路段流量预测模型
收藏上海数据交易所2024-11-07 更新2024-12-16 收录
下载链接:
https://nidts.chinadep.com/ep-hall/spec?id=6125
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资源简介:
基于历史交通数据、节假日特征和实时监测数据,运用机器学习算法精准预测未来路段的交通流量变化。通过大数据和深度学习技术,模型能够提供短期与长期流量预测结果。该产品的预测功能帮助用户提前制定交通疏导策略,优化资源分配,提高道路通行效率。
Leveraging historical traffic data, holiday characteristics and real-time monitoring data, machine learning algorithms are employed to accurately predict traffic flow variations on future road segments. By utilizing big data and deep learning technologies, the model can generate both short-term and long-term traffic flow prediction results. The prediction function of this product assists users in formulating traffic management strategies in advance, optimizing resource allocation, and improving road traffic efficiency.
提供机构:
云南云通数联科技有限公司
创建时间:
2024-11-07
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