D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mechanical and Aerospace Engineering D-index 35 Citations 3,476 74 World Ranking 764 National Ranking 61

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Electrical engineering
  • Traffic flow

His primary areas of study are Traffic flow, Car following, Control theory, Fuel efficiency and Stability. Tie-Qiao Tang has included themes like Flow and Free flow in his Traffic flow study. His Car following research is classified as research in Transport engineering.

Tie-Qiao Tang focuses mostly in the field of Control theory, narrowing it down to matters related to Potential flow and, in some cases, Pedestrian and Flow. His Fuel efficiency study incorporates themes from Bounded rationality and Numerical tests. The study incorporates disciplines such as Mathematical analysis and Operations research in addition to Stability.

His most cited work include:

  • A new car-following model accounting for varying road condition (149 citations)
  • A new car-following model with consideration of inter-vehicle communication (144 citations)
  • Influences of the driver’s bounded rationality on micro driving behavior, fuel consumption and emissions (136 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Traffic flow, Car following, Automotive engineering, Simulation and Control theory. His Traffic wave study, which is part of a larger body of work in Traffic flow, is frequently linked to Macro, bridging the gap between disciplines. His Car following study deals with the bigger picture of Transport engineering.

His study in the field of Fuel efficiency also crosses realms of Process. His Simulation research incorporates themes from Flow, Numerical tests, Pedestrian and Cellular automaton. He conducts interdisciplinary study in the fields of Control theory and Intersection through his works.

He most often published in these fields:

  • Traffic flow (38.97%)
  • Car following (29.41%)
  • Automotive engineering (20.59%)

What were the highlights of his more recent work (between 2017-2021)?

  • Car following (29.41%)
  • Simulation (16.91%)
  • Traffic flow (38.97%)

In recent papers he was focusing on the following fields of study:

Tie-Qiao Tang mostly deals with Car following, Simulation, Traffic flow, Operations research and Group behavior. His Car following study combines topics from a wide range of disciplines, such as Markov process, Three-phase traffic theory, Automotive engineering, Deep learning and Headway. His work on Fuel efficiency as part of general Automotive engineering study is frequently linked to Process, therefore connecting diverse disciplines of science.

His Simulation research is multidisciplinary, relying on both Motion, Pedestrian and Cellular automaton. His Traffic flow study also includes fields such as

  • Potential flow which is related to area like Probability distribution and Real-time computing,
  • Sensitivity most often made with reference to Intersection. Tie-Qiao Tang usually deals with Operations research and limits it to topics linked to Time headway and Bounded rationality and Speed limit.

Between 2017 and 2021, his most popular works were:

  • An extended two-lane car-following model accounting for inter-vehicle communication (99 citations)
  • An optimal charging station location model with the consideration of electric vehicle’s driving range (82 citations)
  • Modeling electric bicycle’s lane-changing and retrograde behaviors (77 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Electrical engineering
  • Microeconomics

Tie-Qiao Tang spends much of his time researching Car following, Traffic flow, Group behavior, Simulation and Operations research. His Car following research includes themes of Inter vehicle communication, Intersection, Automotive engineering and Motion. His Intersection research incorporates elements of Energy consumption, Fuel efficiency and Sensitivity.

Tie-Qiao Tang combines Traffic flow and Bottleneck in his studies. As part of the same scientific family, Tie-Qiao Tang usually focuses on Simulation, concentrating on Cellular automaton and intersecting with Pedestrian flow and Pedestrian. His studies deal with areas such as Aviation and Time headway as well as Operations research.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A new car-following model accounting for varying road condition

Tieqiao Tang;Yunpeng Wang;Xiaobao Yang;Yonghong Wu.
Nonlinear Dynamics (2012)

181 Citations

A new car-following model with consideration of inter-vehicle communication

Tieqiao Tang;Weifang Shi;Huayan Shang;Yunpeng Wang.
Nonlinear Dynamics (2014)

179 Citations

Influences of the driver’s bounded rationality on micro driving behavior, fuel consumption and emissions

Tie-Qiao Tang;Hai-Jun Huang;Hua-Yan Shang.
Transportation Research Part D-transport and Environment (2015)

166 Citations

A new car-following model with the consideration of the driver's forecast effect

T.Q. Tang;C.Y. Li;H.J. Huang.
Physics Letters A (2010)

153 Citations

Stability of the car-following model on two lanes.

Tie-Qiao Tang;Hai-Jun Huang;Zi-You Gao.
Physical Review E (2005)

125 Citations

A new car-following model with consideration of roadside memorial

T. Tang;T. Tang;Yong Hong Wu;Louis Caccetta;H. Huang.
Physics Letters A (2011)

120 Citations

An extended macro traffic flow model accounting for the driver’s bounded rationality and numerical tests

Tie-Qiao Tang;Hai-Jun Huang;Hua-Yan Shang.
Physica A-statistical Mechanics and Its Applications (2017)

118 Citations

An extended car-following model with consideration of the reliability of inter-vehicle communication

Tie-Qiao Tang;Wei-Fang Shi;Hua-Yan Shang;Yun-Peng Wang.
Measurement (2014)

117 Citations

Modeling electric bicycle’s lane-changing and retrograde behaviors

Tie-Qiao Tang;Xiao-Feng Luo;Jian Zhang;Liang Chen.
Physica A-statistical Mechanics and Its Applications (2018)

117 Citations

A new macro model with consideration of the traffic interruption probability

T.Q. Tang;H.J. Huang;G. Xu.
Physica A-statistical Mechanics and Its Applications (2008)

116 Citations

Best Scientists Citing Tie-Qiao Tang

Takashi Nagatani

Takashi Nagatani

Shizuoka University

Publications: 31

Ziyou Gao

Ziyou Gao

Beijing Jiaotong University

Publications: 20

Siuming Lo

Siuming Lo

City University of Hong Kong

Publications: 16

Yu Xue

Yu Xue

Nanjing University of Information Science and Technology

Publications: 15

Hai-Jun Huang

Hai-Jun Huang

Beihang University

Publications: 9

Majid Sarvi

Majid Sarvi

University of Melbourne

Publications: 8

Bin Ran

Bin Ran

University of Wisconsin–Madison

Publications: 8

Srinivas Peeta

Srinivas Peeta

Georgia Institute of Technology

Publications: 6

Katsuhiro Nishinari

Katsuhiro Nishinari

University of Tokyo

Publications: 6

Sze Chun Wong

Sze Chun Wong

University of Hong Kong

Publications: 6

Bing-Hong Wang

Bing-Hong Wang

University of Science and Technology of China

Publications: 5

Wei Wang

Wei Wang

Hong Kong University of Science and Technology

Publications: 5

Jian Ma

Jian Ma

Southwest Jiaotong University

Publications: 5

Martin Treiber

Martin Treiber

TU Dresden

Publications: 4

Tao Tang

Tao Tang

Hong Kong Baptist University

Publications: 4

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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