Traffic control for the improvement of sustainability in freeway networks: a bibliometric analysis

Sacone, Simona; Pasquale, Cecilia; Siri, Silvia; Ferrara, Antonella

doi:10.1016/j.ifacol.2020.12.2655

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…Bibliometric analysis is a commonly used method to analyse the development process of a certain research area. Based on mathematical and statistical methods, bibliometric analysis could be used to discover the development status, characteristics, patterns and trends in science and technology [7]. Currently used bibliometric analysis software includes CiteSpace, VOSviewer, Pajeck, Histcite and BibExcel.…”

Section: Introductionmentioning

confidence: 99%

Trend analysis of traffic management based on literature data mining and graph analysis tools

Ding

Liu

Wang

et al. 2023

IET Intelligent Trans Sys

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Studites on traffic management is crucial for the development of intelligent transportation systems and smart cities. However, identifying the development stages of traffic management field based on bibliometric analysis is still lacking. In this study, CiteSpace and VOSviewer software are used to explore “traffic management” field by summarizing development process and predicting future research trend. A total of 3,028 relevant documents over the past 40 years were collected from Web of Science. Results show that (1) studies on traffic management were mainly published by researchers from USA (30.55%), China (20.90%), and some European countries; (2) the key traffic management research contents can be classified into four categories, that is, background requirements, traffic problems, method models, and control strategies; (3) the evolution process can be divided into four stages, that is, budding stage (1990–1994), development stage (1995–2003), calm stage (2004–2010), and maturation stage (2011–); (4) machine learning, deep learning and other intelligent algorithms have played more important roles in recent years, and connected vehicle management is also a potential development trend. Results suggest that cooperative vehicle‐infrastructure systems or machine learning‐based studies might be the hotspots on traffic management studies.

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Section: Introductionmentioning

confidence: 99%

Trend analysis of traffic management based on literature data mining and graph analysis tools

Ding

Liu

Wang

et al. 2023

IET Intelligent Trans Sys

View full text Add to dashboard Cite

show abstract

Transport emission models: A bibliometric and content analysis

Rauf¹,

Sikandar²,

Umar³

2022

J Pub val Ad Ins

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Environment deterioration and subsequent climate change require the accountability of each contributor. Pollutants produced from fossil fuel in the transport sector is measured using emission models and this paper offers a Bibliometric analysis of these models from 1990-2020 of previous literature supported with the content analysis done in two tiers; review of the most cited research work of last ten years and the evolving research themes from recently published articles of last five years. From Bibliometric analysis, we identified top authors, institutions and journals, co-occurrence analysis of keywords, and co-authorship countries. Content analysis revealed that emission models have evolved globally with modifications and integrations of new techniques, multi disciplinary variables combining emission, transport, air quality, dispersion, and environment models. The technological adaptations in models have also been carried out locally by some countries bringing transport emissions to inventory counting for global warming potential. Research trends for future emission reduction suggest that besides the warming potential of fossil fuel from the transport sector, parallel reductions can be achieved through efficient traffic planning, road designs, driving patterns, stop and go cycles, traffic calming techniques impacting spatial and temporal goals through reduced clustering and hot spots.

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Traffic control for the improvement of sustainability in freeway networks: a bibliometric analysis

Cited by 2 publications

References 12 publications

Trend analysis of traffic management based on literature data mining and graph analysis tools

Trend analysis of traffic management based on literature data mining and graph analysis tools

Transport emission models: A bibliometric and content analysis

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