为了研究区域管制空域对机场容量的限制,提出一种基于细胞传输模型的区域容量评估方法。首先,基于细胞传输模型对区域进行建模;其次,以区域容量作为目标函数、以细胞容量为限制条件构建混合整数线性规划模型;最后,采用遗传算法进行求解...为了研究区域管制空域对机场容量的限制,提出一种基于细胞传输模型的区域容量评估方法。首先,基于细胞传输模型对区域进行建模;其次,以区域容量作为目标函数、以细胞容量为限制条件构建混合整数线性规划模型;最后,采用遗传算法进行求解。经过与TAAM(total airspace and airport modeler)仿真软件的验证结果表明误差小、精度高,说明该方法可对区域容量进行准确评估。展开更多
The objective of this work is to develop a novel feature for traffic flow models, when traffic queues on two-way arterials periodically extend until then they block an upstream signal in oversaturated conditions. The ...The objective of this work is to develop a novel feature for traffic flow models, when traffic queues on two-way arterials periodically extend until then they block an upstream signal in oversaturated conditions. The new model, proposed as conditional cell transmission model （CCTM） has been developed with two improvements. First, cell transmission model （CTM） is expanded for two-way arterials by taking account of all diverging and merging activities at intersections. Second, a conditional cell is added to simulate periodic spillback and blockages at an intersection. The results of experiments for a multilane, two-way, three-signal sample network demonstrate that CCTM can accommodate various traffic demands and accurate representation of blockages at intersections. The delay of left turns is underestimated by 40 % in moderate conditions and by 58% in oversamrated condition when using the CTM rather than CCTM. Finally, the consistency between HCS 2000 and CCTM shows that CCTM is a reliable methodology of modeling traffic flow in oversaturated condition.展开更多
文摘为了研究区域管制空域对机场容量的限制,提出一种基于细胞传输模型的区域容量评估方法。首先,基于细胞传输模型对区域进行建模;其次,以区域容量作为目标函数、以细胞容量为限制条件构建混合整数线性规划模型;最后,采用遗传算法进行求解。经过与TAAM(total airspace and airport modeler)仿真软件的验证结果表明误差小、精度高,说明该方法可对区域容量进行准确评估。
基金Project(51108343) supported by the National Natural Science Foundation of ChinaProject(06121) supported by University of Transportation Center for Alabama,USA
文摘The objective of this work is to develop a novel feature for traffic flow models, when traffic queues on two-way arterials periodically extend until then they block an upstream signal in oversaturated conditions. The new model, proposed as conditional cell transmission model （CCTM） has been developed with two improvements. First, cell transmission model （CTM） is expanded for two-way arterials by taking account of all diverging and merging activities at intersections. Second, a conditional cell is added to simulate periodic spillback and blockages at an intersection. The results of experiments for a multilane, two-way, three-signal sample network demonstrate that CCTM can accommodate various traffic demands and accurate representation of blockages at intersections. The delay of left turns is underestimated by 40 % in moderate conditions and by 58% in oversamrated condition when using the CTM rather than CCTM. Finally, the consistency between HCS 2000 and CCTM shows that CCTM is a reliable methodology of modeling traffic flow in oversaturated condition.
