نتایج جستجو برای: crash hotspots
تعداد نتایج: 17775 فیلتر نتایج به سال:
road traffic crashes (rtcs) account for great mortality and morbidity rates worldwide, resulting in substantial global burden. factors contributing to rtc generally fall into three categories: environmental, vehicle, and human, with the human factor being by far the leading determinant. obtaining an in-depth exploration of driving behavior and factors underpinning risky driving could be of part...
Significant research has been conducted in recent years to determine crash hotspots. This study focused on the effects of various traffic parameters, including average speed and volume, spatial distributions freeway crashes. Specifically, this analyzed crashes Qazvin–Abyek Iran using four-year records. Spatial clustering analysis was performed identify hotspots high cluster segments global Mora...
Significant risk factors that influence the occurrence of heavy vehicle accidents have been explored in numerous studies order to lower injury severity traffic accidents. It is imperative explore road sections with a high accident by considering significant consequences such for users, despite low number vehicles flow. To address this, this study proposes method predict clustering hotspots on b...
There has been considerable research conducted on the development of statistical models for predicting motor vehicle crashes on highway facilities. These models have often been employed to estimate the number of crashes per unit of time for an entire highway segment or intersection, without distinguishing the influence different sub-groups have on crash risk. The two most important sub-groups t...
Data-Driven Approaches to Crime and Traffic Safety (DDACTS) integrate crash and crime data to design more efficient patrol routes for high visibility traffic enforcement. These new policies allow police to more effectively allocate their limited resources. Although the DDACTS model seems to work well in the United States, it is necessary to thoroughly study its effects before applying it in oth...
BACKGROUND Road traffic injuries (RTI) are a major public health epidemic killing thousands of people daily. Low and middle-income countries, such as Brazil, have the highest annual rates of road traffic fatalities. In order to improve road safety, this study mapped road traffic fatalities on a Brazilian highway to determine the main environmental factors affecting road traffic fatalities. ME...
This paper presents the use of the Aimsun microsimulation program to simulate vehicle violating behaviors and observe their impact on road traffic crash risk. Plugins for violations of speeding, slow driving, and abrupt stopping were developed using Aimsun's API and SDK module. A safety analysis plugin for investigating probability of rear-end collisions was developed, and a method for analyzin...
This research presents a risk-based Hotspots identification model at highway-rail grade crossings in Canada. Two sets of models were developed to predict collision frequency and consequence at individual crossings. A two–dimensional graphic approach was adopted to combine these two models together to predict the risk at each crossing. Hotspots based on collision history tended to be widespread ...
Increased occurrence of road traffic crashes in Kano metropolis has resulted a steady loss lives, injuries, and increased people's risk exposure. This study looked into the emergency response to Kano, with view improving efficiency by developing linkages synergy between Emergency Healthcare Facilities (EHCF), ambulances, crash hotspots. The geographical location attributes major EHCF, hotspots ...
توزیع های چند متغیره، نقش مهمی در تئوری آمار وکاربردهای آن داشته است، بنابر این همواره مورد توجه محققان و دانشمندان علوم مربوطه بوده. نکته ی مهمی که بیشتر پژوهشهای محققان را به خود اختصاص داده، بدست آوردن و یا بررسی توزیع های چند متغیره بوسیله ی توزیع های حاشیه ای آنهاست. می دانیم که با داشتن توزیع مشترک، دستیابی به توزیع های حاشیه ای چندان مشکل نیست. اما در مورد ساختن توزیع مشترک و بررسی ویژگ...
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