5G Edge Cloud Application

WINLAB Summer Internship 2024

Advisors: Anthony Magnan, Ivan Seskar, Jennifer Shane

Group Members: Matt Arigo, Steven Nguyen, Ji Wu, Damon Lin

Project Objective

Our project aims to create a navigation system that utilizes 5G edge cloud computing to reduce the likelihood of vehicular accidents. We will build this by utilizing synthetic data we generated off of SUMO and Carla. We will also utilize real data sets given to us to integrate the two sets while inspecting the sets for differences.

Week 1

​Week 1 Presentation

Summary

• Looked into key terms such as MQTT, Multi-Access Edge Computing (MEC), Enhanced Vehicle-to-Everything Communication (eV2X Communication), and Virtual Roadside Units (vRSU)
• Installed and tested Mosquitto, an MQTT broker on Linux, through these commands:

  sudo apt-add-repository ppa:mosquitto-dev/mosquitto-ppa
  sudo apt-get update
  sudo apt-get install mosquitto
  sudo apt-get install mosquitto-clients
  sudo apt clean
  

Week 2

​Week 2 Presentation

Summary

• Met with our advisors to discuss and define the project's direction
  • To be written
• Took a look at simulation software CARLA (Car Learning to Act) and SUMO (Simulation for Urban Mobility)
• Installed and tested Paho, another MQTT broker on Linux, as a substitute for Mosquitto
  • Paho is a Python-based MQTT broker, which is much more compatible with CARLA and SUMO

Week 3

​Week 3 Presentation

Summary

• Began simulating scenarios on both CARLA and SUMO
• Figured out first person interface in CARLA
• Set up Gitlab repository for message encoding to transcribe data received from CARLA and SUMO
• Start receiving telemetry data from SUMO

Week 4

​Week 4 Presentation

Summary

• Began working on our base scenario
• Worked on an algorithm that calculates when braking is necessary
• Started integration of our scenario in CARLA with our database and algorithm
• Started learning about Docker for later project utilization

Resources

• ​CARLA Github Link
  
• ​SUMO Github Link