Cost scaling based successive approximation algorithm for the traffic assignment problem

This paper presents a cost scaling based successive approximation algorithm, called ε-BA (ε-optimal bush algorithm), to solve the user equilibrium traffic assignment problem by successively refining ε-optimal flows. As ε reduces to zero, the user equilibrium solution is reached. The proposed method is a variant of bush-based algorithms, and also a variant of the min-mean cycle algorithm to solve the min-cost flow by successive approximation. In ε-BA, the restricted master problem, implying traffic equilibration restricted on a bush, is solved to ε-optimality by cost scaling before bush reconstruction. We show that ε-BA can reduce the number of flow operations substantially in contrast to Dial’s Algorithm B, as the former operates flows on a set of deliberately selected cycles whose mean values are sufficiently small. Further, the bushes can be constructed effectively even if the restricted master problem is not solved to a high level of convergence, by leveraging the ε-optimality condition. As a result, the algorithm can solve a highly precise solution with faster convergence on large-scale networks compared to our implementation of Dial’s Algorithm B.     

呼和浩特市优先发展城市公共交通探讨

通过对呼和浩特市城市公共交通现状的分析,指出呼和浩特市公共交通存在的问题,进一步说明保证呼和浩特市公共交通优先发展在缓减交通压力、提高城市公共客运效益、环境保护方面的重要意义,同时提出呼和浩特市优先发展公共交通应采取的措施.     

The effects of planned and unplanned transfers on public transport users' perception of transfer routes

Many authorities are investing in new infrastructure to improve the quality of public transport (PT) services in the hope to increase mode switch from cars. The goal is to provide users with an integrated multimodal PT network by facilitating transfers. There exists a lack in the clarity of the attributes which defines a planned transfer and the effects of planned transfers on users' willingness to use routes with transfers. The present study provides approximate effects of ‘planned’ and ‘unplanned’ transfers on PT users' decisions to use transfer routes. The study focuses on two attributes of ‘planned’ transfers, integrated physical connection of transfers and information integration. A user preference survey was undertaken in Auckland, New Zealand. Analysis of the results shows that physical integration is more important than information integration for current PT users. Results also suggest that information integration has a greater influence on users of transfer services which are more closely aligned to being ‘unplanned’.     

基于宜兴市居民出行特征的客运交通发展对策研究

居民出行调查是城市交通规划、建设和管理的基本依据．本文根据宜兴市2002年居民出行调查的有关数据,对人均出行次数、平均出行时耗、出行方式构成、出行目的和出行时间分布等进行了分析,并在此基础上,结合宜兴市交通现状及城市总体规划,从优先发展公共交通、重视自行车交通、控制摩托丰发展、加强交通管制、强化市场机制、加强企业管理和政府扶持相结合以及颁布公交行业服务标准等方面,提出了宜兴市客运交通发展的几点对策．     

公路客运市场退出影响因素实证分析

通过对广东省公路客运企业和政府主管部门的问卷调查,采用因子分析方法,从影响客运市场退出的相关主体及相关行为中筛选出关键变量．运用非参数检验过程,就各关键变量对退出的影响程度进行比较,最终得出驾驶员和承包经营人的相关行为对公路客运市场退出最具影响的结论,为政府部门进行行业管理和政策制定提供了实证依据．     

基于灰色残差GM（1，1）模型的道路交通量预测的研究

道路交通体系是一个多因素、多层次、多目标的复杂系统。其中交通量信息系统具有明显的层次复杂性,结构关系的模糊性,动态变化的随机性,指标数据的不完全和不确定性。由于技术方法、人为因素、自然环境变化的影响,造成各种数据误差、短缺甚至虚假现象,系统的作用机制不明确,系统的状态、结构、边界关系难以精确描述,属于典型的灰色系统。在作量化、模型化、实体化研究时,能作为反映系统主要动态特征的数据是很少的。由于环境对系统的干扰,系统信息中原始数据序列往往呈现离乱情况,离乱数列即为灰色数列或称灰色过程,灰色理论利用那些较少的或不确切的表示系统行为特征的原始数据序列作生成变换后建立微分方程,对灰色过程建立的模型称为灰色模型（Greymodel）,简称GM模型。本文从理论上介绍了GM（1,1）模型和灰色残差GM（1,1）模型建立的一般过程,然后将其应用于交通量预测的实际例子中。预测结果表明,该方法是可行的。     

TOD交通走廊形成机理分析及经验借鉴——以美国阿灵顿县R-B走廊为例

TOD（Transit-Oriented Dovelopment,公共交通为导向的城市土地开发）交通走廊是以大运量的客运走廊为载体,通过选择若干站点进行TOD模式的开发,突破传统的单个节点开发形式,充分发挥规模效应,形成整合优势．本文以华盛顿特区西南部的阿灵顿县（Arlington County）的Rosslyn-Ballston轴状走廊（下文简称R—B走廊）为例,从宏观、中观和微观三个层次分析其形成机理,总结出TOD交通走廊建设的成功经验．     

关于高速公路交通安全设施的设置

交通安全设施对减轻事故的严重度,排除各种纵、横向干扰,提高道路服务水平,提供视线诱导,增强道路景观等起着重要的作用,属于道路的基础设施.     

一级公路交叉口设计中的交通安全问题及对策

一级干线公路由于开口较多,不可避免地存在较多的交通安全问题.文章以湖北荆监一级公路为例,针对交叉口设计中的交通安全典型问题,提出了改善方法及相关对策.     

福州市交通安全与智能交通系统探讨

智能交通系统是一个高科技集成系统,它综合运用各种高新技术于整个交通管理系统之中,可以系统、全面、高效地提高交通运输的安全性.文章阐述了智能交通系统在交通安全中的作用及在福州市的应用情况,指出了福州市发展智能交通的方向,以提高福州市的交通安全管理水平.