Science Explorer Interactive view Map

Traffic control and management

Traffic control and management is a research topic within Control and Systems Engineering. Science Explorer counts 31k research works in it since 1952. 23.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the modeling and control of traffic flow systems, including microscopic simulation, cooperative adaptive cruise control, connected vehicles, traffic signal control, platooning, macroscopic fundamental diagram, intelligent transportation systems, vehicle dynamics model, and reinforcement learning.

  • Traffic Flow
  • Microscopic Simulation
  • Cooperative Adaptive Cruise Control
  • Connected Vehicles
  • Traffic Signal Control
  • Platooning
  • Macroscopic Fundamental Diagram
  • Intelligent Transportation Systems
  • Vehicle Dynamics Model
  • Reinforcement Learning
Research works
31k
fractional, since 1952
In the world top 10%
7.4k
per year above
Top-10% rate
23.8%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+60%
the tick is no change

Which countries lead Traffic control and management research?

By volume, China and the United States publish the most (3.5k and 1.1k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.5k works
  2. 2 United States 1.1k works
  3. 3 India 641 works
  4. 4 Germany 292 works
  5. 5 Japan 203 works
  6. 6 Italy 190 works
  7. 7 South Korea 178 works
  8. 8 United Kingdom 172 works
  9. 9 France 168 works
  10. 10 Canada 167 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 53.1%United States: 16.3%India: 9.8%Germany: 4.4%6 others listed: 16.4%53%largest
China3,491 · 53.1%United States1,068 · 16.3%India641 · 9.8%Germany292 · 4.4%6 others listed1,078 · 16.4%

Shares of the rows listed above, not of the whole node.

Which institutions lead Traffic control and management research?

By volume in 2022–2025, Tongji University publishes the most Traffic control and management research, followed by Southeast University and Tsinghua University.

By volume, 2022–2025

  1. 1 Tongji University China 177 works
  2. 2 Southeast University China 135 works
  3. 3 Tsinghua University China 122 works
  4. 4 Chang'an University China 101 works
  5. 5 Beijing Jiaotong University China 98 works
  6. 6 Wuhan University of Technology China 67 works
  7. 7 Southwest Jiaotong University China 66 works
  8. 8 Jilin University China 60 works
  9. 9 Beihang University China 59 works
  10. 10 Beijing University of Technology China 56 works

Who are the leading researchers in Traffic control and management?

The most-cited researchers publishing on Traffic control and management include Robert W. Heath, Fei–Yue Wang and Qing‐Long Han.

  1. 1 Robert W. Heath 7.1k citations
  2. 2 Fei–Yue Wang 4.2k citations
  3. 3 Qing‐Long Han 3.8k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Traffic control and management research done?

The largest centres of Traffic control and management research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Delft.

Largest cities, 2022–2025

  1. 1 Beijing China 692 works
  2. 2 Shanghai China 348 works
  3. 3 Nanjing China 272 works
  4. 4 Xi'an China 184 works
  5. 5 Chongqing China 154 works
  6. 6 Wuhan China 132 works
  7. 7 Chengdu China 117 works
  8. 8 Guangzhou China 110 works
  9. 9 Changsha China 103 works
  10. 10 Hangzhou China 101 works

Where it is the local speciality

  1. DelftNL · 45.4 works6.9×
← less than its size predictsmore →

Location quotient: how much more of its research is in Traffic control and management than the world average.

See Traffic control and management on the map

Where is the best place to study Traffic control and management?

Among universities, judged by research, Nanyang Technological University, Southeast University and Maharshi Dayanand University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%25%50%75%mean 30.66%fractional works in this node (log) →share in the world top 10% →Nanyang Technological University: 43, 43.3%Southeast University: 134, 26.7%Maharshi Dayanand University: 10, 59.8%Tongji University: 177, 20.4%Southwest Jiaotong University: 66, 34.0%University of Central Florida: 28, 32.0%Southeast University: 22, 11.1%Technical University of Munich: 38, 26.2%Chang'an University: 101, 12.4%Hong Kong Polytechnic University: 39, 40.7%Maharshi Dayanand Un…Nanyang Technologica…Southeast UniversityTongji University
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1Nanyang Technological University Singapore 70.643.3%6.5×43 +222.6%
2Southeast University China 65.526.7%12.0×134 +56.5%
3Maharshi Dayanand University India 63.359.8%10.8×10
4Tongji University China 60.520.4%16.6×177 +4.2%
5Southwest Jiaotong University China 59.634.0%10.3×66 -6.9%
6University of Central Florida United States 59.632.0%8.9×28 +139.5%
7Southeast University Bangladesh 57.111.1%24.5×22 +115.5%
8Technical University of Munich Germany 56.526.2%5.8×38 +237.3%
9Chang'an University China 56.012.4%32.0×101 +63.0%
10Hong Kong Polytechnic University Hong Kong 55.040.7%5.3×39 +6.1%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Traffic control and management research growing?

Output in 2018–2022 was 60% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Traffic control and management.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.