尚志公铁立交桥橡胶支座合理布置与更换技术研究

橡胶支座是桥梁结构的重要组成部分。尽管橡胶支座的性能不断改进,布置不断完善,但不少桥梁建成后还是存在支座失效及梁体滑移问题,增加了桥梁的维修费用。对尚志公铁立交桥梁体滑移和橡胶支座合理布置的问题进行了探讨,提出了坡桥支座布置原则、钢扁担梁法支座更换新技术及动态控制等方法,以提高和改善橡胶支座的布置与更换技术。     

XML5163XLJ13型旅居客车开发

介绍XML5163XLJ13型旅居车的总体布置、结构特点,以及开发旅居客车的前景.     

低等级沿溪线公路提级改造设计

低等级沿溪线公路提级改造是目前公路建设中经常遇到的一种状况,多为依山傍水,具有展线困难、地方交通出行需求强、泥石流现象多发、生态环保要求高等特点。以111国道北京段二期沿溪线设计为例,总结其工程特点、难点,本着"利用现况、服务地方、安全预防、尊重自然、符合规范、以人为本"的设计理念,对设计中的一些体会进行分析、研究,可供相关专业人员参考。     

基于动态规划算法的舰空导弹火力分配模型研究

简要介绍火力最优分配问题中4个基本要素,并在此基础上,给出了舰空导弹火力分配模型数学表达式及其约束条件。运用动态规划算法,以对目标的最大毁伤值为目标函数,给出了动态规划的递推公式,并举例予以说明。     

Modeling capacity flexibility of transportation networks

Flexibility of the transportation system is one of the important performance measures needed to deal with demand changes. In this paper, we provide a quantitative assessment of capacity flexibility for the passenger transportation network using bi-level network capacity models. Two approaches for assessing the value of capacity flexibility are proposed. One approach is based on the concept of reserve capacity, which reflects the flexibility with respect to changes in terms of demand volume only. The second approach allows for variations in the demand pattern in addition to changes in demand volume in order to more fully capture demand changes. Two models are developed in the second approach to consider two types of capacity flexibility. The total capacity flexibility allows all users to have both route choice and destination choice when estimating capacity flexibility. The limited capacity flexibility estimates how much more demand volume could be added to a fixed demand pattern by allowing the additional demand to deviate from the fixed demand pattern. Numerical examples are provided to demonstrate the different concepts of capacity flexibility for a passenger transportation system under demand changes.     

A topological route choice model for metro

This article presents a route choice model for public transit networks that incorporates variables related to network topology, complementing those found in traditional models based on service levels (travel time, cost, transfers, etc.) and users’ socioeconomic and demographic characteristics (income level, trip purpose, etc.). The topological variables represent concepts such as the directness of the chosen route and user knowledge of the network. For both of these factors, the necessary data is endogenous to the modelling process and can be quantified without the need for information-gathering beyond what is normally required for building route choice models. Other novel variables in the proposed formulation capture notions of user comfort such as vehicle occupancy rates and certain physical characteristics of network stations. We conclude that these new variables significantly improve the explanatory and predictive ability of existing route choice specifications.     

Multi-objective optimization of a road diet network design

The present study focuses on the development of a model for the optimal design of a road diet plan within a transportation network, and is based on rigorous mathematical models. In most metropolitan areas, there is insufficient road space to dedicate a portion exclusively for cyclists without negatively affecting existing motorists. Thus, it is crucial to find an efficient way to implement a road diet plan that both maximizes the utility for cyclists and minimizes the negative effect on motorists. A network design problem (NDP), which is usually used to find the best option for providing extra road capacity, is adapted here to derive the best solution for limiting road capacity. The resultant NDP for a road diet (NDPRD) takes a bi-level form. The upper-level problem of the NDPRD is established as one of multi-objective optimization. The lower-level problem accommodates user equilibrium (UE) trip assignment with fixed and variable mode-shares. For the fixed mode-share model, the upper-level problem minimizes the total travel time of both cyclists and motorists. For the variable mode-share model, the upper-level problem includes minimization of both the automobile travel share and the average travel time per unit distance for motorists who keep using automobiles after the implementation of a road diet. A multi-objective genetic algorithm (MOGA) is mobilized to solve the proposed problem. The results of a case study, based on a test network, guarantee a robust approximate Pareto optimal front. The possibility that the proposed methodology could be adopted in the design of a road diet plan in a real transportation network is confirmed.     

On the fundamental diagram and supply curves for congested urban networks

Macroscopic fundamental diagrams (MFD) of traffic for some networks have been shown to have similar shape to those for single links. They have erroneously been used to help estimate the level of travel in congested networks. We argue that supply curves, which track vehicles in their passage through congested networks, are needed for this purpose, and that they differ from the performance curves generated from MFD. We use a microsimulation model, DRACULA and two networks, one synthesizing the network for Cambridge, England, and one of the city of York, England, to explore the nature of performance curves and supply curves under differing patterns of demand.We show that supply curves differ from performance curves once the onset of congestion is reached, and that the incorrect use of performance curves to estimate demand can thus seriously underestimate traffic levels, the costs of congestion, and the value of congestion relief measures. We also show that network aggregated supply curves are sensitive to the temporal distribution of demand and, potentially, to the spatial distribution of demand. The shape of the supply curve also differs between origin–destination movements within a given network.We argue that supply curves for higher levels of demand cannot be observed in normal traffic conditions, and specify ways in which they can be determined from microsimulation and, potentially, by extrapolating observed data. We discuss the implications of these findings for conventional modelling of network management policies, and for these policies themselves.     

关于公交线路线形及对位编码的思考

把城市公交线路站点进行线性回归,将其归纳为纵线、横线、左斜线、右斜线和环(含弧)线,并对社区公交提出新的见解.同时采用了分线形按方位区间分别对位编码的方法,对普通的公交线路番号的每个代码赋予特定的含义,使其具有明确的线路走向和方位识别功能.还对“线形布线及对位编码法”在实施中可能出现的问题及应对措施提出了自己的意见.该...     

黄山市慢行交通系统规划研究

在当前能源供应趋紧、城市交通拥堵加剧的背景下,规划完善的慢行交通系统,对于促进城市综合交通体系的可持续发展具有重要意义。基于黄山市慢行交通现状,明确黄山市慢行交通的功能定位和发展策略,构建主次搭配的分级慢行交通网络,并提出慢行设施的设置标准。