Efficient spatial data management for enabling true ride-sharing

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来研究，该决策系统可以进行优化，以提供更好的结果。广受欢迎的拼车应用已迅速演变为叫车服务，类似于用手机叫出租车。这样的安排错过了真正的拼车给社会带来的许多关键好处。该项目将通过帮助人们就兴趣点达成一致来建立激励模型，而不是直接从其他人那里寻找旅行来设定目的地。它还旨在引入具有隐私意识的共享者动态匹配，并扩展到整个交通领域，以产生新的共享交通服务。该项目的预期结果是将今天的出租车类拼车服务提升为真正的拼车安排。预计这将带来减少交通和排放以及解决停车问题和其他交通问题等好处。

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.