SRN IMPACT (InterModal Performance Analysis of Citizens Travel)

SRN IMPACT（公民出行的多式联运绩效分析）

• 批准号: 971682
• 金额: $ 34.24万
• 依托单位: TRAVELAI LTD
• 依托单位国家: 英国
• 项目类别: Small Business Research Initiative
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=971682
• 关键词: SRN; IMPACT; InterModal; Performance; Analysis

TravelAi proposes SRN IMPACT (InterModal Performance Analysis of Citizen Travels) to digitize travel demand surveying. We propose a state-of-the-art, automatic, digital, travel-demand-survey tool that will allow Highways England (HE) to see the movement of users between the SRN, minor roads, plane, rail, bus and metro networks. Using a smartphone’s sensors and TravelAi deep learning informed mode detection IP to automatically crowdsource rich and accurate quantitative travel-behaviour data, deliver qualitative, personalised questionnaires, and adapt its operation to external event-based triggers. Our tool will be made available for local, regional and national authorities to use. Hertfordshire County Council (HCC) sit on a DfT working group seeking new digital technologies for use in solving transport issues. HCC is responsible for 634 sqm with an urban south and rural north. It is the only county to be dissected by 4 motorways (M25, M1, A1(M), M11) with 3 major airports on its borders (Luton, Heathrow, & Stansted) making Hertfordshire a critical transport hub for the south east. Rail connectivity includes the Thameslink service taking residents directly into central London, East Coast services & London Midland. HCC are an active partner and the first of many we will recruit as testers during the real world deployment. The anticipated benefits from addressing these themes include: • Improved connectivity within the SRN and rest of the regional road network • Data today, able to inform present and future operational decisions for CAVs and SRN • Improved network capacity utilisation • Improved and more personalised engagement with customers • Greater understanding of the interoperability of different transport modes • Data to inform MaaS implementation and service bundling • Operational resilience Why SRN IMPACT is value for money:- The DfT's National Travel Survey and Transport for London's Travel Demand Survey each survey 8,000 households for 1 week at costs of £2.5m and £1.5m, respectively. Up to 27% of the cost of these paper-based surveys are 1-to-1 interviews and data entry and cleaning. By automating data collection, our proposed solution stands to yield savings well in excess of its development cost within its first use in a large-scale deployment. HE will have a 2Y license to use the solution across the SRN e.g. in its own app or in Transport Focus-led surveys.

TravelAi提出了SRN IMPACT（InterModal Performance Analysis of Citizen Travels），以支持出行需求调查。我们提出了一种最先进的、自动的、数字的出行需求调查工具，使英格兰高速公路（HE）能够查看用户在SRN、次要道路、飞机、铁路、公交车和地铁网络之间的移动情况。使用智能手机的传感器和TravelAi深度学习知情模式检测IP，自动众包丰富而准确的定量旅行行为数据，提供定性的个性化问卷，并根据外部事件触发调整其操作。我们的工具将提供给地方、区域和国家当局使用。赫特福德郡理事会（HCC）是DfT工作组的成员，该工作组正在寻求新的数字技术用于解决交通问题。HCC负责634平方米的城市南部和农村北部。它是唯一的县被解剖4高速公路（M25，M1，A1（M），M11）与3个主要机场在其边界（卢顿，希思罗机场，&斯坦斯特德）使赫特福德郡成为东南部的重要交通枢纽。铁路连接包括Thameslink服务，将居民直接带到伦敦市中心，东海岸服务和伦敦米德兰。HCC是一个积极的合作伙伴，我们将在真实的世界部署期间招募许多人作为测试人员。处理这些主题的预期惠益包括：·改善了SRN和区域公路网其他部分的连通性·今天的数据，能够为CAV和SRN的当前和未来运营决策提供信息·提高网络容量利用率·改善与客户的互动并使其更加个性化·更好地了解不同运输模式的互操作性·运营弹性为什么SRN IMPACT物有所值：-英国交通部的全国旅行调查和伦敦交通需求调查分别对8,000户家庭进行了为期一周的调查，调查费用分别为250万英镑和150万英镑。这些基于纸张的调查的成本中，高达27%是一对一的采访和数据输入和清理。通过自动化数据收集，我们提出的解决方案在大规模部署中首次使用时所节省的成本将远远超过其开发成本。HE将拥有在SRN中使用该解决方案的2年许可证，例如在自己的应用程序中或在交通焦点主导的调查中。