Safety, energy, and emissions impacts of adaptive cruise control and cooperative adaptive cruise control
Connected and automated vehicle technologies have the potential to significantly improve
transportation system performance. In particular, advanced driver-assistance systems, such …
transportation system performance. In particular, advanced driver-assistance systems, such …
Investigating the safety and operational benefits of mixed traffic environments with different automated vehicle market penetration rates in the proximity of a driveway …
Traffic congestion is monotonically increasing, especially in large cities, due to rapid
urbanization. Traffic congestion not only deteriorates traffic operation and degrades traffic …
urbanization. Traffic congestion not only deteriorates traffic operation and degrades traffic …
Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest
Accurate crash frequency prediction is critical for proactive safety management. The
emerging connected vehicles technology provides us with a wealth of vehicular motion data …
emerging connected vehicles technology provides us with a wealth of vehicular motion data …
Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach
AM Boggs, B Wali, AJ Khattak - Accident Analysis & Prevention, 2020 - Elsevier
Automated vehicles (AVs) represent an opportunity to reduce crash frequency by eliminating
driver error, as safety studies reveal human error contributes to the majority of crashes. To …
driver error, as safety studies reveal human error contributes to the majority of crashes. To …
Extracting useful information from basic safety message data: An empirical study of driving volatility measures and crash frequency at intersections
With the emergence of high-frequency connected and automated vehicle data, analysts can
extract useful information from them. To this end, the concept of “driving volatility” is defined …
extract useful information from them. To this end, the concept of “driving volatility” is defined …
Freeway accident detection and classification based on the multi-vehicle trajectory data and deep learning model
D Yang, Y Wu, F Sun, J Chen, D Zhai, C Fu - Transportation research part …, 2021 - Elsevier
The freeway accident detection and classification have attracted much attention of
researchers in the past decades. With the popularity of Global Navigation Satellite System …
researchers in the past decades. With the popularity of Global Navigation Satellite System …
Impact of cyberattacks on safety and stability of connected and automated vehicle platoons under lane changes
ZH Khattak, BL Smith, MD Fontaine - Accident Analysis & Prevention, 2021 - Elsevier
Connected and automated vehicles (CAVs) offer a huge potential to improve the operations
and safety of transportation systems. However, the use of smart devices and …
and safety of transportation systems. However, the use of smart devices and …
Active lane management and control using connected and automated vehicles in a mixed traffic environment
Traditionally, active traffic management systems (ATM) have included lane management
systems (LMS) mounted on overhead gantries to provide merge advisories to human drivers …
systems (LMS) mounted on overhead gantries to provide merge advisories to human drivers …
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 …
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 …