When the shares of Corporate Travel were placed in a trading halt around lunchtime on Friday, August 22, it seemed as though the moment of vindication for the company’s legion of sceptics had arrived.

We present a physics-informed deep learning (PIDL) approach to tackle the challenge of data sparsity and sensor noise in traffic state estimation (TSE). PIDL strengthens a deep learning (DL) neural ...