Transportation system disruptions significantly impair transportation efficiency. This paper
proposes new indicators derived from the Macroscopic Fundamental Diagram (MFD) …

Speed limit policies are commonly adopted to manage and control traffic in urban areas due
to their effectiveness and ease of implementation. Comprehending the complete effect of a …

Estimating origin–destination (OD) demand is essential for urban transport management
and traffic control systems. With the ubiquity of smartphones, location based social networks …

Simulation-based optimization is an effective solution to complex transportation problems
relying on stochastic simulations. However, existing studies generally perform a fixed …

Accurate origin–destination (OD) demand prediction is crucial for the efficient operation and
management of urban rail transit (URT) systems, particularly during a pandemic. However …

Computer simulations have long presented the exciting possibility of scientific insight into
complex real-world processes. Despite the power of modern computing, however, it remains …

The huge traffic data generated by intelligent transportation system (ITS) leads to the
development of many advanced traffic models. These traffic models consist of many …

Microscopic traffic models (MTMs) are widely used for assessing the impacts of autonomous
and connected autonomous vehicles (AVs/CAVs). These models use car following (CF) and …

The simultaneous perturbation stochastic approximation (SPSA) algorithm has been widely
employed in the dynamic origin-destination demand estimation (DODE) problem. However …

Featured Application The methodology of this study enables real-time acquisition of dynamic
traffic demand from the most basic data (traffic counts) in the field of transportation, which in …