3 citations · 3 across the 3 of their papers we have counts for
3 papers
Urban context and delivery performance: Modelling service time for cargo bikes and vans across diverse urban environments
Maxwell Schrader, Navish Kumar, Esben Sørig +5
Light goods vehicles (LGV) used extensively in the last mile of delivery are one of the leading polluters in cities. Cargo-bike logistics and Light Electric Vehicles (LEVs) have be…
Modelling the performance of delivery vehicles across urban micro-regions to accelerate the transition to cargo-bike logistics
Max Schrader, Navish Kumar, Nicolas Collignon +5
Light goods vehicles (LGV) used extensively in the last mile of delivery are one of the leading polluters in cities. Cargo-bike logistics has been put forward as a high impact cand…
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
Benedek Rozemberczki, Paul Scherer, Yixuan He +8
We present PyTorch Geometric Temporal a deep learning framework combining state-of-the-art machine learning algorithms for neural spatiotemporal signal processing. The main goal of…