Combining Qualitative and Quantitative AI data for mobility

结合移动性的定性和定量人工智能数据

• 批准号: 10080158
• 金额: $ 6.2万
• 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: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10080158
• 关键词: Combining; Qualitative; Quantitative; AI; data

Alchera, in partnership with Wordnerds seek to explore collaboration of the most valuable qualitative and quantitative AI analytics in the field of transport, focused on taking action and improving peoples' lives. In this project, Alchera and Wordnerds will unlock data-driven decision making to support Local Authority businesses in planning, assessing and implementing mobility schemes. A huge challenge facing Local Authorities (LAs) is to juggle complex mobility infrastructure planning operations with rapidly evolving public opinion and changing behavioural patterns. Traditionally mobility operations data and customer sentiment data are available in isolation, however don't lend themselves easily to being fused into a single source of truth. This means LAs waste large amounts of time collating, comparing and interpreting these two disparate data sets to make crucial decisions about mobility infrastructure. Alongside our project partners, Wordnerds, we will help LAs to better understand the holistic impact of mobility schemes, such as Low Traffic Neighbourhoods (LTNs) and Intelligent Bus Priority (IBP) measures by fusing previously disparate data sets. This represents a step change in productivity, by pulling together two separate, complex work streams into one more streamlined workflow. This unique approach seeks to provide better allocation of public funds, reducing costs and enables targeted improvements in the areas most deserving. In turn this application supports positive environmental and societal impacts, in addition to addressing the Government's National Cyber Strategy (2022).

Alchera与Wordnerds合作，寻求探索交通领域最有价值的定性和定量人工智能分析的合作，专注于采取行动和改善人们的生活。在这个项目中，Alchera和Wordnerds将解锁数据驱动的决策，以支持地方政府企业规划、评估和实施移动计划。地方政府面临的一个巨大挑战是如何将复杂的移动基础设施规划运营与快速发展的公众舆论和不断变化的行为模式相结合。传统上，移动运营数据和客户情绪数据是孤立存在的，但它们并不容易被融合到单一的事实来源中。这意味着LA浪费大量时间整理、比较和解释这两个不同的数据集，以做出有关移动基础设施的关键决策。与我们的项目合作伙伴Wordnerds一起，我们将通过融合以前不同的数据集，帮助LAs更好地了解移动方案的整体影响，例如低流量社区（LTNs）和智能公交优先（IBP）措施。这代表了生产力的一步变化，将两个独立的复杂工作流合并为一个更精简的工作流程。这种独特的方法旨在更好地分配公共资金，降低成本，并在最值得改进的领域进行有针对性的改进。反过来，该应用程序支持积极的环境和社会影响，除了解决政府的国家网络战略（2022年）。