Of Sylhet

Noise is a form of environmental pollution that influences our life and comfort. Because of growing populations and increasing urbanization, noise is more common and is getting worse. Sylhet is one of the Bangladesh's most rapid growth cities. In recent years, it has experienced unprecedented population increase. During the past decades, there has been a noticeable growth in the number of individuals moving to Sylhet City from other regions of the nation, particularly for jobs and education. As the lifestyle and facilities of this city increase compared to the suburbs and countryside areas, nowadays vast amounts of individuals are interested in living in the Sylhet city. As the population is increasing, the number of transport facilities (volume of vehicles) are also increasing. To be more specific, the number of private cars ownership is increasing day by day. As a result, now the sound level is increasing much more than the standard level. Throughout the working days, between 6 am and 12 am, noise levels were monitored at 15 significant places (residential, silent and mixed zones) across the city. A sound meter was used to conduct the study. Vehicular data were converted to passenger car unit (PCU) conversion factor. Geometric design standard manual (LGED, 2005) was used to calculate PCU by passenger car factor or passenger car equivalent. “Environmental conservation rules-1997” was considered as basic to analyze the data. The study was conducted to quantify the amount of noise pollution that happens in the city's mixed, residential, and silent zones. It also revealed the impact of vehicular noise. It was found that most of the time the sound level at every site remained consistently much above the allowable limit and vehicular noise played a significant role in every case. GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 10(1), 2023 P 10-16

Deep Learning Approach for Traffic Congestion Sound Classification using Circular Neural Networks

Traffic congestion has become one of the main problems that occur in big cities around the world. Traffic congestion also has a negative impact if not handled seriously. Traffic congestion occurs because there is a buildup of vehicle volume that exceeds the capacity of the road. The efficiency and quality of living in cities can be negatively impacted by traffic congestion, which can also result in higher fuel consumption, pollution, and delays. There needs to be a method that can overcome and identify this. Therefore, by classifying sounds, this research aims to reduce traffic congestion. The author uses deep learning with the Convolutional Neural Network (CNN) method as the algorithm model. The model employs Mel-Frequency Cepstral Coefficients (MFCC) as the primary feature extraction technique to capture the essential characteristics of the audio signals. This research is expected to be able to classify traffic congestion sounds with good accuracy, so it can be used as a solution to overcome traffic congestion. Experiments were conducted using a training dataset, and for testing, the road sound dataset has been collected at traffic light intersections. To evaluate the proposed method, the implementation showed promising results, achieving an accuracy of 97.62% on the training data and 88.19% on the test data in classifying traffic congestion sounds.

Comparative Analysis of Mlipahan Signaling Intersection Performance Using Vissim Ptv Software and Mkji Method 1997

The growth of motor vehicles in Surakarta from year to year always increases while road capacity does not develop. Therefore, there are often traffic jams everywhere. The discipline of every road user also plays an important role in overcoming congestion on the highway. Stages carried out from problem formulation, research objectives, and literature review, Then preliminary surveys, geometric surveys, vehicle volume surveys, and vehicle speed surveysMonday saturation degrees (DS) decreased after changing the cycle time. This means that the traffic volume at the Mlipahan intersection has decreased due to the resetting of traffic lights on Monday Road capacity: north 1,647 smp / hour, south 1,610 smp / hour, west 786 smp / hour, east 1,348 smp / hour. Saturation Degrees: North 1.15, South 1.12, West 1.15, and East 1.13. Queue Length: North 203 m, South 195 m, West 93 m, and East 145 m. obtained a value of 210 sec/smp. Sunday obtained Road capacity: North 1,763 smp / hour, South 1,549 smp / hour, West 818 smp / hour, and East 1,050 smp / hour. Saturation Degree: North 0.54, South 0.51, West 0.95, and East 0.91. Queue Length: North 92 m, South 89 m, West 87 m, and East 104 m. And the delay was obtained at 36 sec/smp. With PTV-VISSIM software, the queue length is obtained: North 97 m, South 129 m, West 198 m, and East 83 m. The delay was obtained at 72 sec/skr. And Service Level Intersection F or poor.

Enhancing Pedestrian Safety by Providing a LiDAR-Based Analysis of Jaywalking Conflicts at Signalized Intersections

Motives: In response to the inherent vulnerability of pedestrians in urban settings, this paper is driven by a commitment to enhancing their mobility and safety. Recognizing the prevalence of jaywalking as a significant concern, the study seeks practical solutions through the application of LiDAR sensors at signalized intersections. By delving into the complexities of jaywalking events and their contributing factors, the research aims to provide valuable insights that extend beyond mere statistical analysis. The motivations behind this endeavour lie in the imperative to comprehensively understand and address the risks associated with jaywalking, ultimately fostering a safer environment for pedestrians navigating urban crossroads. Aim: The primary aim of this paper is to assess and analyse the diverse factors influencing the frequency of jaywalking at signalized intersections, leveraging the capabilities of LiDAR sensors for safety applications. Through a meticulous examination of 1000 jaywalking events detected over a six-month period, the study aims to pinpoint highly correlated independent variables to the frequency of jaywalking events. These variables include traffic signal controller patterns, signal phases, vehicle-pedestrian conflicts, weather conditions, vehicle volume, walking patterns toward the median, pedestrian volume, and the unique jaywalker’s ratio. Employing advanced statistical regression models, the research seeks to identify optimal models and unravel key insights into the nuanced dynamics of jaywalking behaviour. The overarching goal is to equip decision-makers and transportation specialists with data-driven knowledge, enabling them to implement targeted safety measures that mitigate pedestrian risks and enhance safety infrastructure at critical urban crossroads. Results: The outcomes of the study, derived from the optimal Poisson regression model, yield crucial insights into the multifaceted nature of jaywalking events at signalized intersections. The morning and mid-day signal controller patterns exhibit a substantial decrease of 44.7% and 34.4%, respectively, compared to the evening (PM) pattern, shedding light on temporal nuances in jaywalking behaviour. Additionally, the severity of vehicle-pedestrian conflicts escalates proportionally with the number of jaywalkers, emphasizing the importance of addressing pedestrian flow in mitigating potential conflicts. Notably, the presence of vegetation in the median emerges as a significant factor, significantly increasing the frequency of jaywalking. These results contribute to a nuanced understanding of the intricate interplay between environmental, temporal, and behavioural factors in jaywalking incidents. Decision-makers and transportation specialists can leverage these findings to formulate targeted safety interventions, fostering a safer pedestrian experience at crucial urban crossroads