Anticipated Collision Time (ACT): A two-dimensional surrogate safety indicator for trajectory-based proactive safety assessment
SP Venthuruthiyil, M Chunchu - Transportation research part C: emerging …, 2022 - Elsevier
Abstract Surrogate Safety Measures (SSMs) are widely used to assess potential crash risk
proactively. Notably, most of the existing safety indicators are fundamentally designed to …
proactively. Notably, most of the existing safety indicators are fundamentally designed to …
A review of surrogate safety measures Uses in historical crash investigations
Historical road crash data are the main indicator for measuring road safety outcomes. Over
the past few decades, significant efforts have been made in obtaining and exploiting …
the past few decades, significant efforts have been made in obtaining and exploiting …
Application of explainable machine learning for real-time safety analysis toward a connected vehicle environment
Due to the difficulty of obtaining traffic flow data and conflicts simultaneously, conflict-based
analysis using macroscopic traffic features is much less studied. This research aims to …
analysis using macroscopic traffic features is much less studied. This research aims to …
Application of surrogate safety measures in higher levels of automated vehicles simulation studies: A review of the state of the practice
P Tafidis, A Pirdavani - Traffic injury prevention, 2023 - Taylor & Francis
Abstract Objective Surrogate safety measures (SSMs) are developed and applied as
alternatives or complements of safety analyses mainly due to important road crash data …
alternatives or complements of safety analyses mainly due to important road crash data …
Modeling driver's evasive behavior during safety–critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning
Lane changes are complex driving behaviors and frequently involve safety–critical
situations. This study aims to develop a lane-change-related evasive behavior model, which …
situations. This study aims to develop a lane-change-related evasive behavior model, which …
A multidimensional and multi-period analysis of safety on roads
MA Martins, TV Garcez - Accident Analysis & Prevention, 2021 - Elsevier
This paper proposes a multidimensional and multi-period analysis of safety on roads. It
aggregates different road safety performance indicators observed over different periods for …
aggregates different road safety performance indicators observed over different periods for …
Predicting hurricane evacuation behavior synthesizing data from travel surveys and social media
Evacuation behavior models estimated using post-disaster surveys are not adequate to
predict real-time dynamic population response as a hurricane unfolds. With the emergence …
predict real-time dynamic population response as a hurricane unfolds. With the emergence …
Spatial predictions of harsh driving events using statistical and machine learning methods
Harsh driving behavior events, such as harsh braking events (HBs) are road safety
surrogate measures showing promising research venues towards crash mitigation, such as …
surrogate measures showing promising research venues towards crash mitigation, such as …
Proactive safety monitoring: A functional approach to detect safety-related anomalies using unmanned aerial vehicle video data
The advent of smart cities has motivated the field of transportation safety to transition
towards a proactive approach that anticipates and mitigates risks before crashes occur. One …
towards a proactive approach that anticipates and mitigates risks before crashes occur. One …
Bayesian spatial correlation, heterogeneity and spillover effect modeling for speed mean and variance on urban road networks
Y Zhou, X Jiang, C Fu, H Liu, G Zhang - Accident Analysis & Prevention, 2022 - Elsevier
Analyzing speed mean and variance is vital to safety management in urban roadway
networks. However, modeling speed mean and variance on structured roads could be …
networks. However, modeling speed mean and variance on structured roads could be …