Tao Tang

Control and Systems Engineering · IEEE transactions on intelligent transportation systems (Print) · 2012–2019

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Tang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Feng Ding

Papers from Tao Tang's perspective

Ordered by how strongly the researchers Tao Tang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach
  2. Data-Driven Intelligent Transportation Systems: A Survey (IEEE transactions on intelligent transportation systems (Print))
  3. Traffic Flow Prediction With Big Data: A Deep Learning Approach (IEEE transactions on intelligent transportation systems (Print))
  4. Origin-destination trips by purpose and time of day inferred from mobile phone data
  5. Reinforcement learning for true adaptive traffic signal control
  6. Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (IEEE transactions on intelligent transportation systems (Print))
  7. Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory
  8. Smart card data use in public transit: A literature review
  9. The path most traveled: Travel demand estimation using big data resources
  10. The Optimal Control of a Train (Annals of Operations Research)

Their papers