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.
Authors
- Zhiqiang Cai (ORCID: https://orcid.org/0000-0002-9180-675X)
- Teng Qiu (ORCID: https://orcid.org/0000-0002-1160-2619)
- Mingkun Gao (ORCID: https://orcid.org/0000-0002-3465-3275)
- Jie Yang (ORCID: https://orcid.org/0000-0002-6580-9287)
- Zhuo Duan
Institutions
- Southwest Jiaotong University (CN)
- Southeast University (CN)
- Northeastern University (CN)
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
- 0.00