Congestion management in key road networks of a major city through real time data collection, intelligent forecasting and real time routing

通过实时数据采集、智能预测和实时路由，对大城市重点路网进行拥堵管理

• 批准号: LP0990610
• 负责人: Prof Tharam Dillon
• 金额: $ 22.06万
• 依托单位: La Trobe University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2009
• 资助国家: 澳大利亚
• 起止时间: 2009-08-17 至 2017-08-04
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0990610
• 关键词: Congestion; management; key; road; networks

The project researches the issues for allowing Australian Road Traffic Authorities to automatically capture road traffic data, forecast traffic flows and smartly route traffic flows to avoid congestion on road networks. This will lead to several benefits, such as (a) reducing traffic congestion, shorten travel time and lower pollution, (b) better utilization of existing road infrastructure by diffusing traffic to alternate routes, (c) provide economic benefit by allowing one to delay infrastructure expansion, (d) monitoring of aberrant behaviour by road users to ensure a safer road environment, and (e) improved flexibility in deployment of the Wireless Sensor Network to meet the needs of the road authorities and community.

该项目研究了允许澳大利亚道路交通管理局自动捕获道路交通数据，预测交通流量和智能路线交通流量以避免道路网络拥堵的问题。这将带来多项好处，例如：(a)减少交通挤塞、缩短行车时间及减少污染；(b)将交通分流至其他路线，以善用现有道路基础设施；(c)可延后扩建基础设施，以提供经济效益；(d)监察道路使用者的异常行为，以确保道路环境更安全；(e)提高无线传感器网络部署的灵活性，以满足道路当局和社区的需要。