Vehicular and Distributed Control Systems for OMNEST / OMNeT++
The interest for simulating DCS networks in and around the automotive industry has risen sharply in the last couple of years. As a result, some interesting and useful models have been released on the subject. This site contains a collection of such models and links to their various publishers. We welcome everyone to submit further models and will be developing this site to accomodate them as well.
Veins is an open source framework for running vehicular network simulations. It is based on two well-established simulators: OMNeT++, an event-based network simulator, and SUMO, a road traffic simulator. It extends these to offer a comprehensive suite of models for IVC simulation.
Controller Area Network (CAN) model from Nagoya University, Japan
The CAN model consists of a CAN controller model, a CAN bus model, and a CAN application model.
In a paper published in July 2013, the authors describe a process where they validated their model against CAN hardware to test its accuracy and application.
FieldBUS (CAN, FlexRay) simulation model from HAW Hamburg, Germany
Core4INET: TTEthernet (AS6802) and IEEE802.1AVB models
CoRE4INET is an extension to the INET-Framework for the event-based simulation of real-time Ethernet in the OMNEST/OMNeT++ simulation system.
VNS - Vehicular Networks Simulator
VNS is a high-performance simulator for vehicular networks. VNS is a simulation framework that completely integrates the mobility and network components in a transparent and efficient way, reducing the overhead of communication and synchronization between different simulators. VNS provides bi-directionally interaction between a microscopic mobility model and network simulators such as OMNEST/OMNET++.
StreetlightSim is a research project at the Pervasive Systems Centre, University of Southampton which is developed specifically to evaluate Autonomous and Adaptive Street Lighting Schemes based on Road Users' presence detection over wireless sensor networks (WSN). StreetlightSim has been used to evaluate the performance of various street lighting schemes based on an actual streetlight network in terms of their energy efficiency and utility