Application and Future Development of Big Data Technology in Intelligent Transportation Systems

In this research plan, we employ a literature review approach to summarize the current state and development trends of big data technology in intelligent transportation systems. By collecting and analyzing relevant literature from both domestic and international sources, we organize case studies of big data applications in intelligent transportation systems. This allows us to analyze the shortcomings of existing research and identify the challenges that will be faced in future development. Additionally, we can propose future research directions and key focuses. Through this research, we hope to provide valuable assistance for future studies in this field.

Authors

Institutions

Publication Details

Journal
International Journal of Computer Science and Information Technology
Published
2024-12-20
DOI
https://doi.org/10.62051/ijcsit.v4n3.24
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application and Future Development of Big Data Technology in Intelligent Transportation Systems

Yuhe Yang
International Journal of Computer Science and Information Technology
Technology and Data Analysis
article

Application and Future Development of Big Data Technology in Intelligent Transportation Systems

Yuhe Yang
article en

Abstract

In this research plan, we employ a literature review approach to summarize the current state and development trends of big data technology in intelligent transportation systems. By collecting and analyzing relevant literature from both domestic and international sources, we organize case studies of big data applications in intelligent transportation systems. This allows us to analyze the shortcomings of existing research and identify the challenges that will be faced in future development. Additionally, we can propose future research directions and key focuses. Through this research, we hope to provide valuable assistance for future studies in this field.

International Journal of Computer Science and Information TechnologyVol. 4(3)
Beijing Information Science & Technology University (CN)
Openalex Percentile: Top 56%
Technology and Data Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.