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LSTM Transformer Real-Time Crash Risk Evaluation Using Traffic Flow and Risky Driving Behavior Data
Crash risk evaluation studies mainly established the relationship between the macro traffic
status and crashes. However, the impact of risky driving behavior, a significant factor in …
status and crashes. However, the impact of risky driving behavior, a significant factor in …
[HTML][HTML] Can historical accident data improve sustainable urban traffic safety? A predictive modeling study
J Wang, C Zhao, Z Liu - Sustainability, 2024 - mdpi.com
Traffic safety is a critical factor for the sustainable development of urban transportation
systems. This study investigates the impact of historical accident information on the …
systems. This study investigates the impact of historical accident information on the …
Analyzing speed-difference impact on freeway joint injury severities of Leading-Following vehicles using statistical and data-driven models
Rear-end (RE) crashes are notably prevalent and pose a substantial risk on freeways. This
paper explores the correlation between speed difference among the following and leading …
paper explores the correlation between speed difference among the following and leading …
RiskFormer: exploring the temporal associations between multi-type aberrant driving events and crash occurrence
R Yu, Y He, H Li, S Li, B Jian - Accident Analysis & Prevention, 2024 - Elsevier
With the development of driving behavior monitoring technologies, commercial
transportation enterprises have leveraged aberrant driving event detection results for …
transportation enterprises have leveraged aberrant driving event detection results for …
A traffic order evaluation method integrating aggressive driving behavior and traffic flow data based on tensor factorization
H Qi, X Zhao, Y Yao, H Yang, L Huang… - … A: Transport Science, 2025 - Taylor & Francis
Here'sa revised version of abstract, under 150 words: This study introduces the Traffic
Disorder Index (TDI), a new metric for assessing traffic operational risk by combining …
Disorder Index (TDI), a new metric for assessing traffic operational risk by combining …
Dynamic inferences of crash risks in freeway merging zones: a spatio-temporal deep learning model
T Wang, YE Ge, Y Wang, W Chen… - … B: Transport Dynamics, 2024 - Taylor & Francis
Freeway merging zones are critical for freeway operations and management due to potential
crashes arising from complex vehicle merging behaviours. This paper investigates the …
crashes arising from complex vehicle merging behaviours. This paper investigates the …