Efficient spatial data management for enabling true ride-sharing

高效的空间数据管理，实现真正的乘车共享

• 批准号: DP180103332
• 负责人: Prof Egemen Tanin
• 金额: $ 36.3万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-04-17 至 2023-11-21
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP180103332
• 关键词: Efficient; spatial; data; management; enabling

This data management project aims to examine ride-sharing as a model of a complex decision system that can be optimised to deliver better outcomes. Popular ride-sharing apps have quickly evolved into ride-sourcing services that are comparable to calling a taxi on a mobile phone. Such arrangements miss many of the key benefits of true ride-sharing for the society. The project will model incentives by helping people agree on points of interest rather than directly seeking trips from others to set destinations. It also aims to introduce privacy-aware dynamic matching of sharers, and expand to transportation at large, to generate new shared transportation services. The expected outcome of this project is to elevate today's taxi-like ride-sharing services to true ride-sharing arrangements. This is expected to provide benefits such as reduced traffic and emissions, as well as addressing parking issues and other traffic problems.

这个数据管理项目旨在将拼车作为一个复杂决策系统的模型进行研究，该模型可以进行优化以提供更好的结果。流行的拼车应用程序已迅速发展成为拼车服务，其功能堪比用移动的手机叫出租车。这样的安排错过了真正的拼车对社会的许多关键好处。该项目将通过帮助人们就兴趣点达成一致，而不是直接从其他人那里寻求旅行来设定目的地，来建立激励机制。它还旨在引入共享者的隐私感知动态匹配，并扩展到整个交通，以产生新的共享交通服务。该项目的预期成果是将今天类似出租车的共乘服务提升为真正的共乘安排。预计这将带来减少交通和排放等好处，并解决停车问题和其他交通问题。