vehicular-networks

🚜 Collect of CAN IDs and its payloads for various car brands/models in one place. Might be useful for Cyber Security Researchers, Reverse Engineers, and Automotive Electronics Enthusiasts.

pyvit: Python Vehicle Interface Toolkit

Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.

Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"

Veins - The open source vehicular network simulation framework.

Simple CLI tool for diagnostics and debugging of Cyphal networks. For the newer Cyphal v1.1, prefer https://github.com/OpenCyphal-Garage/cynic

Reinforcement Learning-based VANET simulations

An implementation of Self-Organizing TDMA (STDMA) for VANETs in NS-3

Analytical Models of the Performance of IEEE 802.11p Vehicle to Vehicle Communications

Write commands to a generic OBDII connection and parse responses

ROS Network Analysis Package: This is a ROS package that provide tools to analyze the wireless network such as the signal quality, latency, throughput, link utilization, connection rates, error metrics, etc., between two ROS nodes/computers/machines.

CLI to read diagnostic data from vehicles via OBD (ELM 327) connections

Flexe - The open source federated learning for vehicular network simulation framework.

Robot (or Device) Localization Using Particle Filter over DOA of Wireless Signals

A tool to determine the source of CAN IDs, and filter CAN packets.

Empirical Models for the Realistic Generation of Cooperative Awareness Messages in Vehicular Networks

Implementation and Simulation of a Vehicular Ad-Hoc Network in an urban scenario using Omnet++ 5.0, SUMO 0.25 and Veins 4.4.

Cyphal DSDL processing front end implemented in Python

Flexe - The open source federated learning for vehicular network simulation framework.

Cognitive Generative Intelligent Task Offloading for Digital Twins of Vehicular Networks This repository contains the code and resources for the implementation of cognitive generative intelligent task offloading in digital twins for vehicular networks.