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Congestion estimation and turning ratio prediction based on machine learning with applications in urban traffic light control

机译：基于机器学习与城市交通灯控制应用的拥塞估计和转向比预测

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Qixing Chen;
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1. Intelligent Vehicle Power Control Based on Machine Learning of Optimal Control Parameters and Prediction of Road Type and Traffic Congestion [J] . Park J., Chen Z., Kiliaris L., Vehicular Technology, IEEE Transactions on . 2009,第9期

机译：基于机器学习的最优控制参数的智能汽车功率控制以及道路类型和交通拥堵的预测
2. Urban traffic congestion estimation and prediction based on floating car trajectory data [J] . Xiangjie Kong, Zhenzhen Xu, Guojiang Shen, Future generation computer systems . 2016,第auga期

机译：基于浮动汽车轨迹数据的城市交通拥堵估计与预测
3. Urban Traffic Congestion Evaluation Based on Kernel the Semi-Supervised Extreme Learning Machine [J] . Qing Shen, Xiaojuan Ban, Chong Guo Symmetry . 2017,第5期

机译：基于半监督极限学习机核的城市交通拥挤评价
4. Short-term traffic predictions on large urban traffic networks: Applications of network-based machine learning models and dynamic traffic assignment models [C] . Fusco Gaetano, Colombaroni Chiara, Comelli Luciano, 2015 International Conference on Models and Technologies for Intelligent Transportation Systems . 2015

机译：大型城市交通网络的短期交通预测：基于网络的机器学习模型和动态交通分配模型的应用
5. Smart City: A Traffic Signal Control System for Reducing the Effects of Traffic Congestion in Urban Environments [D] . Hardy, James. 2019

机译：智能城市：交通信号控制系统，用于减少城市环境中交通拥堵的影响＆＃xa0;
6. Research on Short-Term Urban Traffic Congestion Based on Fuzzy Comprehensive Evaluation and Machine Learning [O] . Yuan Mei, Ting Hu, Li Chun Yang -1

机译：基于模糊综合评价和机器学习的城市短时交通拥堵研究
7. Short-term traffic predictions on large urban traffic networks: applications of network-based machine learning models and dynamic traffic assignment models [O] . Fusco Gaetano, Colombaroni Chiara, Comelli Luciano, 2015

机译：大型城市交通网络的短期交通预测：基于网络的机器学习模型和动态交通分配模型的应用
8. Intelligent Vehicle Power Control Based on Prediction of Road Type and Traffic Congestions [R] . Park, J., Chen, Z., Kuang, M., 2008

机译：基于道路类型和交通拥堵预测的智能车辆功率控制

Congestion estimation and turning ratio prediction based on machine learning with applications in urban traffic light control

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