Science Explorer Interactive view Map
Topic · Building and Construction

Smart Parking Systems Research

Smart Parking Systems Research is a research topic within Building and Construction. Science Explorer counts 15k research works in it since 1950. 16.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on smart parking solutions and management, including IoT-based systems, resource allocation, deep learning for occupancy detection, dynamic pricing, and the impact of parking policies on urban traffic. It also covers topics such as intelligent car park management, wireless sensor networks, and the economics of parking. The papers explore various technologies and strategies to optimize parking availability and reduce congestion in urban areas.

  • Smart Parking
  • IoT
  • Parking System
  • Urban Traffic
  • Parking Policy
  • Resource Allocation
  • Deep Learning
  • Wireless Sensor Networks
  • Dynamic Pricing
  • Intelligent Car Park
Research works
15k
fractional, since 1950
In the world top 10%
2.6k
per year above
Top-10% rate
16.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+106%
the tick is no change

Which countries lead Smart Parking Systems Research research?

By volume, China and India publish the most (1k and 992 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1k works
  2. 2 India 992 works
  3. 3 United States 383 works
  4. 4 Indonesia 218 works
  5. 5 Brazil 176 works
  6. 6 Japan 120 works
  7. 7 Türkiye 108 works
  8. 8 Italy 97 works
  9. 9 United Kingdom 96 works
  10. 10 Germany 93 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: 30.5%India: 30.2%United States: 11.7%Indonesia: 6.6%6 others listed: 21.1%30%largest
China1,001 · 30.5%India992 · 30.2%United States383 · 11.7%Indonesia218 · 6.6%6 others listed692 · 21.1%

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

Which institutions lead Smart Parking Systems Research research?

By volume in 2022–2025, Saveetha University publishes the most Smart Parking Systems Research research, followed by Vellore Institute of Technology University and SRM Institute of Science and Technology.

By volume, 2022–2025

  1. 1 Saveetha UniversityIndia 37 works
  2. 2 Vellore Institute of Technology UniversityIndia 29 works
  3. 3 SRM Institute of Science and TechnologyIndia 26 works
  4. 4 Southeast UniversityChina 25 works
  5. 5 Beijing Jiaotong UniversityChina 23 works
  6. 6 Amrita Vishwa VidyapeethamIndia 23 works
  7. 7 Tsinghua UniversityChina 22 works
  8. 8 Tongji UniversityChina 21 works
  9. 9 Hong Kong Polytechnic UniversityHong Kong 17 works
  10. 10 Wuhan University of TechnologyChina 17 works

Where is Smart Parking Systems Research research done?

The largest centres of Smart Parking Systems Research research in 2022–2025 are Beijing (China), Chennai (India), Shanghai (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada, Greater Noida and Coimbatore.

Largest cities, 2022–2025

  1. 1 Beijing China 186 works
  2. 2 Chennai India 119 works
  3. 3 Shanghai China 88 works
  4. 4 Nanjing China 70 works
  5. 5 Pune India 60 works
  6. 6 Coimbatore India 57 works
  7. 7 Wuhan China 56 works
  8. 8 Bengaluru India 55 works
  9. 9 Guangzhou China 48 works
  10. 10 Tokyo Japan 48 works

Where it is the local speciality

  1. VijayawadaIN · 22.9 works10×
  2. Greater NoidaIN · 22.6 works7.4×
  3. CoimbatoreIN · 57.1 works6.8×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Smart Parking Systems Research than the world average.

See Smart Parking Systems Research on the map

Where is the best place to study Smart Parking Systems Research?

Among universities, judged by research, Amrita Vishwa Vidyapeetham, Vellore Institute of Technology University and Saveetha 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%10%20%30%mean 17.54%fractional works in this node (log) →share in the world top 10% →Amrita Vishwa Vidyapeetham: 23, 10.3%Vellore Institute of Technology University: 29, 13.7%Saveetha University: 37, 12.1%Tsinghua University: 22, 28.0%King Abdulaziz University: 9, 23.2%Beijing Jiaotong University: 23, 14.5%Hong Kong Polytechnic University: 17, 21.6%Koneru Lakshmaiah Education Foundation: 10, 24.0%SRM Institute of Science and Technology: 26, 9.9%Lovely Professional University: 14, 18.1%Tsinghua UniversityVellore Institute of…Saveetha UniversityAmrita Vishwa Vidyap…
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
1 Amrita Vishwa VidyapeethamIndia 61.010.3%8.9×23 +511.9%
2 Vellore Institute of Technology UniversityIndia 59.513.7%6.1×29 +1090.4%
3 Saveetha UniversityIndia 58.912.1%7.9×37 —
4 Tsinghua UniversityChina 52.928.0%2.3×22 +101.8%
5 King Abdulaziz UniversitySaudi Arabia 51.923.2%3.5×9 +256.2%
6 Beijing Jiaotong UniversityChina 51.414.5%7.8×23 +33.7%
7 Hong Kong Polytechnic UniversityHong Kong 51.421.6%4.0×17 +21.5%
8 Koneru Lakshmaiah Education FoundationIndia 49.024.0%7.1×10 —
9 SRM Institute of Science and TechnologyIndia 46.29.9%6.3×26 —
10 Lovely Professional UniversityIndia 45.918.1%5.9×14 —

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 Smart Parking Systems Research research growing?

Output in 2018–2022 was 106% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Smart Parking Systems Research.

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.