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Empirical investigation of a nonlinear automated vehicle controller in lane-free traffic

Asiminakis Georgios

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Summary

Designing a vehicle movement strategy that is both safe and effective in lane-free traffic is a challenging topic. Several methodological approaches may be deployed, including multi-agent systems, nonlinear feedback control, and optimal control-based techniques. In this thesis, we will concentrate on the practical implementation and simulation of the nonlinear controller scheme developed recently in the TrafficFluid group. The proposed control scheme attempts to drive the system to the desired state which is consisted by some key elements. Meaning that the vehicles should reach their desired speed at some reasonable time and remain within a safe distance from their adjacent vehicles. While at the same time, the convenience of the driver is taken into account. The proposed vehicle movement strategy is employed for traffic simulation using a recently developed microscopic simulator called TrafficFluid-Sim, which builds on the SUMO simulation infrastructure.

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