FREEFLOW

FREEFLOW旨在从根本上改变我们使用交通数据的方式，通过使用它来生成交通智能。目前，我们正在收集更多（更好）关于我们的交通网络的数据，例如旅行时间和公交车的位置。我们以不同的方式处理数据，然后将其提供给用户/个人旅行者和服务供应商以及网络运营商和旅行信息提供商。但我们目前处理数据的技术还不足以帮助我们积极管理交通。相反，我们往往只是对网络问题做出反应。公众和负责网络的人都希望获得新的智能，以帮助他们做出更好的决策--司机们不想被告知排队的情况，而是想知道如何避免排队，网络管理人员想知道为什么会有排队，以及如何减少排队。这是一个挑战，即使今天的数据量相对较小。但很快就会有许多新的数据来源，因此在我们被数据淹没之前，有一个明确的机会来积极填补市场空白。这是一个全球性的问题，因此英国有很大的潜力可以利用。这不仅仅是一个交通问题/军方已经对他们的数据所暗示的情况有了敏锐的认识，并从中做出关键决策。因此，FREEFLOW将更好的服务与外部交通创新的交通政策要求融合在一起，为城市地区提供交通情报。我们希望提供用户真正想要使用的服务，从而大大改善他们的旅行方式，而不仅仅是做一些小的改变。我们将寻找新的数据来源，例如来自CCTV的数据，以帮助服务发展。我们的目标是研究如何使用智能决策支持，以提供市场准备的产品。这些将带来改善安全、减少拥堵和保护环境的政策成果，并衡量我们通过在约克和伦敦的示范所做出的改变。我们的目标是做出显著的改变，刺激全球市场，让旅行者的生活更轻松。因此，我们的愿景是：通过将数据转化为智能，改善交通用户的决策和绩效

FREEFLOW aims to fundamentally change how we use transport data, by using it to generate transport intelligence. Currently we are collecting more (and better) data about our transport networks, such as journey times and the location of buses. We process data in different ways and then supply it to users / individual travellers and service suppliers as well as network operators and travel information providers. But our present techniques for handling data are not good enough to help us actively manage transport. Instead, we often just react to network problems. Both the public and those responsible for networks want new intelligence to help them make better decisions - instead of being told about a queue, drivers want to know how to avoid it and network managers want to know why it is there and how to reduce it. This is a challenge, even with the relatively small data volume today. But soon there will be many new sources of data and so there is a clear opportunity to actively fill a market gap, before we are overwhelmed with data. This is a global problem, so has great potential for the UK to exploit. And this is not just a transport problem / the military already have sharp awareness of situations their data implies and make critical decisions from it. FREEFLOW therefore fuses transport policy requirements of better services with innovation from outside transport, to generate transport intelligence for urban areas. We want to deliver services that users will really want to use and so dramatically improve how they travel / no just make small changes. We will look for new sources of data, such as from CCTV, to help services evolve. We aim to research how to use intelligent decision support to deliver market ready products. These will deliver policy outcomes of improved safety, reduced congestion and safeguarding the environment, and measure the changes we make through demonstrations in York and London. We aim to make a noticeable change that will stimulate a global market and make life easier for travellers too. Hence our vision is to deliver: Improving transport user decisions and performance, by turning data into intelligence