Modeling and simulation play an important role in transportation networks analysis. With the
widespread use of personalized real-time information sources, the status of the simulation …

Parallel traffic simulation requires partitioning the road network into several components that
can be assigned to different computing nodes (CPNs). Existing studies focus more on …

Modeling and simulation play an important role in transportation networks analysis. With the
widespread of personalized real-time information sources, it is relevant for the simulation …

Virtual reality (VR)-based traffic simulation plays an important role in the study of
transportation systems, especially in the testing of connected and autonomous vehicles …

The Internet of Things (IoT) is experiencing widespread adoption across industry sectors
ranging from supply chain management to smart cities, buildings, and health monitoring …

The calibration of urban traffic microsimulation models is addressed in this paper, focusing
on the multivariate distribution of traffic features. This allows to take into account day-to-day …

The number of drivers using on-board systems to navigate through urban areas is
increasing. Drivers get real time information regarding traffic conditions and change their …

Spatial simulations have been widely used to study real-world environments, such as
transportation systems. Applications like prediction and analysis of transportation require the …

As of late, the number and the diversity of autonomous vehicles used in various tasks have
been increasing. A Platform was created in the Artificial Intelligence and Computer Science …

Edge computing is a distributed computing paradigm that relies on the computational
resources of end devices in a network to bring benefits such as low bandwidth utilization …