Master Thesis on “Emergency Corridor Building by Autonomous Vehicles”

Supervisor: Prof. Ville Kyrki (ville.kyrki@aalto.fi)
Advisors: Dr. Gökhan Alcan (gokhan.alcan@aalto.fi)

Keywords: autonomous vehicles, emergency corridor building, model predictive control.

Project Description

In this thesis, model predictive control-based emergency corridor building algorithms will be developed for autonomous vehicles in simulation. In this context, the thesis is expected to include varying simulated scenarios in terms of lane numbers, autonomous/human drivers amount, road types, traffic densities.

In this thesis, model predictive control-based emergency corridor building algorithms will be developed for autonomous vehicles in simulation. In this context, the thesis is expected to include varying simulated scenarios in terms of lane numbers, autonomous/human drivers amount, road types, traffic densities.

Deliverables

  • Related literature review,
  • Design of the simulation environment in a driving simulator or a simple gym environment,
  • Development of an MPC-based method for emergency corridor building,
  • Analysis of the developed method for varying scenarios, and obtaining illustrative results.

Practical Information

Pre-requisites: Python(high), numerical optimization (medium)
Tools: highway-env, CARLA simulator
Start: Available immediately

References

  • https://youtu.be/nen_bWMLGIQ
  • Zanon, M., Frasch, J. V., Vukov, M., Sager, S., & Diehl, M. (2014). Model predictive control of autonomous vehicles. In Optimization and optimal control in automotive systems (pp. 41-57)
  • Rudolph, J. K. G. (2020). Unity 3D Simulator of Autonomous Motorway Traffic Applied to Emergency Corridor Building.