基于电子收费收费车道规则的城市高速公路和道路的合作优化战略
1College of Landscape Architecture and Art, Xinyang Agriculture and Forestry University, Xinyang, 464000, China.
Scientific reports
|September 26, 2025
概括
本研究介绍了使用长短期内存 (LSTM) 网络的电子收费系统车道控制方法,以优化城市交通流动. 这种新的方法通过减少拥堵和提高道路效率来提高交通管理.
科学领域:
- 智能运输系统 智能运输系统
- 交通工程是交通工程.
- 数据科学数据科学数据科学
背景情况:
- 城市交通拥堵是影响效率和道路利用的重大挑战.
- 城市高速公路和城市道路之间的协调优化对于有效的交通管理至关重要.
研究的目的:
- 为电子收费系统提出一种新的车道控制方法,以优化城市交通流动.
- 通过动态车道调整来提高交通流效率和缓解拥堵.
主要方法:
- 利用长短期内存 (LSTM) 网络算法进行准确的流量预测.
- 开发了城市高速公路和城市道路的协作优化模型.
- 在电子收费系统中集成的车道控制机制.
主要成果:
- 与其他模型相比,拟议的模型在处理时间,资源利用率,训练时间,回归损失和融合速度方面表现优越.
- 在METR-LA数据集上实现了25.34秒的处理时间,78.4%的资源利用率和0.0237的回归损失.
- 具有强大的短期预测能力,模型延迟为9.67s,预测稳定性为90.4%.
结论:
- 这项研究为实时城市交通管理提供了有效的工具.
- 提出的方法优化了交通流量,减少了拥堵,并提高了整体道路利用效率.
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