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 …
Modeling traffic conflicts for use in road safety analysis: A review of analytic methods and future directions
Limitations of crash data and crash-based methods have given rise to the study of alternate
measures of safety that are not predicated on the occurrence of a crash such as traffic …
measures of safety that are not predicated on the occurrence of a crash such as traffic …
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 …
How many are enough?: Investigating the effectiveness of multiple conflict indicators for crash frequency-by-severity estimation by automated traffic conflict analysis
Traffic conflict techniques are a viable alternative to crash-based safety assessments and
are particularly well suited to evaluating emerging technologies such as connected and …
are particularly well suited to evaluating emerging technologies such as connected and …
Data-driven approaches for road safety: A comprehensive systematic literature review
Road crashes cost over a million lives each year. Consequently, researchers and transport
engineers continue their efforts to improve road safety and minimize road crashes. With the …
engineers continue their efforts to improve road safety and minimize road crashes. With the …
Stability analysis and connected vehicles management for mixed traffic flow with platoons of connected automated vehicles
Y Qin, Q Luo, H Wang - Transportation Research Part C: Emerging …, 2023 - Elsevier
Recently, the market has witnessed the emergence of intelligent vehicles equipped with
diverse functionalities. Among these are connected automated vehicles (CAVs) boasting a …
diverse functionalities. Among these are connected automated vehicles (CAVs) boasting a …
Vehicle trajectory prediction and cut-in collision warning model in a connected vehicle environment
N Lyu, J Wen, Z Duan, C Wu - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Side collisions caused by sudden vehicle cut-ins comprise a significant proportion of traffic
accidents. Due to the complex and dynamic nature of traffic environments, the warning …
accidents. Due to the complex and dynamic nature of traffic environments, the warning …
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 …
Lane change detection and prediction using real-world connected vehicle data
Prediction of lane changes (LCs) provides critical information to enhance traffic safety and
efficiency in a connected and automated driving environment. It is essential to precisely …
efficiency in a connected and automated driving environment. It is essential to precisely …
Fusing crash data and surrogate safety measures for safety assessment: Development of a structural equation model with conditional autoregressive spatial effect and …
Most existing efforts to assess safety performance require sufficient crash data, which
generally takes a few years to collect and suffers from certain limitations (such as long data …
generally takes a few years to collect and suffers from certain limitations (such as long data …