Introduction: Habitual travel choice

In this introduction to the special issue on habitual travel choice, we provide a brief account of the role of habit in travel behaviour, discuss more generally what habitual choice is, and briefly review the issues addressed in the solicited papers. These issues include how habitual travel behaviour should be measured, how to model the learning process that makes travel choice habitual, and how to break and replace car-use habits.     

GIS技术在公路建设管理中的应用研究

针对公路建设的发展以及工程项目管理发展的要求,介绍了道路CAD技术、地理信息系统(GIS)技术、数据库技术、网络技术在公路建设项目管理过程中的应用以及如何借助GIS的图形处理功能、信息表现及其空间分析功能对公路建设过程中的各工程实体的工程信息、计划进度、质量监理、费用管理等进行可视化表现和分析,规范和方便建设项目的科学管理,从而为公路建设的管理者和决策者提供直观、可靠、及时和有效的管理手段,便于作出相应的决策。     

大跨径混凝土桥梁施工挠度监测数据采集的自动化方案

针对大跨径预应力混凝土桥梁施工挠度监测中数据采集工作量大的特点。提出了利用PC-E500电子记簿采集外业数据。利用Delphi语言编程将数据导入Excel表格并从Excel表格中提取数据的自动化方案。     

Bus Priority Using pre-signals

The need to provide efficient public transport services in urban areas has led to the implementation of bus priority measures in many congested cities. Much interest has recently centred on priority at signal controlled junctions, including the concept of pre-signals, where traffic signals are installed at or near the end of a with-flow bus lane to provide buses with priority access to the downstream junction. Although a number of pre-signals have now been installed in the U.K., particularly in London, there has been very little published research into their design, operation and optimisation. This paper addresses these points through the development of analytical procedures which allow pre-implementation evaluation of specific categories of pre-signals. The paper initially sets out three categories of pre-signal, which have different operating characteristics, different requirements for signalling and different impacts on capacity and delay. Key issues concerning signalling arrangements for these categories are then discussed, together with a summary of the analytical approach adopted and the assumptions required. Equations are developed to allow appropriate signal timings to be calculated for pre-signalised intersections. Further equations are then developed to enable delays to priority and non-priority traffic, with and without pre-signals, to be estimated with delay being taken here as the key performance criterion. The paper concludes with three application examples illustrating how the equations are applied and the impacts of pre-signals in different situations.The analyses confirm the potential benefits of pre-signals, where these signals apply to non-priority traffic only. Where buses are also subject to a pre-signal, it is shown that disbenefits to buses can often occur, unless bus detectors are used to gain priority signalling.     

智能压路机控制系统数据通信的实现

介绍了CAN总线及CANopen协议的技术特点,详细阐述了基于CAN总线技术的智能压路机控制系统数据通信的实现,使之达到了智能压路机的设计要求.     

用图像处理技术实现沥青混合料有限元建模

提出了一种基于图像处理技术的沥青混合料二维有限单元分析的几何建模方法.该方法将数字图像处理技术、几何形状向量化原理和有限元网格自动生成技术相结合,得到能够应用于力学计算的有限元模型.用实例验证了该方法的有效性.     

帕萨特B5轿车电路-自动变速器控制系统(Ⅰ)

在帕萨特B5轿车布线图的基础上改画成该车电路原理图——自动变速器控制系统,并介绍该系统的主要功能,自动变速器故障码及其读取方法,自动变速器测量数据块及其读取方法。     

汽车离合器盖成形工艺和模具设计

基于对某型号汽车离合器盖的结构工艺性分析，提出了一套合理有效的成形工艺。介绍了拉延成形工序中使用的拉深模模具的设计、结构和工作过程。该模具现已投人生产使用，工作流畅、可靠，制件质量符合要求。     

基于BIM的设计管理

针对BIM技术应用的现状和现阶段国内企业的BIM设计管理工作中存在的问题,探索研究基于BIM设计特点的管理系统。通过构建高效的BIM软件设计工作环境、优化基于BIM设计特点的管理流程、建立设计项目数据框架的方式,达到BIM设计管理系统的高效性和协同性。     

Strava Metro data for bicycle monitoring: a literature review

ABSTRACT

Monitoring bicycle trips is no longer limited to traditional sources, such as travel surveys and counts. Strava, a popular fitness tracker, continuously collects human movement trajectories, and its commercial data service, Strava Metro, has enriched bicycle research opportunities over the last five years. Accrued knowledge from colleagues who have already utilised Strava Metro data can be valuable for those seeking expanded monitoring options. To convey such knowledge, this paper synthesises a data overview, extensive literature review on how the data have been applied to deal with drivers’ bicycle-related issues, and implications for future work. The review results indicate that Strava Metro data have the potential—although finite—to be used to identify various travel patterns, estimate travel demand, analyse route choice, control for exposure in crash models, and assess air pollution exposure. However, several challenges, such as the under-representativeness of the general population, bias towards and away from certain groups, and lack of demographic and trip details at the individual level, prevent researchers from depending entirely on the new data source. Cross-use with other sources and validation of reliability with official data could enhance the potentiality.