地铁曲线车站站台建筑限界计算研讨

对地铁地下曲线车站站台建筑限界计算,特别是地下曲线车站站台边缘至车辆轮廓线间允许间隔的检算方法,以及困难条件下站台边缘曲线半径和线路平面曲线半径设计问题进行研讨,并提出在困难条件下,曲线车站站台边缘曲线按与线路曲线同心圆设计,可采用较小的线路曲线半径,以节省工程投资的建议.     

城市轨道交通车辆基地站场勘测内容和方法研究

车辆基地是城市轨道交通系统的重要组成部分,针对目前车辆基地勘测设计过程中普遍重设计轻勘测、缺乏系统的站场勘测内容与方法的现状,通过对行业、企业相关勘测规范的理解和归纳,结合自己勘测设计实践,系统论述车辆基地站场勘测内容和方法,主要包括车辆基地基线的测设和应用、地形测量、站场横断面测绘、专项调查与测绘等几方面,掌握车辆基地站场勘测内容和方法将为车辆基地设计与施工、节约用地、降低投资等方面发挥重要的作用。     

站场信息化管理解决方案

目前公路货运站场管理模式低下,科技含量甚少,企业再发展前景渺茫,必须依靠新的高科技手段,采用信息化管理方案,以新的经营理念,打造出可持续发展的交通站场企业模式来。     

Development of railway station choice models to improve the representation of station catchments in rail demand models

ABSTRACT

This paper describes the development of railway station choice models suitable for defining probabilistic station catchments. These catchments can then be incorporated into the aggregate demand models typically used to forecast demand for new rail stations. Revealed preference passenger survey data obtained from the Welsh and Scottish Governments was used for model calibration. Techniques were developed to identify trip origins and destinations from incomplete address information and to automatically validate reported trips. A bespoke trip planner was used to derive mode-specific station access variables and train leg measures. The results from a number of multinomial logit and random parameter (mixed) logit models are presented and their predictive performance assessed. The models were found to have substantially superior predictive accuracy compared to the base model (which assumes the nearest station has a probability of one), indicating that their incorporation into passenger demand forecasting methods has the potential to significantly improve model predictive performance.     

免棱镜全站仪在旧桥几何尺寸测量中的应用

文章介绍了采用免棱镜全站仪进行旧桥几何尺寸测量的主要内容、优点、测点布置情况及方法,并结合具体工程实例,探讨了免棱镜全站仪的使用效果。     

铁路隧道污水处理站规模研究

为解决铁路隧道在施工期污水排放对环境敏感区环境的影响,必须设置隧道污水处理站。通过现场调研多个项目实际发生的隧道污水处理站建设情况,分析研究后提出如下结论： 1）铁路隧道在施工期可实现清水、污水分流以达到减少污水排放量、控制隧道污水处理站建设规模的目的。2）在考虑隧道施工期生产污水、清水分流的工程措施和隧道衬砌、注浆堵水等工程措施对涌水的削减作用的基础上,区分不同地质情况分段确定洞身单位长度正常涌水量乘以施工未衬砌段长度及涌水变化系数的积来确定隧道污水处理站的污水处理规模。3）与隧道污水处理站设计思路配套,建议在现行概（预）算编制办法规定计费范围的基础上,将清水、污水分流的工程措施费用,污水处理站设备的安拆及摊销费用,污水处理站的运营及维护费用纳入概算。     

市政排水系统厂站网一体化调度应用

随着城市化进程的加速,城市排水系统的运行面临着越来越大的挑战。传统的排水系统管理模式存在调度决策支撑不足、效率较低等问题,无法满足现代排水系统精细化管理的需求。探索排水系统厂站网一体化调度模式,对于提高排水系统实际运行效率和管理水平具有重要意义。对上海市某片区市政排水系统厂站网一体化调度应用进行研究,搭建厂站网一体化调度平台,集成排水设施基础数据、物联感知监测数据以及水雨情气象数据数据库,以污水管网干线模型为计算引擎,实现排水运行日常监管、一体化调度支持实际应用等功能,为排水系统高效平稳运行提供支撑。     

邻近既有污水管道新建接驳井与原管封堵技术研究

以某车站基坑范围内存在一大直径污水管道为背景,研究横跨基坑污水管道改迁技术。现状工作井内不具备潜水作业条件,且无法实施临排,其接驳施工难度极大,常规的迁改技术不能满足现场需求。经研究,通过采用在现状污水管道工作井旁新建工作井、在新建污水管道内设置临时闸板、合理选择上下游洞门破除时机及破除方式、现状污水工作井内安装临时闸板等方法,顺利完成了污水管道改迁中新管接驳与原管道封堵施工,综合效益显著。同时,也可为类似工程施工提供参考。     

轨道交通车站节能检测判定坐标系研究与应用

从轨道交通车站项目设计、技术要求、检测参数、检测方法及结果判定的角度,文章阐述了轨道交通车站系统节能检测的主要内容和检测方法。为了快速方便地判定检测结果,提出了检测结果坐标系的二维可视化评判方法,并给出了合格判定的点集数学表达式。以某车站系统节能性能检测项目为案例,运用检测结果判定坐标系法对主要参数包括室内温度、风系统总风量与风口风量、水系统水流量、平均照度与照明功率密度等进行了检测结果分析,实现了节能检测结果的快速和二维可视化判定。     

Shared autonomous electric vehicle (SAEV) operations across the Austin,Texas network with charging infrastructure decisions

Shared autonomous vehicles, or SAVs, have attracted significant public and private interest because of their opportunity to simplify vehicle access, avoid parking costs, reduce fleet size, and, ultimately, save many travelers time and money. One way to extend these benefits is through an electric vehicle (EV) fleet. EVs are especially suited for this heavy usage due to their lower energy costs and reduced maintenance needs. As the price of EV batteries continues to fall, charging facilities become more convenient, and renewable energy sources grow in market share, EVs will become more economically and environmentally competitive with conventionally fueled vehicles. EVs are limited by their distance range and charge times, so these are important factors when considering operations of a large, electric SAV (SAEV) fleet.This study simulated performance characteristics of SAEV fleets serving travelers across the Austin, Texas 6-county region. The simulation works in sync with the agent-based simulator MATSim, with SAEV modeling as a new mode. Charging stations are placed, as needed, to serve all trips requested (under 75 km or 47 miles in length) over 30 days of initial model runs. Simulation of distinctive fleet sizes requiring different charge times and exhibiting different ranges, suggests that the number of station locations depends almost wholly on vehicle range. Reducing charge times does lower fleet response times (to trip requests), but increasing fleet size improves response times the most. Increasing range above 175 km (109 miles) does not appear to improve response times for this region and trips originating in the urban core are served the quickest. Unoccupied travel accounted for 19.6% of SAEV mileage on average, with driving to charging stations accounting for 31.5% of this empty-vehicle mileage. This study found that there appears to be a limit on how much response time can be improved through decreasing charge times or increasing vehicle range.