Multivariate Poisson-Lognormal models for predicting peak-period crash frequency of joint on-ramp and merge segments on freeways
Because of a growing crash occurrence in conflict areas, the ramp and merge segments on
freeways are a concern for transportation researchers and practitioners. Therefore, short …
freeways are a concern for transportation researchers and practitioners. Therefore, short …
Short-term safety performance functions by random parameters negative binomial-Lindley model for part-time shoulder use
T Hasan, M Abdel-Aty - Accident Analysis & Prevention, 2024 - Elsevier
Abstract Part-time Shoulder Use (PTSU) is a traffic management and operation strategy that
allows the use of the left or right shoulder as a travel lane, typically during the peak hours of …
allows the use of the left or right shoulder as a travel lane, typically during the peak hours of …
Trajectory prediction for vehicle conflict identification at intersections using sequence-to-sequence recurrent neural networks
Surrogate safety measures in the form of conflict indicators are indispensable components of
the proactive traffic safety toolbox. Conflict indicators can be classified into past-trajectory …
the proactive traffic safety toolbox. Conflict indicators can be classified into past-trajectory …
Time-specific hierarchical models for predicting crash frequency of reversible and high-occupancy vehicle lanes
Abstract Time-specific Safety Performance Functions (SPFs) were proposed to achieve
accurate and dynamic crash frequency predictions. This study contributes to the literature by …
accurate and dynamic crash frequency predictions. This study contributes to the literature by …
Beyond concept: The viability of exclusive lanes for zero emission vehicles on expressways
In response to climate change issues, various measures have been implemented to
decarbonize transportation. One approach is to promote zero emission vehicles which can …
decarbonize transportation. One approach is to promote zero emission vehicles which can …
An advanced real-time crash prediction framework for combined hard shoulder running and variable speed limits system using transformer
One of the important applications of real-time crash prediction analysis lies in the field of
proactive traffic management, where instantaneous crash risk evaluation and dynamic …
proactive traffic management, where instantaneous crash risk evaluation and dynamic …
Time-Based Safety Performance Functions of Metered Ramps and Merge Sections
Ramp metering (RM) is a widely used active traffic management (ATM) system on freeways
to enhance mobility. However, research on RM systems has predominantly focused on …
to enhance mobility. However, research on RM systems has predominantly focused on …
Analyzing the Suitability of Vehicle Telematics Data as a Surrogate Safety Measure for Short-Term Crashes
Traffic safety analysis relies heavily on the comprehensiveness of traffic crash data.
However, crash occurrences are rare events. Researchers have sought alternative …
However, crash occurrences are rare events. Researchers have sought alternative …
Development of Modified Temporal Safety Performance Function Considering Various Time Flows
Y Sung, S Kim, J Park, L Wang - Journal of Advanced …, 2024 - Wiley Online Library
Safety performance functions (SPFs) have become valuable tools for estimating the
relationships between crashes and various causal factors when constructing crash …
relationships between crashes and various causal factors when constructing crash …
Full data imputation for freeway time-specific safety performance functions' estimation
J Fu, M Abdel-Aty, X Yan - Accident Analysis & Prevention, 2023 - Elsevier
Abstract Time-specific Safety Performance Functions (SPFs) were proposed to achieve
accurate and dynamic crash frequency predictions. Unfortunately, some states do not have …
accurate and dynamic crash frequency predictions. Unfortunately, some states do not have …