JackHCC/Graduation-Design

😁【北京市优秀毕业论文】基于车辆轨迹时空数据的城市热点预测模型研究【Urban hot spot prediction model based on spatiotemporal data of vehicle trajectory】

26
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Experimental

This project helps city planners and traffic managers understand and predict where traffic congestion (hot spots) will occur. It takes raw vehicle trajectory data (like GPS traces from taxis) and processes it to identify areas with high vehicle density. The output is a prediction of future traffic hot spots, visualized on a map, which can aid in traffic control and urban planning.

No commits in the last 6 months.

Use this if you need to anticipate future traffic congestion to optimize urban traffic flow or emergency service routing.

Not ideal if you're looking for real-time traffic updates or want to predict individual vehicle movements rather than aggregate hot spots.

urban-planning traffic-management transportation-logistics city-operations spatiotemporal-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 11 / 25

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Stars

32

Forks

4

Language

Python

License

Last pushed

Jan 29, 2022

Commits (30d)

0

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