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A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling
Abstract Surrogate Safety Measures (SSM) are important for safety performance evaluation,
since crashes are rare events and historical crash data does not capture near crashes that …
since crashes are rare events and historical crash data does not capture near crashes that …
Recent advancements in end-to-end autonomous driving using deep learning: A survey
End-to-End driving is a promising paradigm as it circumvents the drawbacks associated with
modular systems, such as their overwhelming complexity and propensity for error …
modular systems, such as their overwhelming complexity and propensity for error …
A systematic review of traffic conflict-based safety measures with a focus on application context
Relative to safety assessment using data from observed crashes, conflict-based road safety
assessment can potentially provide additional insights into crash causation processes …
assessment can potentially provide additional insights into crash causation processes …
Criticality metrics for automated driving: A review and suitability analysis of the state of the art
The large-scale deployment of automated vehicles on public roads has the potential to
vastly change the transportation modalities of today's society. Although this pursuit has been …
vastly change the transportation modalities of today's society. Although this pursuit has been …
In search of surrogate safety indicators for vulnerable road users: a review of surrogate safety indicators
Surrogate indicators are meant to be alternatives or complements of safety analyses based
on accident records. These indicators are used to study critical traffic events that occur more …
on accident records. These indicators are used to study critical traffic events that occur more …
Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections
Highlights•Conflict-based real-time safety performance functions are developed for
signalized intersections.•Several Tobit models including GRP-Tobit, RI-Tobit, and GRP-Tobit …
signalized intersections.•Several Tobit models including GRP-Tobit, RI-Tobit, and GRP-Tobit …
A bivariate extreme value model for estimating crash frequency by severity using traffic conflicts
Estimating crash frequency by severity levels using traffic conflicts remains relatively
unexplored in conflict-based traffic safety assessment, limiting its application scope and …
unexplored in conflict-based traffic safety assessment, limiting its application scope and …
Evaluating pedestrian vehicle interaction dynamics at un-signalized intersections: A proactive approach for safety analysis
A Kathuria, P Vedagiri - Accident Analysis & Prevention, 2020 - Elsevier
The present research demonstrates the use of advanced trajectory based data to analyze
road user interactions at an un-signalized intersection under heterogeneous traffic …
road user interactions at an un-signalized intersection under heterogeneous traffic …
Assessing right-turning vehicle-pedestrian conflicts at intersections using an integrated microscopic simulation model
Frequent vehicle-pedestrian conflicts deserve special attention for safety assessment at
intersections. This study helps verify how the simulation as an innovative approach can be …
intersections. This study helps verify how the simulation as an innovative approach can be …
Development of conflict severity index for safety evaluation of severe crash types at unsignalized intersections under mixed traffic
Existing proximal indicators lack the capability of addressing the severe implications of a
possible collision. This study proposes a conflict severity index (CSI) based on crash risk …
possible collision. This study proposes a conflict severity index (CSI) based on crash risk …