What is he best known for?
The fields of study Tie-Qiao Tang is best known for:
- Fuel efficiency
- Exhaust gas
- Worry
His work on Automotive engineering is typically connected to Consumption (sociology) as part of general Fuel efficiency study, connecting several disciplines of science.
His Automotive engineering study typically links adjacent topics like Fuel efficiency.
His Econometrics study incorporates themes from Bounded function, Mathematical analysis and Rationality, Law.
His research on Mathematical analysis often connects related areas such as Bounded function.
He incorporates Law and Accounting in his studies.
His Transport engineering study has been linked to subjects such as Intersection (aeronautics) and Pedestrian.
He combines topics linked to Transport engineering with his work on Intersection (aeronautics).
Other disciplines of study, such as Rationality and Microeconomics, are mixed together with his Bounded rationality studies.
In his study, he carries out multidisciplinary Microeconomics and Bounded rationality research.
His most cited work include:
- Influences of the driver’s bounded rationality on micro driving behavior, fuel consumption and emissions (177 citations)
- An optimal charging station location model with the consideration of electric vehicle’s driving range (175 citations)
- An extended macro traffic flow model accounting for the driver’s bounded rationality and numerical tests (134 citations)
What are the main themes of his work throughout his whole career to date
His work on Quantum mechanics as part of general Power (physics) study is frequently connected to Automotive engineering, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His research links Electric vehicle with Quantum mechanics.
His study in Power (physics) extends to Electric vehicle with its themes.
His Transport engineering study frequently draws connections to other fields, such as Pedestrian.
His Pedestrian study frequently draws connections to other fields, such as Transport engineering.
In his works, Tie-Qiao Tang performs multidisciplinary study on Simulation and Artificial intelligence.
Tie-Qiao Tang connects Artificial intelligence with Simulation in his research.
His research on Flow (mathematics) frequently connects to adjacent areas such as Mechanics.
His studies link Flow (mathematics) with Mechanics.
Tie-Qiao Tang most often published in these fields:
- Transport engineering (52.27%)
- Simulation (35.23%)
- Automotive engineering (30.68%)
What were the highlights of his more recent work (between 2019-2022)?
- Transport engineering (57.14%)
- Artificial intelligence (57.14%)
- Quantum mechanics (42.86%)
In recent works Tie-Qiao Tang was focusing on the following fields of study:
Tie-Qiao Tang combines Transport engineering and Civil engineering in his studies.
He performs integrative Civil engineering and Transport engineering research in his work.
As part of his studies on Artificial intelligence, he often connects relevant areas like Class (philosophy).
Class (philosophy) and Artificial intelligence are frequently intertwined in his study.
His work blends Quantum mechanics and Entropy (arrow of time) studies together.
Tie-Qiao Tang integrates several fields in his works, including Entropy (arrow of time) and Quantum mechanics.
His study brings together the fields of Vehicle dynamics and Automotive engineering.
His Automotive engineering research extends to the thematically linked field of Vehicle dynamics.
Tie-Qiao Tang combines Telecommunications and Wireless in his research.
Between 2019 and 2022, his most popular works were:
- Optimal deployment of wireless charging lanes considering their adverse effect on road capacity (32 citations)
- Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging (25 citations)
- Car-Following Model Based on Deep Learning and Markov Theory (12 citations)
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