| I&T Solution |
Artificial Intelligence Traffic Forecast Management
(REF: S-1385) |
| Trial Project |
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| Solution Feature |
- Provide vehicle tracking and flow prediction based on traffic video data
- Based on the traffic camera, the data is transmitted to the server, and the server loads the deep learning model type and return the result.
- Traffic flow forecast, road congestion level, dynamic allocation of traffic volume
- Identify recurring and non-recurring attributes
- Define metrics, congestion level classification
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| Trial Application and Expected Outcome |
- Calculate vehicle speed through vehicle target detection and video tracking
- Based on the linkage of multiple cameras on the main road, traffic congestion prediction is realized;
- According to the predicted future traffic congestion level, short-term traffic congestion prompts are realized.
- Traffic Congestion Prediction and Reporting at Typical and Atypical Moments from the Time Dimension
- Realize the congestion statistics of trunk roads and lanes in a short period of time
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| Additional Solution Information |
採用人工智能分析交通數據進行交通預測和管理.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Hong Kong Zi Wai Technology Limited | | Address | : | 上環禧利街27號富輝商業大廈7樓702室 | | Contact Person | : | ZHANG,YONGQIANG |
| Position | : | General manager | | Tel | : | 25185190 | | Email | : |
hkziwai@gmail.com | | Webpage | : | www.hkziwai.com |
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