Novel statistical analysis for traffic modelling

流量建模的新颖统计分析

• 批准号: LP0669500
• 负责人: Prof Anthony Pettitt
• 金额: $ 15.76万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2006
• 资助国家: 澳大利亚
• 起止时间: 2006-07-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0669500
• 关键词: Novel; statistical; analysis; traffic; modelling

This collaborative research with Queensland Main Roads aims to develop and apply novel statistical modelling techniques which improve on the current statistical methods used for transport modelling. The research outcomes will provide a high level of accuracy in terms of predictions for trips leading to better use of expensive survey data. Predictions will be incorporated into transport models. Such model will be used for improving decisions involving multi billion dollar transport infrastructure investment and applied to South East Queensland. The methods can be extended to transport models for other large conurbations in Australia. Outcomes include improved transport systems with economic benefits for business and the community.

这项与昆士兰主要道路的合作研究旨在开发和应用新的统计建模技术，以改进目前用于运输建模的统计方法。研究结果将在行程预测方面提供高度的准确性，从而更好地利用昂贵的调查数据。预测将被纳入运输模型。该模型将用于改善涉及数十亿美元交通基础设施投资的决策，并应用于昆士兰州东南部。这些方法可以推广到澳大利亚其他大城市的交通模型中。结果包括改善运输系统，为企业和社区带来经济效益。