Efficient spatial data management for enabling true ride-sharing

该数据管理项目旨在研究拼车作为一个复杂决策系统的模型，该模型可以优化以提供更好的结果。流行的拼车应用已经迅速演变为拼车服务，相当于用手机叫出租车。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在兴趣点上达成一致，而不是直接向他人寻求前往既定目的地的旅行，从而建立激励机制。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类似出租车的乘车共享服务提升到真正的乘车共享安排。预计这将带来诸如减少交通和排放，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.