| 1. | Stochastic user equilibrium model and algorithm based on mixed traffic
混合交通随机用户平衡分配模型及算法 |
| 2. | The function and error settings are only used for stochastic user equilibrium
函数和误差设置仅仅用在随机用户平衡模型中。 |
| 3. | Research on the mixed stochastic user equilibrium traffic assignment model under influence of atis
影响下的混合随机用户均衡交通分配模型研究 |
| 4. | The existing research has not really integrated the two systems and does not perfectly coordinate between user equilibrium and system equilibrium
现有的研究并未将控制和诱导完全实现真正的集成,没有有效协调用户最优和系统最优两个原则。 |
| 5. | The article sets up system equilibrium and user equilibrium coordination module regarding on the allocation and guidance problems existing in the traffic control system and traffic guidance system
针对控制与诱导系统一体化中分配、控制与诱导的问题,本文建立了用户最优-系统最优协调模型。 |
| 6. | An objective function is made using the trade - off between transportation and facility costs , within this model , the user equilibrium assignment procedure is used for determing truck and passenger car traffic on the road network under any location pattern of candidate sites of public logistics terminals
由于物流基地的选址与城市交通网络有密切的关系，因此文章在第4章着重闸述了城市交通网络的流量分配问题，主要是在用户平衡条件下的四种流量分配形式。 |
| 7. | The article will have a deep discussion about the comprehensive module of traffic control system and traffic guidance system as well as user equilibrium and system equilibrium principle . in the intelligent traffic system , traffic governor hope to allot traffic flow by system equilibrium principle while passengers could only choose appropriate paths by use equilibrium principle based on traffic information . the two principles are different with conflicting game relationship
在城市交通控制与诱导一体化智能交通管理系统中,交通管理者希望按系统最优原则分配交通流,出行者在根据诱导信息选择路径时却只可能遵循用户最优原则,目标不同,二者是有冲突的博弈关系。 |
| 8. | Based on the above elementary problems , the relation between system and user equilibrium patterns is discussed and the realization of so pattern is presented . the gap between the user equlirium and system optium is a key factor of the evoluation of the network . and the capcity of a given network is the extension of the max - flow problem
在网络需求相对固定后，系统最优目标值和用户平衡目标值之间的距离是一个重要参考指标，为宏观调控留下了空间，通过注入管理信息或改变网络使用者的网络费用矩阵，可以达到用户平衡下的行为实现系统最优的目标。 |
| 9. | At last , based on the feature integrating traffic simulation with traffic assignment , the paper compares the link volume by using different traffic assignment models , and analyzes the influence of user equilibrium and system ' s optimal assignments on travel time , travel speed as well as traffic volume on links . further , the paper introduces the study on the influence of traffic composition on road link dynamics and the traffic simulation application in formulating dynamic traffic assignment models
最后利用urbansim模型中交通仿真与交通分配相结合的特点，对比研究不同的交通分配方法在仿真模拟中路段产生的交通量，分析了交通分配中用户平衡和系统最优原理对路段行驶时间、行驶车速的影响，并进一步研究了交通量构成对路段动态特征指标的影响，以及利用交通仿真系统尝试在动态交通分配中进行应用研究。 |
