An Analysis of the Role of Smart Transportation in Economic Development under the Background of Big Data
Authors
Mingli Xu1, *, Dongdong Peng2, Junjie Xue3, Yiran Yin4
1Shandong High-Speed Information Group Co., Ltd, Ji’nan, China
2Jinan Municipal Bureau of Big Data, Ji’nan, China
3Shandong Electrical Engineering & Equipment Group XinNeng Science @Technology Co., Ltd, Ji’nan, China
4ZhongXing Intelligent Cloud Enterprise (Shandong) Co., Ltd, Ji’nan, China
*Corresponding author.
Email: 284595822@qq.com
Corresponding Author
Mingli Xu
Available Online 17 September 2024.
- DOI
- 10.2991/978-94-6463-516-4_37How to use a DOI?
- Keywords
- smart transportation; big data; transportation economy
- Abstract
Transportation still faces problems such as insufficient system coordination, uneven infrastructure configuration, and imperfect service systems. The application of big data technology has improved the intelligence level of transportation, provided strong support for management and decision-making, and promoted the development of smart transportation. Smart transit plays a crucial role in economic development in the era of big data.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Mingli Xu AU - Dongdong Peng AU - Junjie Xue AU - Yiran Yin PY - 2024 DA - 2024/09/17 TI - An Analysis of the Role of Smart Transportation in Economic Development under the Background of Big Data BT - Proceedings of the 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024) PB - Atlantis Press SP - 351 EP - 356 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-516-4_37 DO - 10.2991/978-94-6463-516-4_37 ID - Xu2024 ER -