课题基金 / 基金详情

Adaptive Stochastic Dynamic Traffic Assignment

Adaptive Stochastic Dynamic Traffic Assignment
自适应随机动态流量分配
批准号:
DP150104687
负责人:
Prof Steven Waller
金额:
$18.99万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2015
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2015-06-30 至 2018-12-31

项目摘要

项目成果

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中文摘要
翻译
本项目旨在解决动态交通网络建模在规划过程中的一些限制,特别是与交通不确定性、驾驶员适应性和信息提供有关的限制。以前的进展促进了所提出的方法的引入;新的网络路由算法,其考虑了许多日益重要的问题特征,例如驾驶员对实时信息和不确定性的路线选择响应;用于随机动态交通分配问题的新公式,其将新的路由算法用作子问题;以及用于相关的双层优化交通应用的新方法,例如网络设计和事件管理。
英文摘要
This project aims to address some of the limitations of dynamic transport network modelling in the planning process particularly related to traffic uncertainty, driver adaptivity and information-provision. Previous advances facilitate the proposed methods to introduce; new network routing algorithms that account for numerous increasingly important problem characteristics such as driver route-choice response to real-time information and uncertainty; new formulations for the stochastic dynamic traffic assignment problem which employ the novel routing algorithms as sub-problems; and new methods for relevant bi-level optimisation transport applications such as network design and incident management.
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Incentivised strategic traffic assignment: bi-level transport optimisation
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Travel Choice Simulation Laboratory (TRACSLab): a visualisation laboratory to study travel behaviour and drivers’ interactions
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国内基金
海外基金
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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    --
  • 项目类别:
    --
  • 资助金额:
    40万元
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    2020
  • 负责人:
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  • 依托单位:
基于梯度增强Stochastic Co-Kriging的CFD非嵌入式不确定性量化方法研究