课题基金 / 基金详情

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

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
负责人:
金额:
$12.09万
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
项目状态:
已结题
起止时间:
2020 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
公交车按计划运行是交通部门长期面临的问题。为了更好地管理和运营更广泛的交通服务,鼓励更可持续地使用公共交通,包括剑桥在内的大城市一直在努力深入了解公交延误的根本原因。然而,由于新冠肺炎导致的道路使用方式的逐步变化,包括增加人行道尺寸、新的自行车路线以及出行行为的改变,公共交通运营将变得比以往任何时候都更具挑战性。虽然新冠肺炎暂时减少了全网公交车的占有率,但长期使用公交车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为如何以灵活和响应迅速的方式改进公交网络提供关键见解,鼓励更高的公交车占有率,并为让更多汽车离开道路的政策提供信息。Covid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,因为由于道路上的封锁和更少的车辆,所有公交车都运行得更顺畅。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。在这个项目中,Alchera将与Smart Cambridge计划密切合作,GCP是大剑桥伙伴关系(GCP)的一部分,GCP是包括剑桥郡议会、剑桥市议会、南剑桥郡区议会和剑桥大学在内的机构,旨在提供大剑桥城市交易。Alchera将与Smart Cambridge密切合作,开发一种完全集成的工具来识别公交车何时与预期的时间表不同步。这些数据洞察将确定难点,以便为运营决策提供信息,并制定更广泛的交通政策,以更好地运营剑桥郡的公共汽车服务,进而鼓励采用可持续交通。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的基础上,并提供与英国各地地方当局使用的现有工作场所工具(如Power BI)的集成,以使他们能够做出数据驱动的决策。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
SERS探针诱导TAM重编程调控头颈鳞癌TIME的研究
  • 批准号:
    82360504
  • 项目类别:
    地区科学基金项目
  • 资助金额:
    32万元
  • 批准年份:
    2023
  • 负责人:
    周学军
  • 依托单位:
华蟾素调节PCSK9介导的胆固醇代谢重塑TIME增效aPD-L1治疗肝癌的作用机制研究
  • 批准号:
    82305023
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2023
  • 负责人:
    王萌
  • 依托单位:
基于MRI的机器学习模型预测直肠癌TIME中胶原蛋白水平及其对免疫T细胞调控作用的研究
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    52万元
  • 批准年份:
    2022
  • 负责人:
    李文政
  • 依托单位:
结直肠癌TIME多模态分子影像分析结合深度学习实现疗效评估和预后预测
  • 批准号:
    62171167
  • 项目类别:
    面上项目
  • 资助金额:
    57万元
  • 批准年份:
    2021
  • 负责人:
    姜慧杰
  • 依托单位: