Bin Ning
Control and Systems Engineering · 2013–2019
A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 17 citations into it
- Industrial and Manufacturing Engineering — 13 citations into it
- Artificial Intelligence — 6 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Bin Ning trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Bin Ning's perspective
Ordered by how strongly the researchers Bin Ning trusts endorse each paper. Same corpus, a different order for every researcher.
- SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization (SIAM Journal on Optimization)
- Legendre Pseudospectral Approximations of Optimal Control Problems
- The Optimal Control of a Train (Annals of Operations Research)
- Algorithm 902: GPOPS, A MATLAB software for solving multiple-phase optimal control problems using the gauss pseudospectral method (TOMS)
- Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach
- Data-Driven Intelligent Transportation Systems: A Survey (IEEE transactions on intelligent transportation systems (Print))
- Traffic Flow Prediction With Big Data: A Deep Learning Approach (IEEE transactions on intelligent transportation systems (Print))
- Origin-destination trips by purpose and time of day inferred from mobile phone data
- Reinforcement learning for true adaptive traffic signal control
- Practical Methods for Optimal Control Using Nonlinear Programming
Their papers
- Big Data Analytics in Intelligent Transportation Systems: A Survey (2019) — 869 citations
- A Survey on Energy-Efficient Train Operation for Urban Rail Transit (2016) — 329 citations
- Optimal trajectory planning for trains under fixed and moving signaling systems using mixed integer linear programming (2014) — 67 citations
- Optimal trajectory planning for trains – A pseudospectral method and a mixed integer linear programming approach (2013) — 223 citations