Results 11 to 20 of about 59,718 (197)
Identification of potential traffic accident hot spots based on accident data and GIS [PDF]
The problem of road traffic safety has been widely concerned in recent years. The identification of traffic accident hot spots can effectively improve the road traffic safety and let the traffic managers formulate targeted improvement measures and ...
Zhu Hongge, Zhou Yuntong, Chen Yanyan
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Trends in traffic accident mortality and social inequalities in Ecuador from 2011 to 2022. [PDF]
Holguín-Carvajal JP +7 more
europepmc +3 more sources
Accident Detection and Flow Prediction for Connected and Automated Transport Systems
Effective accident detection and traffic flow forecasting are of great importance for quick respond, impact elimination and intelligent control of the traffic flow consisting of autonomous vehicles. This paper proposes a traffic accident detection method
Yi Zhang +4 more
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Traffic Accident Data Generation Based on Improved Generative Adversarial Networks
For urban traffic, traffic accidents are the most direct and serious risk to people’s lives, and rapid recognition and warning of traffic accidents is an important remedy to reduce their harmful effects.
Zhijun Chen +3 more
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ACQUISITION AND ANALYSIS OF TRAFFIC ACCIDENT SCENE INFORMATION BASED ON LASER POINT CLOUD [PDF]
With the rapid development of the economy, the number of vehicles in China has increased rapidly, which has also brought about frequent ills in traffic accidents.
Y. M. Zheng +4 more
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The relationship between traffic accidents and meteorological conditionson the Hang-Jinqu highway
Based on the traffic accident data and meteorological observation data around the Hang-Jinqu expressway from 2006 to 2016, the temporal distribution of traffic accidents on the Hang-Jinqu expressway and its response relationship with meteorological ...
Jian LI +3 more
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Detecting road accident impacts as promptly as possible is essential for intelligent traffic management systems. This paper presents a sequential two-stage framework for predicting the most congested traffic level that appears after an accident and the ...
Amirhossein Abdi +2 more
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This study analyzed factors influencing clinical symptoms and treatment of patients with traffic accident injuries. It used a retrospective chart review and questionnaire survey obtained from 560 patients (266 men and 294 women). It also conducted follow-
Kwanghwi Kim +10 more
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Traffic Accident’s Severity Prediction: A Deep-Learning Approach-Based CNN Network
In traffic accident, an accurate and timely severity prediction method is necessary for the successful deployment of an intelligent transportation system to provide corresponding levels of medical aid and transportation in a timely manner.
Ming Zheng +7 more
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This study intended to investigate the interactions between accident severity levels and traffic signs in state roads located in Croatia and explore the correlation between accident severity levels and heterogeneity attributed to unobserved factors.
Xuecai Xu, Željko Šarić
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