Results 21 to 30 of about 59,718 (197)
Traffic Accident Prediction Based on LSTM-GBRT Model
Journal of Control Science and Engineering, 2020 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
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Transportes, 2023 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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Journal of Traffic and Transportation Engineering (English ed. Online), 2016 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
Journal of Advanced Transportation, 2023 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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Understanding the multi-mass model and sound generation of vocal fold oscillation
AIP Advances, 2019 When a speaker speaks, the vocal fold oscillates, generating a voice. The voice resonating in the vocal tract and in the mouth is converted to speech when the speaker changes the shapes of the mouth and tongue.
Myung-cheol Park
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Modeling the effect of traffic regimes on safety of urban arterials: The case study of Athens
Journal of Traffic and Transportation Engineering (English ed. Online), 2017 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
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Jurnal Ketahanan Nasional, 2014 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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TempoLearn Network: Leveraging Spatio-Temporal Learning for Traffic Accident Detection
IEEE Access, 2023 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
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Research Progress of Traffic Accident Reconstruction Technology Based on PC-Crash Software#br# [PDF]
Fayixue Zazhi, 2018 With the development of the computer simulation technology and the digital simulation technology, the traditional calculation method has been gradually replaced by the digital method to deal the road traffic accident scene and analyse the process. The PC-
HE Yong-wang, ZENG Xiao-feng, YAN Wen,et al
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Local and Global Spatial-Temporal Networks for Traffic Accident Risk Forecasting
Jisuanji kexue yu tansuo, 2021 Traffic accident forecasting is very important for urban public security, emergency treatment and construc-tion planning. However, the following problems still exist when forecasting traffic accident risk.
WANG Beibei, WAN Huaiyu, GUO Shengnan, LIN Youfang
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