Synchronous speculative simulation of tightly coupled agents in continuous time on CPUs and GPUs
Traditionally, parallel discrete-event simulations of agent-based models in continuous time are organized around logical processes exchanging time-stamped events, which clashes with the properties of models in which tightly coupled agents frequently and ...
Network performance estimator with applications to route selection for IoT multimedia applications
Estimating the performance of multimedia (MM) traffic is important in numerous contexts, including routing and forwarding, quality of service (QoS) provisioning, and adaptive video streaming. This paper proposes a network performance estimator which aims ...
A methodological approach for modeling the spread of disease using geographical discrete-event spatial models
- Glenn Davidson,
- Aidan Fahlman,
- Eric Mereu,
- Cristina Ruiz Martin,
- Gabriel Wainer,
- Peter Dobias,
- Mark Rempel
The study of infectious disease models has become increasingly important during the COVID-19 pandemic. The forecasting of disease spread using mathematical models has become a common practice by public health authorities, assisting in creating policies ...
Low-latency GNSS multipath simulation and building wall detection in urban environments
Precise navigation for fully autonomous driving—especially in dense urban areas—requires periodic precise position estimates. Global Navigation Satellite System (GNSS) technology has the potential to provide absolute positioning accuracy at a centimeter ...
Improved methodology for assessment of communication protocols for distributed road traffic simulation
A computer simulation of road traffic is a commonly used tool, which can help to manage constantly intensifying road traffic. It can help to analyze behavior of existing road traffic networks or to predict the behavior of new designed road traffic ...
