EventGo - Intelligent Rail Service Demand Forecasting for Event-based Travel
EventGo - Intelligent Rail Service Demand Forecasting for Event-based Travel
批准号:
10037294
负责人:
金额:
$31.85万
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --
中文摘要
**目的**EventGo将展示一种一流的解决方案,用于准确预测大型游客活动对特定铁路服务需求的影响,提前了解铁路运力,并增强TOC规划团队优化规划和提供铁路时刻表和服务的能力。数据支持的决策有望提高整体TOC操作性能,因为需求与供应更精确地匹配,以实现新的成本效率,提高产量,并提供增强的客户体验。项目成果解决了竞赛的计划弹性和可恢复性主题。**挑战**大型游客活动在铁路网络内造成极端需求高峰。尽管这类活动通常提前几个月就安排好了,但由于缺乏有关游客旅行计划的提前数据,准确预测这种需求可能如何影响特定的定期铁路服务是出了名的复杂。实际上,toc通常依赖于最佳猜测估计。正如最近在巴黎举行的欧洲冠军联赛(UEFA Champions League)决赛所证明的那样,低估游客的出行可能会对一个组织的声誉和游客安全造成严重后果。**项目**英国TOC规划团队将部署成熟的EventGo原型解决方案,以预测2023年1月至3月期间约克郡地区的一系列体育赛事可能如何影响时间表铁路服务。在此期间,合作伙伴将研究计划者如何利用EventGo产生的先进见解对计划服务进行智能调整,例如,增加特定服务的容量以满足高需求,确保最佳的资产利用率并提供最高水平的客户体验。**价值**在实时铁路环境中的演示使合作伙伴既可以验证模型的铁路旅行需求预测的准确性,又可以证明这种智能对TOC操作的商业价值。此外,累积的结果将简化产品审批程序,并提高新解决方案在目标市场的知名度。**联合体**该项目由您牵头。聪明。事情。(“YST”)是一家智能移动解决方案专家,得到了两家英国toc、一家顶级体育机构和体育场管理公司以及地区政府合作伙伴的支持。专业项目管理由总部位于英国的咨询公司In The Round(“ITR”)提供,该公司专门从事大型游客活动差旅管理。
英文摘要
**Aim**EventGo will demonstrate a first-of-a-kind solution for accurately predicting how large visitor events impact demand for specific railway services, generating advance insight on rail capacity, and enhancing the ability of TOC planning teams to optimally plan and deliver railway timetables and services. Data-enabled decision-making is expected to improve overall TOC operation-al performance, as demand is more precisely matched with supply in order to realise new cost efficiencies, improve yield, and deliver enhanced customer experiences. The project outcomes address the competition's plan resilience and recoverability theme.**Challenge**Large visitor events create extreme demand peaks within the railway network. Though such events are often scheduled months in advance, accurately predicting how this demand is likely to impact a specific scheduled railway service is notoriously complex due to the lack of advance data about visitors' travel plans. In leu, TOCs often rely on best guess estimations. As recent UEFA Champions League finals in Pairs demonstrated, underestimating visitor travel can have severe consequences for an organisation's reputation, and visitor safety.**Project**A mature EventGo prototype solution will be deployed by UK TOC planning team to predict how a series of sporting fixtures between January and March 2023 in the Yorkshire region are likely to impact time-tabled railway services. During this period, partners will investigate how advanced insight generated by EventGo can be exploited by planners to make intelligent adjustments to scheduled services, e.g., adding capacity to specific services to match high demand, to ensure optimal asset utilisation and deliver the highest level of customer experience.**Value**Demonstration in a live railway environment allows partners to both verify the accuracy of the model's rail travel demand prediction, and to evidence the business value such intelligence can have on TOC operations. In addition, accrued results will facilitate product approval procedures and raise the visibility of the novel solution in the target market.**Consortium**The project is led by You. Smart. Thing. ("YST"), a specialist in intelligent mobility solutions, and supported by two UK TOCs, a top-tier sporting institution and stadium management company, and regional government partners. Professional project management is provided by In The Round ("ITR"), a UK-based consultancy specialising large visitor events travel management.
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批准号:--
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项目类别:外国学者研究基金项目
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资助金额:--
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批准年份:2024
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负责人:USHARANI HAREESH GOVINDARA JAN
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依托单位: