CORDIS Project
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This project develops advanced control strategies for intelligent articulated heavy vehicles to optimize lane changes in complex traffic conditions. It utilizes real-time data and deep learning to ensure safety and stability during maneuvers.
The complex traffic environment with dynamic changes of speed and acceleration of multi-surrounding vehicles, and adhesion coefficient and curve radius of the road, results in that the optimal and precise control of lane change for intelligent articulated heavy vehicle (IAHV) is difficult to be achieved.
According to the real-time states of multi-surrounding vehicles and road parameters, the real-time safe optimal trajectory of lane change is obtained by setting the multi-objective function con…
UNIVERSITA DEGLI STUDI DI PAVIA
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