Artificial Intelligence for Transport - Car Parking Departure Optimisation

交通人工智能 - 停车场出发优化

• 批准号: 10078901
• 金额: $ 6.37万
• 依托单位: ELOY LIMITED
• 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=10078901
• 关键词: Artificial; Intelligence; Transport; Car; Parking

This project aims to apply AI-based data decision making technology to assist and improve transportation, specifically with high density car movement in car parks. The project will be undertaken by 2 organisations: Eloy and Mosimsis (who are providers of the AI technology). Eloy will be the AI adopter and Mosimsis will be the AI provider. Imagine you have bought a ticket to the horseracing, a big motor race (F1), or an airshow. Quite likely, you'll spend a good part of your day queuing to park for the event, and again queuing to leave at the end of the day. Our business idea is to collaborate with the event organiser to provide parking apps that will improve traffic flow, reduce waiting time, and probably, reduce congestion and emissions around the event venue. The idea is to incentivise (e.g., via priority parking, cheaper tickets, or other tie-in benefits) the use of an app which provides parking guidance (where to park, which route to take to the venue, and through the venue, when you leave and depart, and indeed when to depart). The app in turn (via GPS etc) provides data on traffic flow and travel times and whether users are complying with its guidance. The advice that the app provides uses traffic flow models (essentially, big car parking computer games) to inform its advice. These models can be updated using the data collected from the app. In traditional traffic control (e.g., in major cities such as London), this traffic control would be supervised by a human operator sitting in a control room in front of an array of CCTV displays. The idea in this project is instead to use AI.Eloy has an event traffic management solution called EloyEvent, whereby vehicle movement to and from venues is managed by a satellite navigation (SatNav). This solution uses live data generated from the SatNav system and seeks to obtain maximum throughput as vehicles travel along the approach and departure routes. Specifically this solution includes managing the flow of vehicles within the car park, by allocating parking bays and delivering a sequenced and structured emptying plan. There is a substantial benefit to explore new artificial intelligence solutions due to the complexity in creating highly scalable software to be applicable for all car park designs, layouts and flow routes.

该项目旨在应用基于AI的数据决策技术来协助和改善运输，特别是在停车场的高密度汽车运输。该项目将由两个组织进行：Eloy和Mosimsis（是AI技术的提供者）。 Eloy将是AI采用者，Mosimsis将是AI提供者。想象一下，您已经购买了赛马，大型运动赛（F1）或航展。很有可能，您将花费大部分时间排队以停车参加活动，并在一天结束时再次排队离开。我们的业务想法是与活动组织者合作，提供可以改善交通流量，减少等待时间的停车应用程序，并可能减少活动场地周围的拥塞和排放。这个想法是激励（例如，通过优先停车，更便宜的门票或其他搭档福利）使用一个应用程序，该应用程序提供停车指导（在哪里停车，哪个路线到场地，穿过场地，您的时间，离开和离开时，以及何时出发）。该应用程序（通过GPS等）提供了有关流量流和旅行时间以及用户是否遵守其指导的数据。该应用程序提供的建议使用交通流量模型（本质上是大型停车电脑游戏）来告知其建议。可以使用从应用程序收集的数据更新这些模型。在传统的交通管制中（例如，在伦敦等主要城市）中，将由坐在CCTV展示阵列前的控制室中的人类操作员来监督该交通管制。相反，该项目中的想法是使用ai.eloy具有一个名为Eloyevent的事件交通管理解决方案，从而通过卫星导航（SATNAV）管理车辆往返场地的车辆移动。该解决方案使用从SATNAV系统生成的实时数据，并寻求在车辆沿着进近和出发路线行驶时获得最大的吞吐量。具体而言，该解决方案包括通过分配停车位并提供测序和结构化的清空计划来管理停车场内的车辆流。由于创建高度可扩展的软件的复杂性，适用于所有停车场设计，布局和流程路线，因此探索新的人工智能解决方案有很大的好处。