新三汊河大桥桩基静载试验研究

介绍了自平衡法测试桩基承载力在南京新三汊河大桥中的应用，探讨了这种方法用于水中桥梁工程桩基础的优势。     

内燃机泄放失效机油存在的问题及解决方法

指出了内燃机油底壳上放油螺丝在使用中存在的问题 ,分析由此而引起的后果 ,提出了排放失效机油过程中所需达到的要求 ,介绍了内燃机机油专用放油阀门     

智能运输系统建设机制分析

本文在分析智能运输系统建设特点和主体关系的基础上 ,分别从政府部门之间、政府和企业之间等角度论述了智能运输系统建设的策略及运行机制。     

大数据时代天津智慧城市智能交通建设与道路交通发展展望

通过对天津市交通强国建设、京津冀交通一体化及第三届世界智能大会的介绍,从交通运输管理系统、出行服务系统、电子付费系统和交通监控指挥系统智能化升级等方面阐述了天津市逐步进入智能交通应用阶段的情况。在此基础上,论述了5G时代,在“创新、协调、绿色、开放、共享”五大发展理念的引领下,城市道路在道路横断面布置、自行车道设置、共享单车停车点布设、步行交通系统多样化等方面创新设计的思路,展望了在未来万物互联的智能世界中,低碳生态城市和以公共交通为主导的城市综合交通系统的发展前景。     

中国智能网联汽车测试示范区发展调查研究

围绕测试场地建设、基础设施、测试能力、服务配套等方面,综合分析国内测试示范区发展现状及水平,归纳其面临的突出和共性问题。在此基础上,提出了加强测试示范区统筹协调、加快标准制定、推进测试结果互认和数据共享、建立交流沟通机制等措施和建议。     

全国铁路地理信息系统应用服务共享平台的研究

应用服务共享平台为一个三层服务体系结构,主要提供五种服务：数据提供、数据分析、数据表现、元数据以及应用集成服务。平台功能的设计主要依据表示逻辑与处理逻辑相分离、通用功能与专用功能相分离两个基本原则。平台的核心是一个包括基础服务层和应用构件层的二层体系结构。平台的关键技术是多层服务体系结构、分布式海量空间数据存取、智能空间分析与数据挖掘技术以及基于XML的元数据技术。     

低交通量下“与车随行”隧道照明节能控制技术应用研究

针对公路隧道照明安全与节能之间的矛盾，特别是低交通量下“无车照明”的能耗浪费现象，采用微波车检实时探测交通流技术，提出一种在低交通量下实施“车来灯亮、车走灯暗”的“与车随行”智能控制技术。根据安全视距和人眼视觉反应驰豫时间要求，确定该控制技术下“车来灯亮”以及无来车时“车走灯暗”亮度水平和间隔时间规定。由该技术制定的应用方案用于实际工程，不仅可保证隧道照明安全性，更可在现有规范基础上进一步降低隧道照明能耗，实现低交通量下实时动态的智慧节能照明控制。根据实际工程照明效果测试，所采用的方案可降低隧道照明年运营费用达72%。该技术对提升隧道照明安全和节能水平，推动隧道提质升级和公路交通绿色低碳水平具有积极的促进作用。     

Elasticities for taxicab fares and service availability

This study utilizes a unique dataset from New York City to examine the effects of taxi fare increases on trip demand and the availability of taxi service. The elasticity of trip demand with respect to fares is estimated to be –0.22; the elasticity of service availability with respect to the taxi fare is 0.28; and the elasticity of service availability with respect to total supply of service is near 1.0. These results have important implications for taxi regulatory decisions. First, fare increases do substantially increase industry revenues but at a lesser rate than the percentage increase in the fare. The implication for policy-makers is that fare elasticities must be carefully considered to obtain desired improvements in drivers' earnings. Second, service availability -- an important aspect of service quality that is generally overlooked during fare policy debates -- should be a central consideration in fare setting, given the considerable impact of fares on availability. Finally, where the supply of cabs needs to be expanded, the number of cabs can be significantly increased without harming the revenue stream of existing operators. This finding alleviates a major industry objection to issuing additional taxicab licenses.     

Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design,demonstration and validation

Estimation/updating of Origin–Destination (OD) flows and other traffic state parameters is a classical, widely adopted procedure in transport engineering, both in off-line and in on-line contexts. Notwithstanding numerous approaches proposed in the literature, there is still room for considerable improvements, also leveraging the unprecedented opportunity offered by information and communication technologies and big data. A key issue relates to the unobservability of OD flows in real networks – except from closed highway systems – thus leading to inherent difficulties in measuring performance of OD flows estimation/updating methods and algorithms. Starting from these premises, the paper proposes a common evaluation and benchmarking framework, providing a synthetic test bed, which enables implementation and comparison of OD estimation/updating algorithms and methodologies under “standardized” conditions. The framework, implemented in a platform available to interested parties upon request, has been flexibly designed and allows comparing a variety of approaches under various settings and conditions. Specifically, the structure and the key features of the framework are presented, along with a detailed experimental design for the application of different dynamic OD flow estimation algorithms. By way of example, applications to both off-line/planning and on-line algorithms are presented, together with a demonstration of the extensibility of the presented framework to accommodate additional data sources.