数字地下空间与工程的空间分析与知识发现

建立完善的空间数据分析理论和方法体系,集成先进的空间数据分析工具,增强数字地下空间与工程的空间分析能力,使数据型数字地下空间与工程上升为分析型信息系统,是数字地下空间与工程技术与应用的发展目标和趋势。首先论述数字地下空间与工程特有的空间分析功能,如三维图形剖切、实体切割、管线碰撞分析、三维最小距离、对象属性查询等;然后论述数据分析领域迅速发展的新技术——数据挖掘与知识发现。     

A time-dependent freight tour synthesis model

This paper introduces a model of urban freight demand that seeks to estimate tour flows from secondary data sources e.g., traffic counts, to bypass the need for expensive surveys. The model discussed in this paper, referred as Freight Tour Synthesis (FTS), enhances current techniques by incorporating the time-dependent tour-based behavior of freight vehicles, and the decision maker’s (e.g., metropolitan planning agency planner) preferences for different sources of information. The model, based on entropy maximization theory, estimates the most likely set of tour flows, given a set of freight trip generation estimates, a set of traffic counts per time interval, and total freight transportation cost in the network. The type of inputs used allows the assessment of changes in infrastructure, policy and land use. The ability of the model to replicate actual values is assessed using the Denver Region (CO) as a case study.     

基于细-宏观数据交互的桥梁水毁数值仿真

为精细化探究桥梁水毁倒塌机理，基于计算流体力学与泥沙动力学数值仿真，得到桥梁冲刷形态演变与波流力时程数据，构建桥梁水毁全过程的连续倒塌数值模型；通过开发细-宏观数据交互接口，将冲刷所致边界条件改变与波流力对桥梁结构作用效应实时传递至结构域桥梁连续倒塌数值模型，高精度连续仿真冲刷发展与波流力作用下桥梁水毁全程力学响应与结构形态演化；最后，通过河源东江大桥倒塌案例分析，验证该仿真方法与数据交互接口的正确性和有效性。结果表明：河源东江大桥连续倒塌可能由冲刷掏空基础后倾斜、拱脚薄弱节点失效以及非制动墩承受不平衡水平推力所致；所提出的仿真方法可实现冲刷仿真、波流力计算与结构倒塌分析的同步交互实施，可为从水文源头探究桥梁水毁失效机理与倒塌模式提供精准高效的分析工具，为桥梁抗水设计、评估以及未来规范修订提供理论基础与技术手段。     

Implausible OECD motor vehicle travel data

To assess the fuel efficiency of motor vehicles in a given country, an estimate of kilometers traveled is required. Examination of kilometers per liter among countries contributing data to OECD revealed implausible results for several. Also kilometers per vehicle were anomalous. The kilometers per vehicle based on a stratified random sample of U.S. travel varied substantially from the numbers reported by OECD during 2000–2014. OECD motor vehicle travel data are unusable.     

某钢管混凝土拱桥加固与分析

结合工程实例,分析了某钢管混凝土拱桥加固改造后的受力状态。分析表明,该桥经加固后,受力状态虽满足规范要求,但是安全储备富余不足,应引起重视。同时,在静力分析的基础上,还分析了该桥梁的稳定性和动力特性。分析结果表明,桥梁的整体稳定性较好。     

考虑能源类型的城市出租车运营效率评价研究

以分析西安市燃气型、电动型及甲醇型3种能源类型出租车在运营中的既有期望运营投入和非期望运营投入，既有期望产出和非期望产出为基础，本文构建基于DEA-Malmquist的考虑能源类型的出租车运营效率评价模型。从西安市出租车管理处提取西安市 2020 年 9~12 月期间 14946辆出租车的GPS轨迹数据，并随机选取1000辆甲醇型出租车、1000 辆电动型出租车及 1000辆燃气型出租车作为样本进行实例分析。通过处理3000辆出租车GPS数据，得到乘客在工作日和双休日不同时段的出行需求和特征，分析3种不同能源类型出租车的运营效率差异。所得结论可为西安政府部门对不同能源类型出租车的管理运营提供决策支持。     

Analysis of yellow-light running at signalized intersections using high-resolution traffic data

Many accidents occurring at signalized intersections are closely related to drivers’ decisions of running through intersections during yellow light, i.e., yellow-light running (YLR). Therefore it is important to understand the relationships between YLR and the factors which contribute to drivers’ decision of YLR. This requires collecting a large amount of YLR cases. However, existing data collection method, which mainly relies on video cameras, has difficulties to collect a large amount of YLR data. In this research, we propose a method to study drivers’ YLR behaviors using high-resolution event-based data from signal control systems. We used 8 months’ high-resolution data collected by two stop-bar detectors at a signalized intersection located in Minnesota and identified over 30,000 YLR cases. To identify the possible reasons for drivers’ decision of YLR, this research further categorized the YLR cases into four types: “in should-go zone”, “in should-stop zone”, “in dilemma zone”, and “in optional zone” according to the driver’s location when signal turns to yellow. Statistical analysis indicates that the mean values of approaching speed and acceleration rate are significantly different for different types of YLR. We also show that there were about 10% of YLR drivers who cannot run through intersection before traffic light turns to red. Furthermore, based on a strong correlation between hourly traffic volume and number of YLR events, this research developed a regression model that can be used to predict the number of YLR events based on hourly flow rate. This research also showed that snowing weather conditions cause more YLR events.     

Transportation habits: Evidence from time diary data

The interdisciplinary Time Use Observatory workshops learned that transportation research and social sciences strive for the same multi-day time-diary data in order to make interferences about human habitual (travel) behavior. It also is learned that when it comes to the mathematics and analytics involved both disciplines are miles apart, though both with founded reasons to do so. In brief, transportation research relies on modeling to make predictions whereas social sciences apply statistics to their data to draw conclusions. In line with the interdisciplinary philosophy of the Time Use Observatory workshops, this contribution aims to communicate 30 years of experience in analyzing time-diary data. To do so, it demonstrates the latter by calculation transportation habits and aims to illustrate that multi-day time-diary data might have some additional benefits for computing temporal regularities. It shows that including a flexible notion of both regular tempo (or recurrence) of activities (e.g. every day) and regular timing of activities (e.g. always at 6 am) produces different results for different kind of transportation purposes. It also shows that these calculations using multi-day time-diary data result in an indicator at the individual level that can be analyzed in terms of socio-demographic and socio-economic characteristics. This work concludes that partitioning temporal regularities in regular reoccurrence and regular timing is a crucial element of (transportation) habits.     

城市轨道交通站点数据链客流预测方法研究

城市轨道交通客流预测数据是城市轨道交通设计与运营的重要依据与基础,在总结分析我国城市轨道交通客流预测经验及研究成果的基础上,提出基于城市土地利用法的站点数据链客流预测方法,系统介绍该预测方法的理论体系,并以杭州地铁4号线为例,验证站点数据链客流预测方法的科学性与合理性,以期使该预测方法在客流预测与校核中具有指导意义。