Overview of public transport policy developments in South Africa

Public transport in South Africa is one of the most burning issues in the transport sector. The government is faced with huge public pressure to improve public transport systems in the face of rising fuel costs, the pending implementation of expensive urban toll road systems in the Gauteng province, and elsewhere in urban environments, public transport safety issues, public transport fleet renewal, especially the commuter rail services, as well as limited resources to fund public transport. As a developing country, the South African Government has pressing funding issues such as funds needed to improve housing for the poor to improve schooling and public health services. Government is also faced with a vocal minibus taxi industry that transports an estimated 65% of all commuters in the country that is also insisting on subsidies for its services.     

多值非线性系统的自适应控制

提出了带有多值非线性环节的线性离散系统的自适应控制算法，仿真实验的结果表明：该算法简单易行具有明显的优点，跟踪误差比采用一般的自适应控制算法时要小得多，且能保证闭环系统大范围近收敛。     

BITBUS结构及其在电气化复线渡线开关监控系统中的应用

本文提出在电气化铁路远动系统中采用高性能，低价格，灵活易用的通讯网络ＢＩＴＢＵＳ构成分层的分布式网络系统，用网络结构代替常规的双机加切换器的结构。既简化了系统结构了又成功地解决了系统资源的共与分配，并为系统以后可能的扩展与联网打下了基础。运用软件工程学的有关技术和方法开发系统软件，使系统结构清晰，易于维护和扩充，本文针对电气化复线渡线开关监控系统的特点，给出了该系统采用的软，硬件方案及其实现过程。     

An agent-based approach to modelling driver route choice behaviour under the influence of real-time information

This paper presents an agent-based approach to modelling individual driver behaviour under the influence of real-time traffic information. The driver behaviour models developed in this study are based on a behavioural survey of drivers which was conducted on a congested commuting corridor in Brisbane, Australia. Commuters’ responses to travel information were analysed and a number of discrete choice models were developed to determine the factors influencing drivers’ behaviour and their propensity to change route and adjust travel patterns. Based on the results obtained from the behavioural survey, the agent behaviour parameters which define driver characteristics, knowledge and preferences were identified and their values determined. A case study implementing a simple agent-based route choice decision model within a microscopic traffic simulation tool is also presented. Driver-vehicle units (DVUs) were modelled as autonomous software components that can each be assigned a set of goals to achieve and a database of knowledge comprising certain beliefs, intentions and preferences concerning the driving task. Each DVU provided route choice decision-making capabilities, based on perception of its environment, that were similar to the described intentions of the driver it represented. The case study clearly demonstrated the feasibility of the approach and the potential to develop more complex driver behavioural dynamics based on the belief–desire–intention agent architecture.     

新型船舶运动控制平台及海上试验

研制出一艘以水动力学相似准则缩尺的无人驾驶遥控模型船，模型船装有PC／104为主控计算机的船舶控制器，模型船由岸上主PC机遥控，用Honeywell公司的HMR3000碰罗经测量航导，用差分GPS系统定位，自主控制和推进，该遥控篡自治船舶运动控制已经进行了两次海上试验并取得成功，本文介绍该平台的系统设计，控制系统硬件和软件和海上试验经。     

AutoLISP程序设计的若干问题

本文剖析了 AutoLISP 程序的结构特点,运行长大程序的措施和数据文件的组织等三个方面的问题.     

数据库直接基于SQL的XML动态发布方案

网络环境下的数据库共享与集成一体化解决方案讨论是一个热门话题。XML的出现为Internet上数据存储和数据交换提供了很大的发展空间。提出了数据库直接基于SQL的XML动态发布方案，论述了方案的基本思想、整体框架和关键算法，最后介绍了最终实现的系统原型。     

商业 MIS的开发及应用

详细地分析了大中型批发商业业务的特征、内部业务处理过程。在此基础上，建立了主要业务数据模型。在Client／Server结构下，服务器端选用NT和OracleWebServer，数据库采用Oracle7．3，客户端用PowetlBuildei6．5等开发工具设计实现。为大中型批发商业快速实现MIS建设提供了原形。     

路段平均行程时间估计方法

为了有效利用线圈检测数据, 精确估计路段平均行程时间, 提出了一种路段平均行程时间估计方法。将路段平均行程时间分为平均行驶时间、平均排队时间和平均通过路口时间三部分。考虑线圈埋设的特点, 通过估计平均行驶速度得到平均行驶时间。用分段时齐Poisson过程描述车辆驶入路段过程和驶离过程, 用Markov排队模型描述车辆排队过程, 用生灭过程描述排队车辆数, 得到车辆排队模型, 计算了路段有、无初始排队的平均排队时间。基于选取与路口相关的饱和流率和平均车长, 计算了平均通过路口时间。计算结果表明: 平均行程时间估计值与实测值的误差小于12%, 说明路段平均行程时间估计方法可行。     

Scheduled paratransit transport systems

In this paper we focus on ways to provide individualized services to people with mobility challenges using existing modes of public transport. We study the design of an interesting case, in which a bus operating in a public transport route may diverge from its nominal path to pick-up passengers with limited mobility and drop them off at their destination. We have modeled the design problem by a mixed integer-linear program, and we developed an exact Branch and Price approach to solve it to optimality. The proposed approach includes a labeling algorithm in which we introduced appropriate dominance rules, which do not compromise optimality. We have compared the efficiency of our approach with that of related algorithms from the literature. Furthermore, we have used the proposed approach to study key aspects of the system design problem, such as the effect of various constraints on the service level, and the tuning of the system’s parameters to address different transport environments.