Advancing Analytical Query Processing with Urban Trajectory Data

利用城市轨迹数据推进分析查询处理

• 批准号: DP220101434
• 负责人: Prof Zhifeng Bao
• 金额: $ 26.24万
• 依托单位: RMIT University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220101434
• 关键词: Advancing; Analytical; Query; Processing; Urban

This project aims to provide accurate, rapid, and comprehensive information to analyze transport and related infrastructure use in real time. This project expects to develop innovative solutions by exploiting massive urban trajectory data derived from public transport usage, route mapping, GPS tracking and road-side sensors. Expected outcomes include a new algorithmic framework to support complex trajectory-driven analytical tasks in public transport network planning, traffic congestion prevention, and facility deployment. This should significantly benefit both government and industry in data-driven decision makings and evaluations on the impact of decisions made, and ultimately materialize Australian government’s Smart Cities Plan.

该项目旨在提供准确、快速和全面的信息，以便真实的分析交通和相关基础设施的使用情况。该项目预计将通过利用来自公共交通使用、路线测绘、GPS跟踪和路边传感器的大量城市轨迹数据来开发创新解决方案。预期成果包括一个新的算法框架，以支持公共交通网络规划，交通拥堵预防和设施部署中复杂的自动驾驶分析任务。这将使政府和行业在数据驱动的决策和对决策影响的评估方面受益匪浅，并最终实现澳大利亚政府的智慧城市计划。