机译:基于有理理性的城市轨道交通日常行为演化模型
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;
MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;
School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue. 639798, Singapore;
Department of Civil Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada E3B 5A3;
MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;
MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;
Urban railway network; Bounded rationality; Day-to-day dynamic; Detrended fluctuation analysis;
机译:每天变化的基于可靠性的网络流量估计:真实大型城市网络的模型验证
机译:使用基于自适应网络的模糊推理系统(ANFIS)进行日常旅行时间感知建模
机译:基于旅行行为分析的城市轨道交通网络脆弱性评估
机译:旅行行为影响的网络流量流动的日常动态演变
机译:基于活动的出行行为分析和需求预测的人口演化建模系统。
机译:基于黄金比例遗传算法的城市道路交通网络容量扩展建模与分析方法
机译:基于分解行为模型的城市旅行需求预测城市旅行需求的模型系统 - non-worker旅行需求模型 -
机译:旅行行为分析,需求预测和建模网络的创新