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Traffic Prediction and Management Techniques

Traffic Prediction and Management Techniques is a research topic within Building and Construction. Science Explorer counts 38k research works in it since 1953. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of deep learning, neural networks, and spatio-temporal data analysis for traffic flow prediction and forecasting in urban environments. The research covers topics such as short-term forecasting, graph convolutional networks, time series analysis, and the integration of intelligent transportation systems.

  • Deep Learning
  • Traffic Flow
  • Short-Term Forecasting
  • Spatio-Temporal Data
  • Neural Networks
  • Urban Traffic
  • Graph Convolutional Networks
  • Time Series Analysis
  • Intelligent Transportation Systems
  • Probabilistic Forecasting
Research works
38k
fractional, since 1953
In the world top 10%
3.7k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+79%
the tick is no change
Largest producer
China
55% of the 10 largest, 2022-now
Traffic Prediction and Management Techniques

Which countries lead Traffic Prediction and Management Techniques research?

By volume, China and India publish the most (6.3k and 2k works in 2022-now).

By volume, 2022-now

  1. 1 China 6.3k works
  2. 2 India 2k works
  3. 3 United States 1.4k works
  4. 4 United Kingdom 282 works
  5. 5 South Korea 281 works
  6. 6 Japan 269 works
  7. 7 Germany 259 works
  8. 8 Canada 255 works
  9. 9 Indonesia 245 works
  10. 10 Italy 224 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: 54.9%India: 17.2%United States: 12.2%United Kingdom: 2.4%6 others listed: 13.3%55%largest
China6,326 · 54.9%India1,978 · 17.2%United States1,411 · 12.2%United Kingdom282 · 2.4%6 others listed1,533 · 13.3%

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

Which institutions lead Traffic Prediction and Management Techniques research?

By volume in 2022-now, Beijing Jiaotong University publishes the most Traffic Prediction and Management Techniques research, followed by Tongji University and Southeast University.

By volume, 2022-now

  1. 1 Beijing Jiaotong UniversityChina 209 works
  2. 2 Tongji UniversityChina 168 works
  3. 3 Southeast UniversityChina 141 works
  4. 4 Chang'an UniversityChina 125 works
  5. 5 Chinese Academy of SciencesChina 121 works
  6. 6 Tsinghua UniversityChina 116 works
  7. 7 Southwest Jiaotong UniversityChina 100 works
  8. 8 Wuhan University of TechnologyChina 81 works
  9. 9 Beihang UniversityChina 80 works
  10. 10 Beijing University of TechnologyChina 76 works

Who are the leading researchers in Traffic Prediction and Management Techniques?

The most-cited researchers publishing on Traffic Prediction and Management Techniques include Ted R. Miller, Leo Breiman and Philippe Ciais.

  1. 1 Ted R. Miller United States 279k citations
  2. 2 Leo Breiman United States 243k citations
  3. 3 Philippe Ciais France 237k citations
  4. 4 Li Fei-Fei United States 225k citations
  5. 5 Kai You Wang China 224k citations
  6. 6 Qiang Zhang China 184k citations
  7. 7 Luc Van Gool Switzerland 177k citations
  8. 8 Stefan Lorkowski Germany 166k citations

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

What are the most cited papers in Traffic Prediction and Management Techniques?

The most cited paper in Traffic Prediction and Management Techniques is "Spurious regressions in econometrics" (Clive W. J. Granger, Paul Newbold, 1974), with 6,269 citations. Next come "Machine Learning: Algorithms, Real-World Applications and Research Directions" (5,413) and "On kinematic waves II. A theory of traffic flow on long crowded roads" (4,671).

Most cited papers
#PaperReleasedCitations
1 Spurious regressions in econometrics Clive W. J. Granger, Paul Newbold · Journal of Econometrics Jul 1974 6,269
2 Machine Learning: Algorithms, Real-World Applications and Research Directions Iqbal H. Sarker · SN Computer Science Open access 22 Mar 2021 5,413
3 On kinematic waves II. A theory of traffic flow on long crowded roads Michael James Lighthill, Gerald Beresford Whitham · Proceedings of the Royal Society of London A Mathematical and Physical Sciences 10 May 1955 4,671
4 Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Bing Yu, Haoteng Yin, Zhanxing Zhu Conference paperOpen access Jul 2018 3,631
5 T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction Ling Zhao, Yujiao Song, Chao Zhang et al. · IEEE Transactions on Intelligent Transportation Systems Open access 22 Aug 2019 3,346
All 100 most cited papers, with filters and sorting

Where is Traffic Prediction and Management Techniques research done?

The largest centres of Traffic Prediction and Management Techniques research in 2022-now are Beijing (China), Shanghai (China), Nanjing (China) and Xi'an (China).

Largest cities, 2022-now

  1. 1 BeijingChina 1.3k works
  2. 2 ShanghaiChina 465 works
  3. 3 NanjingChina 403 works
  4. 4 Xi'anChina 301 works
  5. 5 WuhanChina 264 works
  6. 6 ChennaiIndia 263 works
  7. 7 GuangzhouChina 229 works
  8. 8 ChengduChina 228 works
  9. 9 ChongqingChina 198 works
  10. 10 HangzhouChina 190 works
See Traffic Prediction and Management Techniques on the map

Where is the best place to study Traffic Prediction and Management Techniques?

Among universities, judged by research, University of Hong Kong, Hong Kong University of Science and Technology and Hong Kong Polytechnic 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%20%40%mean 22.8%fractional works in this field (log) →share of work in the world top 10% →University of Hong K…Hong Kong University…Hong Kong Polytechni…University of Centra…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1University of Hong KongChina 74.926.4%2.8×34 +184.6%
2Hong Kong University of Science and TechnologyChina 73.923.0%5.5×30 +197.7%
3Hong Kong Polytechnic UniversityChina 73.522.6%4.8×54 +156.9%
4University of Central FloridaUnited States 72.422.4%7.7×37 +20.9%
5Nanyang Technological UniversitySingapore 71.222.4%4.1×43 +71.2%
6Tsinghua UniversityChina 69.520.1%3.9×116 +51.2%
7Southeast UniversityChina 68.917.2%7.3×141 +36.9%
8Queensland University of TechnologyAustralia 65.833.9%3.4×15 +15.9%
9City University of Hong KongChina 65.622.0%2.1×15 +56.6%
10Beihang UniversityChina 65.518.0%5.6×80 +46.7%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Traffic Prediction and Management Techniques, country by country

Is Traffic Prediction and Management Techniques research growing?

Output in 2022-2025 was 79% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Traffic Prediction and Management Techniques.

still counting19801990200020102020
grewheldshrank

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

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Traffic Prediction and Management Techniques as a percentage of every work published that year, 0.071% in 2024.

still counting0.025%0.050%0.075%Traffic Prediction and Management Techniques0.073% in 202519801990200020102020

Fractional works of Traffic Prediction and Management Techniques over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Traffic Prediction and Management Techniques9.7% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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