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Application and Development of Geographic Information Science in Intelligent Transportation

Weifeng Li

Abstract


Smart transportation plays a vital role in enhancing people's quality of life and has become an essential component of modern urban
planning and management. As the foundational discipline for spatial information acquisition, processing, and analysis, Geographic Information Science provides indispensable spatial frameworks and analytical methodologies for smart transportation. Its capabilities in precise
modeling and dynamic representation of geospatial data serve as critical technological support for addressing complex challenges such as
traffic congestion and safety hazards. From digital modeling of transportation networks to intelligent route planning, from real-time traffic
monitoring to optimized layout of transportation facilities, the integration of Geographic Information Science with smart transportation has
permeated every aspect of transportation systems. Exploring the application scenarios and development trends of Geographic Information Science in smart transportation not only enriches interdisciplinary theoretical research but also provides practical guidance for building efficient,
green, and safe modern transportation systems. This advancement drives the evolution of transportation systems toward a more adaptive and
forward-looking intelligent stage.

Keywords


Geographic information science; Intelligent transportation; Application

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References


[1] Wang Fuhai, Wang Yongxin, Zhang Dongpo, et al. Research on Geographic Information Data Mining Technology in Smart City Construction [J]. Science and Innovation, 2024(11):48-51.

[2] Cai Xianhua, Zhang Yuan, and Gao Shuting. Spatiotemporal Data and Its Applications in Smart Transportation [J]. Modern Surveying

and Mapping, 2022, 45(04):1-4.

[3] Pan Zhigang. Research on Development Strategies for Smart Parks [J]. Intelligent City, 2020, 6(18):12-14.

[4] Zhang Puzhao & Jiao Ping. Analysis of Challenges and Countermeasures in Smart Transportation Development in Shaanxi Province [J].

Transportation Enterprise Management, 2020, 35(04):16-17.




DOI: http://dx.doi.org/10.70711/frim.v3i12.7888

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