Revolutionizing travel choices with flexible error structures for better decision-making
The article reviews different ways to improve models used to predict how people choose their travel mode. The researchers found that by relaxing certain assumptions in the models, they can better reflect the real differences in people's preferences and behaviors. This can help make the models more accurate and useful for planning transportation systems.
