公交网络中基于弹性需求和能力限制条件下的SUE配流模型及算法(Ⅱ)

首先证明了当出行者人数达到公交实际运行能力后 ,作者所设计模型的拉格朗日乘子就代表乘客在公交车站由于能力所限而上不了车从而导致在车站的延误时间 ,然后设计了该模型的求解算法 ,最后给出了算例 .     

Modeling an Elastic-Demand Bimodal Transport Network with Park-and-Ride Trips

This paper presents a network equilibrium formulation for modeling commuters＇ travel choices in a bimodal transport system with park-and-ride （P＆R） trips while the total demand is elastic to the congestion level of the network. A super-network approach is adopted in the proposed model. It is assumed that commuters＇ trips are categorized into two types, auto mode only and a combined mode with both auto and transit modes. The former is referred to as the pure mode trip and the latter as the P＆R mode trip. The proposed model simultaneously considers the commuter＇s choice of the pure mode versus the P＆R mode, the choice of parking location for the pure mode, the choice of transfer point for the P＆R mode, as well as the route choice for each mode. The demand elasticity of transport system, the capacity constraints of transport facilities, and the congestion interaction throughout the super-network are also explicitly incorporated into the proposed model. The results of the numerical experiment show the following key findings： （i） traditional parking/P＆R models may overestimate or underestimate travel demand distribution over network; （ii） parking/P＆R, transit scheduling, and carpooling schemes bring significant impacts on commuters＇ travel behavior and network performance; and （iii） different transport policies may be to some extent mutually substituted .     

玻璃量器检定中需要注意的问题初探

常用玻璃量器在实验室的计量、测试、定量分析中应用广泛,本文就玻璃量具检定中需要注意的问题进行了详细地表述。     

Optimization of Time-Varying Parking Charges and Parking Supply in Networks with Multiple User Classes and Multiple Parking Facilities

The optimization of parking charges and parking supply over the time of a day is an important problem in the design of transportation networks. This paper presents a bilevel model to determine the opti-mal time-varying parking charges and parking supply in road networks with multiple user classes and different types of parking facilities. The upper level of the model aims to maximize the network net benefit in response to the parking charges and parking supply, whereas the lower level is a time-dependent network equilibrium problem with elastic demand. A descent-gradient-based solution algorithm is adapted to solve the model. The numerical results show that the implementation of time-varying parking charges and parking supply is useful to effectively cater to the time-varying demand with different parking needs. The model provides a powerful tool for strategically designing parking locations and evaluating various parking policies.     

公交网络中基于弹性需求和能力限制条件下的SUE配流模型及算法(Ⅰ)

介绍了公交网络的表示方法及有关基本概念 ,并建立了适合公共交通分析的公交阻抗函数 ,最后提出了公交网络中具有弹性需求和能力限制条件下的随机用户平衡配流模型 .设计了模型的求解算法并给出了算例 .