نتایج جستجو برای: crash hotspots

تعداد نتایج: 17775  

Journal: :medical journal of islamic republic of iran 0
saba jafarpour sina trauma and surgery research center, tehran university of medical sciences, tehran, iran & postdoctoral research fellow department of neurology, boston children's hospital, harvard medical school, boston.سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (tehran university of medical sciences)سازمان های دیگر: sina trauma and surgery research center vafa rahimi-movaghar research vice chancellor of sina trauma and surgery research center, department of neurosurgery, shariati hospital, tehran university of medical sciences, tehran, iran & research centre for neural repair, university of tehran, tehran, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (tehran university of medical sciences)سازمان های دیگر: research vice chancellor of sina trauma and surgery research center

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...

Journal: :Sustainability 2022

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...

Journal: :Sustainability 2021

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...

2010
Srinivas Reddy Geedipally

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...

2017
Pei-Fen Kuo

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...

2014
Luciano de Andrade João Ricardo Nickenig Vissoci Clarissa Garcia Rodrigues Karen Finato Elias Carvalho Ricardo Pietrobon Eniuce Menezes de Souza Oscar Kenji Nihei Catherine Lynch Maria Dalva de Barros Carvalho

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...

2017
Junhua Wang Yumeng Kong Ting Fu Joshua Stipancic

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...

ژورنال: Journal of Railway Research 2019

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 ...

Journal: :Geomatics, Natural Hazards and Risk 2022

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 ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علم و فرهنگ - دانشکده مهندسی 1391

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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