Real-time data-driven insights to drive sustainable travel & bus network resilience post-Covid-19

实时数据驱动的见解，推动可持续旅行

• 批准号: 80111
• 金额: $ 12.09万
• 依托单位: ALCHERA DATA TECHNOLOGIES LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=80111
• 关键词: Real; time; data; driven; insights

Buses running to schedule is a perennial problem faced by transport authorities. Major cities including Cambridge have struggled to gain insights into the root cause of bus delays, in order to better manage and operate wider transport services and encourage more sustainable use of public transport.However, step changes to road usage due to Covid-19, including increased pavement sizes, new cycle routes and changing travel behaviours mean that public transport operation is set to become more challenging than ever.While Covid-19 has temporarily reduced the occupancy of buses across the network, longer-term bus use remains a vital pillar in transport policy. Understanding how the bus network is performing can provide key insights into how it can be improved in an agile and responsive fashion, encouraging higher bus occupancy, and informing policy to getting more cars off the road.One of the underlying impacts of Covid is that it provides a unique opportunity to understand network dynamics as all buses have been operating more smoothly due to lockdown and fewer vehicles on the road. However as the lockdown continues to lift and more vehicles, pedestrians and cyclists return to our roads, pinch points are already beginning to occur again.In this project, Alchera will work closely with the Smart Cambridge programme; an initiative part of the Greater Cambridge Partnership (GCP) a body which includes, Cambridgeshire County Council, Cambridge City Council, South Cambridgeshire District Council and the University of Cambridge and was set up to deliver the Greater Cambridge City Deal.Working closely together with Smart Cambridge, Alchera will develop a fully integrated tool to identify when buses are running out of sync with the expected timetables. These data insights will identify pinch-points in order to inform operational decision making & wider transport policy for the better running of bus services in Cambridgeshire, in turn encouraging the adoption of sustainable travel. This work will build on Alchera's capabilities providing software tools and machine learning via our Intelligent Data Hub, and provide integration to existing workplace tools such as Power BI used by Local Authorities across the UK, to enable them to make data-driven decisions.

公交车正点运行是交通部门长期面临的问题。包括剑桥在内的主要城市一直在努力深入了解公交车延误的根本原因，以便更好地管理和运营更广泛的交通服务，并鼓励更可持续地使用公共交通。然而，由于新冠肺炎疫情，道路使用发生了变化，包括路面尺寸的增加，新的自行车路线和不断变化的出行行为意味着公共交通运营将比以往任何时候都更具挑战性。虽然19号公路暂时减少了整个网络的巴士占用率，但长期使用巴士仍然是交通政策的重要支柱。了解公交网络的运行情况，可以提供关键的见解，帮助我们了解如何以敏捷和响应的方式改善公交网络，鼓励提高公交上座率，并为政策提供信息，以减少更多汽车上路。新冠肺炎的潜在影响之一是，它提供了一个了解网络动态的独特机会，因为由于封锁和道路上的车辆减少，所有公交车都运行得更平稳。然而，随着封锁的继续解除，越来越多的车辆、行人和骑自行车的人回到我们的道路上，夹点已经开始再次出现。大剑桥伙伴关系（GCP）的一个倡议部分，该机构包括剑桥郡议会、剑桥市理事会、南剑桥郡区理事会和剑桥大学，并成立了提供大剑桥城市交易。与智能剑桥密切合作，Alchera将开发一个完全集成的工具，以确定何时公交车运行与预期的时间表不同步。这些数据洞察将确定关键点，以便为运营决策和更广泛的交通政策提供信息，从而更好地运营剑桥郡的公交服务，从而鼓励采用可持续出行。这项工作将建立在Alchera通过我们的智能数据中心提供软件工具和机器学习的能力基础上，并提供与英国各地地方当局使用的Power BI等现有工作场所工具的集成，使他们能够做出数据驱动的决策。