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Traffic Accident Prediction Based on LSTM-GBRT Model
Road traffic accidents are a concrete manifestation of road traffic safety levels. The current traffic accident prediction has a problem of low accuracy.
Zhihao Zhang+2 more
doaj +1 more source
Unexpected congestions are a common problem in the lives of urban citizens who need to travel to carry out their activities. This type of congestion causes unexpected delays to drivers and has traffic accidents and their duration as the main factor for ...
Vandeyberg Nogueira de Souza+1 more
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GIS based Traffic Accident Analysis System [PDF]
In Malaysia, every year over thousands human beings die and tens of thousands are injured in road accidents. This paper focused on the goal of developing tools and methodologies to reduce accidents, and to make roadway safer, through the ability to ...
Elsheikh, R. F. (Ranya)
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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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Traffic accident frequency has been decreasing in Japan in recent years. Nevertheless, many accidents still occur on residential roads. Area-wide traffic calming measures including Zone 30, which discourages traffic by setting a speed limit of 30 km/h in
Seiji Hashimoto+5 more
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Prediction of Traffic Accident Severity Based on Random Forest
This paper used the data of automobile traffic accidents from 2018 to 2020 in the Chinese National Automobile Accident In-Depth Investigation System. The prediction features of traffic accident severity are innovated.
Jianjun Yang, Siyuan Han, Yimeng Chen
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This paper explained the police role optimization to prevented traffic accident. The purpose of this paper was discovering the police enforcement role in preventing traffic accident and the implication of traffic police optimization on regional ...
Ramsan Sinaga
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The Operating Efficiency Evaluation of the Highway Network Under Accident Conditions [PDF]
In order to improve the running safety of highway, to minimize traffic delay, and to avoid the secondary traffic accident, it is essential to evaluate the operating efficiency of the highway network under accident conditions.
Li, Yongliang+2 more
core +1 more source
Modeling the effect of traffic regimes on safety of urban arterials: The case study of Athens
This study aims to divide traffic into meaningful clusters (regimes) and to investigate their impact on accident likelihood and accident severity. Furthermore, the likelihood of powered-two-wheelers (PTWs) involvement in an accident is examined.
Athanasios Theofilatos+3 more
doaj +1 more source
TempoLearn Network: Leveraging Spatio-Temporal Learning for Traffic Accident Detection
Recognizing traffic accident events in driving videos is a challenging task and has emerged as a crucial area of interest in autonomous driving applications in recent years.
Soe Sandi Htun+3 more
doaj +1 more source