检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]福州大学土木工程学院,福州350116 [2]北京工业大学北京城市交通协同创新中心,北京100124
出 处:《物理学报》2017年第6期8-22,共15页Acta Physica Sinica
基 金:国家自然科学基金(批准号:51308126;51378036;51308018)资助的课题~~
摘 要:在现实交通系统中,网络的交通需求是可变的,随交通运行状态而改变.针对需求可变情形,以含两条路径的简单路网为例,建立了弹性需求下的网络交通流逐日动态演化模型,基于非线性动力学理论,证明了动态演化模型的不动点存在且唯一,并且推导出了弹性需求下网络交通流动态演化的稳定性条件.通过数值实验,分析了网络交通流演化特征.研究发现:在一定条件下流量演化会出现分岔和混沌现象,并且出行者的出行需求对费用越敏感,系统演化越可能稳定;出行者路径选择的随机性越小,系统演化越不可能稳定;出行者对前一天实际费用的依赖程度越小,系统演化越可能稳定.Network traffic flow is an aggregated result of a huge number of travelers' route choices,which is influenced by the travelers' choice behaviors.So day-to-day traffic flow is not static,but presents a complex and tortuous day-to-day dynamic evolution process.Studying day-to-day dynamic evolution of network traffic flow,we can not only know whether the traffic network equilibrium can be reached and how the process is achieved,but also can know what phenomenon will occur in the evolution of network traffic flow if the equilibrium is not reached.In a real traffic system,taking day as scale unit,the day-to-day network traffic demand is variable and changes with everyday's traffic network state.The travelers' route choices are also influenced by the previous day's behaviors and network state.Then,will the day-to-day network traffic flow evolution be stable? If it is unstable,when will bifurcation and chaos occur? In this paper we discuss the day-to-day dynamic evolution of network traffic flow with elastic demand in a simple two-route network.The dynamic evolution model of network traffic flow with elastic demand is formulated.Based on a nonlinear dynamic theory,the existence and uniqueness of the fixed point of dynamic evolution model are proved,and an equilibrium stability condition for the dynamic evolution of network traffic flow with elastic demand is derived.Then,the evolution of network traffic flow is investigated through numerical experiments by changing the three parameters associated with travelers,which are the sensitivity of travelers' travel demand to travel cost,the randomness of travelers' route choices,and travelers' reliance on the previous day's actual cost.Our findings are as follows.Firstly,there are three kinds of final states in the evolution of network traffic flow: stability and convergence to equilibrium,periodic motion and chaos.The final state of the network traffic flow evolution is related to the above three parameters.It is found that under certain conditions the
分 类 号:U491.112[交通运输工程—交通运输规划与管理]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.28