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机译:基于动态OD估计和多目标优化的交叉口实时交通信号控制:组合模型和算法
Beijing Collaborative Innovation Center for Metropolitan Transportation, Beijing University of Civil Engineering and Architecture, People's Republic of China;
Beijing Collaborative Innovation Center for Metropolitan Transportation, Beijing University of Civil Engineering and Architecture, People's Republic of China;
Beijing Urban Transportation Infrastructure Engineering Technology Research Center, Beijing University of Civil Engineering and Architecture, People's Republic of China;
Beijing Urban Transportation Infrastructure Engineering Technology Research Center, Beijing University of Civil Engineering and Architecture, People's Republic of China;
Institute of Transportation Engineering, Tsinghua University, People's Republic of China;
Parsons Transportation Group, USA;
minimisation; queueing theory; road traffic control; signal processing;
机译:基于粒子群优化算法的交叉路口基于Pareto前沿的多目标实时交通信号控制模型:
机译:基于动态转动运动估计的交叉口多目标交通信号控制模型
机译:实时自适应交通信号控制算法的单路口评估
机译:基于多目标群的交叉口混合交通信号控制优化模型
机译:开发一种用于在实时自适应交通信号系统的控制下分析路口交通延误的建模方法。
机译:基于多目标粒子群算法融合的实时交通视频监控自适应车辆提取
机译:基于pareto前沿的交叉口多目标实时交通信号控制模型的粒子群优化算法
机译:基于行程时间的交通信号配时算法的发展,第一阶段:基于信号干线的交通密度估计的混合扩展卡尔曼滤波方法