To develop the most appropriate control strategy and monitor, maintain, and evaluate the
traffic performance of the freeway weaving areas, state and local Departments of …

To develop the most appropriate control strategy and monitor, maintain, and evaluate the
traffic performance of the freeway weaving areas, state and local Departments of …

Vehicular flow rate is an essential measure commonly collected by inductive-loop detectors
for transportation agencies to evaluate freeways and highways. Loop detectors are typically …

Each freeway stretch's traffic states are indispensable in freeway traffic modeling,
surveillance, and control. However, the unmeasured ramp pairs always exist in real-world …

Nonrecurring traffic events, including improvement actions and vehicular accidents, cause
traffic congestion and travel delay. The impact of a traffic event, even when the event is …

Missing data problem is a major concern in data analysis and statistical modeling. Despite
sizable efforts to address the missing data problem in different contexts, the complete-case …

Short-term traffic flow prediction can improve the efficiency of transportation operations.
Historical data-driven prediction methods have been proved to perform well. However …

This study aims to develop a method for estimating the traffic volume at locations and time
periods where past data are unavailable. To achieve this, we constructed a model based on …

This paper introduces the GCN-Transformer model, an innovative approach that combines
Graph Convolutional Networks (GCNs) and Transformer architectures to enhance …

Abstract Based on Nagel–Schreckenberg (NaSch) traffic flow model, a novel fuel
consumption model of on-ramp with acceleration lane under open boundary condition is …