Decentralised Traffic Incident Detection via Network Lasso

arXiv:2402.18167v1 Announce Type: new
Abstract: Traffic incident detection plays a key role in intelligent transportation systems, which has gained great attention in transport engineering. In the past, traditional machine learning (ML) based detection methods achieved good performance under a centralised computing paradigm, where all data are transmitted to a central server for building ML models therein. Nowadays, deep neural networks based federated learning (FL) has become a mainstream detection approach to enable the model training in a decentralised manner while …

abstract arxiv attention building centralised computing cs.lg data decentralised detection detection methods engineering good incident intelligent intelligent transportation key lasso machine machine learning network paradigm performance role server systems traditional machine learning traffic transport transportation type via