重庆港集装箱码头三维模拟系统设计

以重庆港集装箱码头为实例,利用虚拟现实的方法和技术,混合使用Auto CAD、3Ds MAX、Photoshop、Premiere的技术集成,开发出了集装箱码头的三维可视化仿真系统.介绍了系统的设计方法,系统的构成和工作流程,并对系统中用到的关键技术进行了分析研究,系统虚拟的动画模拟可以为集装箱码头的运营管理提供决策依...     

A-SMGCS机场场面运行控制的Petri网建模

以基本网模型为基础,阐述典型运行单元精细化模块构建方法与替代规则,生成场面精细化模型.采用航空器后续滑行路径对托肯进行着色以完成航空器建模,并给出精细化模型与航空器模型集成的方法,实现场面资源的动态竞争建模.以首都机场部分场面运行控制过程建模为例,验证所提建模方法的有效性和适用性.     

Forecasting travel behavior using Markov Chains-based approaches

Recent advances in agent-based micro-simulation modeling have further highlighted the importance of a thorough full synthetic population procedure for guaranteeing the correct characterization of real-world populations and underlying travel demands. In this regard, we propose an integrated approach including Markov Chain Monte Carlo (MCMC) simulation and profiling-based methods to capture the behavioral complexity and the great heterogeneity of agents of the true population through representative micro-samples. The population synthesis method is capable of building the joint distribution of a given population with its corresponding marginal distributions using either full or partial conditional probabilities or both of them simultaneously. In particular, the estimation of socio-demographic or transport-related variables and the characterization of daily activity-travel patterns are included within the framework. The fully probabilistic structure based on Markov Chains characterizing this framework makes it innovative compared to standard activity-based models. Moreover, data stemming from the 2010 Belgian Household Daily Travel Survey (BELDAM) are used to calibrate the modeling framework. We illustrate that this framework effectively captures the behavioral heterogeneity of travelers. Furthermore, we demonstrate that the proposed framework is adequately adapted to meeting the demand for large-scale micro-simulation scenarios of transportation and urban systems.     

A bi-objective optimization framework for three-dimensional road alignment design

Optimization of three-dimensional road alignments is a nonlinear non-convex optimization problem. The development of models that fully optimize a three-dimensional road alignment problem is challenging due to numerous factors involved and complexities in the geometric specification of the alignment. In this study, we developed a novel bi-objective optimization approach to solve a three dimensional road alignment problem where the horizontal and vertical alignments are optimized simultaneously. Two conflicting cost objective functions, earthwork cost and the utility cost, are cast in a bi-objective optimization problem. We numerically compare several multi-objective optimization solvers, and find that it is possible to determine the Pareto front in a reasonable time.     

基于BIM的山岭隧道施工信息化管理系统研发与应用

隧道施工现场采集的结构、地质、施工信息碎片化严重，缺乏统一组织手段，分析利用难度大，隧道动态设计与信息化施工水平有待提高。为支撑隧道工程施工信息化，对施工数据进行标准化定义，开发数据标准化工具，以支撑施工期异构数据统一组织应用。针对BIM技术在设计与施工中难以落地、工程数据难以集成的问题，研究多尺度BIM模型建立方法，并以里程为索引，集成地质、进度、设计方案等信息，实现施工数据统一管理与可视化。基于动态更新的施工现场数据与轻量化BIM模型，建立以集成信息模型为核心，桌面端、网页端与移动端应用综合服务的施工信息化管理系统，提供全面施工决策信息，动态评估施工风险，保障工程效率与安全。经云南老营特长公路隧道工程实践验证，本系统基本满足信息化管理需求，对隧道工程信息化管理及BIM技术的工程应用具有借鉴意义。     

Modeling the relationships among urban passenger travel carbon dioxide emissions,transportation demand and supply,population density,and proxy policy variables

To support the development of policies that reduce greenhouse gas (GHG) emissions by encouraging reduced travel and increased use of efficient transportation modes, it is necessary to better understand the explanatory effects that transportation, population density, and policy variables have on passenger travel related CO₂ emissions. This study presents the development of a model of CO₂ emissions per capita as a function of various explanatory variables using data on 146 urbanized areas in the United States. The model takes into account selectivity bias resulting from the fact that adopting policies aimed at reducing emissions in an urbanized area may be partly driven by the presence of environmental concerns in that area. The results indicate that population density, transit share, freeway lane-miles per capita, private vehicle occupancy, and average travel time have a statistically significant explanatory effect on passenger travel related CO₂ emissions. In addition, the presence of automobile emissions inspection programs, which serves as a proxy indicator of other policies addressing environmental concerns and which could influence travelers in making environmentally favorable travel choices, markedly changes the manner in which transportation variables explain CO₂ emission levels.     

Mathematical properties and constraints representation for bottom-up approaches to the evaluation of GHG mitigation policies

Bottom-up models, including MARKAL, MESSAGE and AIM, are widely used when analyzing the effect of greenhouse gas (GHG) abatement policies. These bottom-up models are mostly formulated as a linear programming (LP) optimization model to find both the minimal cost combination of abatement technologies and energy flows while satisfying demands. It is not unusual that the bottom-up modeling involves a great number of technical, industrial, socioeconomic and environmental constraints. Investigating representative constraints needed for analyzing GHG abatement policies, this study proposes how to implement these constraints in bottom-up modeling.     

Dynamic demand estimation and microscopic traffic simulation of a university campus transportation network

Abstract

This article documents the authors' experience with the modeling, simulation, and analysis of a university transportation system, using the TRansportation ANalysis and SIMulation System (TRANSIMS). The processes of data preparation and network coding are described, followed by the algorithm developed to estimate the dynamic 24-hour demand, which includes a procedure for estimating the ‘desirability’ of the different parking lots from readily available data. The dynamic demand estimation algorithm is validated by comparing estimated and observed parking lot occupancies, where it is shown that the algorithm is capable of replicating observed results. Finally, an example is included to demonstrate how the developed model can be used in campus transportation planning. Besides serving as a first case study for using TRANSIMS to model a university campus, the study's contributions include the development of a procedure for parking lot desirability ranking and a practical procedure for estimating dynamic demand on university campuses.     

Personalized real-time traffic information provision: Agent-based optimization model and solution framework

The advancement of information and communication technology allows the use of more sophisticated information provision strategies for real-time congested traffic management in a congested network. This paper proposes an agent-based optimization modeling framework to provide personalized traffic information for heterogeneous travelers. Based on a space–time network, a time-dependent link flow based integer programming model is first formulated to optimize various information strategies, including elements of where and when to provide the information, to whom the information is given, and what alternative route information should be suggested. The analytical model can be solved efficiently using off-the-shelf commercial solvers for small-scale network. A Lagrangian Relaxation-based heuristic solution approach is developed for medium to large networks via the use of a mesoscopic dynamic traffic simulator.     

基于BIM的三维铁路路基建模应用研究

为推进铁路工程建设信息化发展,铁路设计行业大力推进BIM技术研究。通过对现阶段铁路站前专业BIM技术应用实例和路基二维辅助设计方法的广泛调研,提出一种基于运用自主研发的三维铁路路基辅助设计软件的建模方法,结合川藏线拉林段路基区间,完成建模流程和设计成果的展示。实践表明,三维设计有助于设计人员更为全面直观了解实际工程结构,新增可视化效果,提高设计精确性,为铁路路基设计行业带来新的设计理念和运用基础。