Multiple vehicle cooperation and collision avoidance in automated vehicles: Survey and an AI-enabled conceptual framework
Prospective customers are becoming more concerned about safety and comfort as the
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …
Use of real-world connected vehicle data in identifying high-risk locations based on a new surrogate safety measure
Traditional methods for the identification of high-risk locations rely heavily on historical crash
data. Rich information generated from connected vehicles could be used to obtain surrogate …
data. Rich information generated from connected vehicles could be used to obtain surrogate …
Safety performance assessment of connected vehicles in mitigating the risk of secondary crashes: A driving simulator study
SM Gaweesh, A Khoda Bakhshi… - Transportation …, 2021 - journals.sagepub.com
Traffic crashes can be divided into primary and secondary crashes. Secondary crashes
occur as a consequence of primary crashes within their spatiotemporal distances …
occur as a consequence of primary crashes within their spatiotemporal distances …
Deep reinforcement learning-based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles
Vehicle control in autonomous traffic flow is often handled using the best decision-making
reinforcement learning methods. However, unexpected critical situations make the collisions …
reinforcement learning methods. However, unexpected critical situations make the collisions …
Spatial and temporal prediction of secondary crashes combining stacked sparse auto-encoder and long short-term memory
H Li, Q Gao, Z Zhang, Y Zhang, G Ren - Accident Analysis & Prevention, 2023 - Elsevier
Secondary crashes occur within the spatial and temporal impact area of primary crashes,
resulting in traffic delays and safety problems. While most existing studies focus on the …
resulting in traffic delays and safety problems. While most existing studies focus on the …
Associating incident clearance duration with freeway segment types using hierarchical Bayesian survival model
Traffic incidents represent nonrecurring events that have long been found to deteriorate
traffic operations and safety. Studies agree that quick incident clearance would translate into …
traffic operations and safety. Studies agree that quick incident clearance would translate into …
A multivariate spatial approach to model crash counts by injury severity
Conventional safety models rely on the assumption of independence of crash data, which is
frequently violated. This study develops a novel multivariate conditional autoregressive …
frequently violated. This study develops a novel multivariate conditional autoregressive …
Identifying secondary crashes using text mining techniques
Secondary crashes, roadway clearance time, and incident clearance time are three primary
performance measures for traffic incident management. Crash databases, which are the …
performance measures for traffic incident management. Crash databases, which are the …
Identification of secondary crash risk factors using penalized logistic regression model
Secondary crashes (SCs) have increasingly been recognized as a major problem leading to
reduced capacity and additional traffic delays. However, the limited knowledge on the nature …
reduced capacity and additional traffic delays. However, the limited knowledge on the nature …
Time and Distance Gaps of Primary‐Secondary Crashes Prediction and Analysis Using Random Forests and SHAP Model
X Liu, J Tang, F Gao, X Ding - Journal of Advanced …, 2023 - Wiley Online Library
Secondary crashes (SCs) are typically defined as the crash that occurs within the
spatiotemporal boundaries of the impact area of the primary crashes (PCs), which will …
spatiotemporal boundaries of the impact area of the primary crashes (PCs), which will …