Results 11 to 20 of about 82,495 (263)
TSDCN: Traffic safety state deep clustering network for real‐time traffic crash‐prediction
IET Intelligent Transport Systems, 2021 Traffic safety state clustering has always been the focus of traffic safety research and the foundation of real‐time crash potential prediction.
Haitao Li +4 more
doaj +1 more source
The importance of flow composition in real-time crash prediction
Accident Analysis & Prevention, 2020 Previous real-time crash prediction models have scarcely used data disaggregated by vehicle type such as light, heavy and motorcycles. Thus, little effort has been made to quantify the impact of flow composition variables as crash precursors. We analyze the advantages of having access to this data by analyzing two scenarios, namely, with aggregated and
Basso Sotz, Franco +2 more
openaire +3 more sources
Journal of Advanced Transportation, 2023 The traditional freeway safety studies with “poststatic” thinking basically use cross-sectional data or panel data, which find it difficult to figure out real-time traffic crash risk factors.
Jie Li +5 more
doaj +1 more source
Applied Sciences, 2023 Traffic accident avoidance and mitigation are the main targets of accident research and vehicle safety development worldwide. Despite improving advanced driver assistance systems (ADAS) and active safety systems, it will not be possible to avoid all ...
Roman Putter +3 more
doaj +1 more source
Predicting Real-Time Crash Risks During Hurricane Evacuation Using Connected Vehicle Data
SAE International Journal of Transportation Safety, 2023 <div>Hurricane evacuations generate high traffic demand with increased crash risk. To mitigate such risk, transportation agencies can adopt high-resolution vehicle data to predict real-time crash risks. Previous crash risk prediction models mainly used limited infrastructure sensor data ...
Syed, Zaheen E Muktadi, Hasan, Samiul
openaire +2 more sources
Transformer-Conformer Ensemble for Crash Prediction Using Connected Vehicle Trajectory Data
IEEE Open Journal of Intelligent Transportation Systems, 2023 Crash prediction is one of the important elements of real time traffic management strategies. Previous studies have demonstrated the use of infrastructure-based detector data and UAV video to predict a crash in the near future.
Zubayer Islam +2 more
doaj +1 more source
Journal of Advanced Transportation, 2021 Traditional surrogate measures of safety (SMoS) cannot fully consider the crash mechanism or fail to reflect the crash probability and crash severity at the same time.
Qiangqiang Shangguan +4 more
doaj +1 more source
Applied Sciences, 2022 Highway crashes, along with the property damage, personal injuries, and fatalities that they cause, continue to present one of the most significant and critical transportation problems.
Branislav Dimitrijevic +3 more
doaj +1 more source
Diagnosis and Prediction of Market Rebounds in Financial Markets [PDF]
, 2010 We introduce the concept of "negative bubbles" as the mirror image of standard financial bubbles, in which positive feedback mechanisms may lead to transient accelerating price falls. To model these negative bubbles, we adapt the Johansen-Ledoit-Sornette
Sornette, Didier +2 more
core +1 more source
Human injury-based safety decision of automated vehicles
iScience, 2022 Summary: Automated vehicles (AVs) are anticipated to improve road traffic safety. However, prevailing decision-making algorithms have largely neglected the potential to mitigate injuries when confronting inevitable obstacles. To explore whether, how, and
Qingfan Wang +3 more
doaj +1 more source