Highway data information visualization tool based on D3.js and GeoJson

With the rapid development of smart highways, effective visualization and intelligent analysis of data information are important means to improve management efficiency and gain insight into traffic trends. This paper proposes a highway data information visualization tool based on D3.js and GeoJSON, aiming to achieve intuitive display and dynamic interaction of massive traffic data. The tool designs visualization functions of highway networks, toll stations, service areas and vehicle trajectories through a variety of methods such as basic data of highway networks and dynamic data of vehicle trajectories, and supports real-time monitoring and data analysis. Studies have shown that the tool performs well in scenarios such as road network section display, vehicle trajectory restoration, and abnormal event monitoring, which helps traffic managers quickly understand complex data and thus optimize decision-making strategies. Experimental results verify the effectiveness of the tool and its application potential in highway management.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/dsit61374.2024.10881407
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
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Highway data information visualization tool based on D3.js and GeoJson

Zhiqiang Cai, Teng Qiu, Mingkun Gao, Jie Yang et al.
Advanced Computational Techniques and Applications
article

Highway data information visualization tool based on D3.js and GeoJson

Zhiqiang Cai, Teng Qiu, Mingkun Gao, Jie Yang, Zhuo Duan
article en

Abstract

With the rapid development of smart highways, effective visualization and intelligent analysis of data information are important means to improve management efficiency and gain insight into traffic trends. This paper proposes a highway data information visualization tool based on D3.js and GeoJSON, aiming to achieve intuitive display and dynamic interaction of massive traffic data. The tool designs visualization functions of highway networks, toll stations, service areas and vehicle trajectories through a variety of methods such as basic data of highway networks and dynamic data of vehicle trajectories, and supports real-time monitoring and data analysis. Studies have shown that the tool performs well in scenarios such as road network section display, vehicle trajectory restoration, and abnormal event monitoring, which helps traffic managers quickly understand complex data and thus optimize decision-making strategies. Experimental results verify the effectiveness of the tool and its application potential in highway management.

Southwest Jiaotong University (CN), Southeast University (CN), Northeastern University (CN)
Openalex Percentile: Top 75%
Advanced Computational Techniques and Applications
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