Author(s)

Jianguo Guo ¹

Affiliation(s)

¹ Zhengzhou Tiamaes Technology Co., Ltd., Zhengzhou, Henan, 450000, China

Corresponding Author

Jianguo Guo

ABSTRACT

This study investigates the collaborative relationship between engineering practice and standardization frameworks in the development of data-driven intelligent urban public transportation systems. Focusing on system-level engineering architecture design, the research integrates intelligent travel digitalization and new-energy public transportation technologies to explore how data-driven mechanisms support large-scale system implementation. By reviewing the current development of intelligent public transportation at both domestic and international levels and analyzing representative engineering cases—including the Qianhai autonomous bus system and Huahai Zhihui's vehicle–road–cloud integrated solution—this study examines the full-chain effects of data empowerment and multi-technology integration. In response to the persistent disconnection between engineering practice and standard formulation, a collaborative pathway characterized by "technology research and development–scenario implementation–standard output" is proposed. The findings indicate that a data-driven system-level architecture provides fundamental support for efficient system operation, while effective coordination between engineering practice and standardization frameworks is critical for the scalable deployment of intelligent public transportation technologies. This research offers both theoretical insights and practical references for intelligent transportation innovation, standard development, and the implementation of China's Transportation Power strategy.

KEYWORDS

Intelligent transportation systems; Urban public transportation; Data-driven architecture; Engineering practice; Standardization frameworks; New-energy public transit

CITE THIS PAPER

Jianguo Guo. Data-Driven Intelligent Urban Public Transportation Systems: A Study on the Collaborative Path between Engineering Practice and Standardization Frameworks. Journal of Civil Engineering and Urban Planning (2026). Vol. 8, No.1, 12-19. DOI: http://dx.doi.org/10.23977/jceup.2026.080102.

REFERENCES

[1] He Hongwen, Sun Fengchun, Li Menglin. Current Status and Future Development of China's Comprehensive Transportation Engineering Science and Technology[J]. China Engineering Sciences, 2023, 25(6): 202-211.
[2] McGee E T, McGregor J D. Data analytics in systems engineering for intelligent transportation systems[M]//Data Analytics for Intelligent Transportation Systems. Elsevier, 2025: 213-234.
[3] Hassan M, Mahin H D, Al Nafees A, et al. Big data applications in intelligent transport systems: a bibliometric analysis and review[J]. Discover Civil Engineering, 2025, 2(1): 49.
[4] Mirza A M, Jain R K. Review of public transportation integration and modeling strategies: Toward seamless urban mobility[J]. Multidisciplinary Reviews, 2025, 8(1): 2025018.
[5] Cordoș N, Duma I, Moldovanu D, Todoruț A, Barabás I. An overview of intelligent transportation systems in Europe[J]. World Electric Vehicle Journal, 2025, 16(7): 387. 
[6] China Communications and Transportation Association. China Intelligent Transportation Development Report (2023)[R]. Beijing: China Communications Press, 2023. 
[7] Fernandez R, Swart W. The new ISO 56000 family of standards for innovation management[J]. Standards, 2025, 5(4): 34. 
[8] Steinberger-Wilckens R, Duarte F, Hammerschmidt J, et al. A systematic review of responsible standardisation and its implications for innovation governance[J]. Ethics and Information Technology, 2025, 27: 43.

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