AI Powered Telematics Optimisation (AIPTO)

人工智能支持的远程信息处理优化 (AIPTO)

• 批准号: 10081504
• 金额: $ 6.34万
• 依托单位: HODOS MEDIA 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=10081504
• 关键词: AI; Powered; Telematics; Optimisation; AIPTO

The "AI Powered Telematics Optimisation Study" (AIPTO) is a pioneering project aimed at transforming the fleet management industry through the integration of artificial intelligence (AI) and machine learning (ML) technologies. This project will significantly enhance the capabilities of Fleetfoot, an innovative fleet management system developed by Hodos Media. Fleetfoot utilises gamification to drive positive changes in driving behaviours, leading to safer practices, improved fuel efficiency, reduced emissions, and lower maintenance costs.The key innovation in AIPTO is the introduction of a unique software module, designed to process and analyse real-time telematics data from fleet vehicles. Using ML algorithms, this system can discern patterns in driver behaviours, fuel usage, and other essential parameters. With these insights, the module will be able to issue bespoke missions and challenges tailored to each driver's specific needs, ensuring a personalised approach that targets the most critical aspects of their performance. This level of personalisation is expected to lead to more effective skills enhancement, improved fuel efficiency, and safer driving practices.AIPTO will also investigate the feasibility of integrating real-time traffic and weather data into its mission and challenge generation process. By doing so, the project aims to provide even more refined, context-aware recommendations that could optimise routes, mitigate delays, and minimise the impact of adverse weather conditions on fleet operations.In this collaborative endeavour, Hodos Media partners with JM Clark, an operator of a nationwide commercial fleet. Utilising telematics hardware supplied by Omnia Smart Technologies, we will combine our collective expertise in software development, AI, ML, transportation research, and fleet management. With this diverse knowledge base, we aim to deliver an AI-driven solution that will benefit not only drivers and fleet operators, but also significantly contribute to the UK's broader environmental and road safety goals. The presence of real-world commercial fleet operations provided by JM Clark further strengthens the practical applicability and efficacy of the AIPTO project.Upon successful completion, AIPTO will support the UK's National AI Strategy by advancing AI capabilities within the nation and promoting a shift towards more sustainable and efficient transportation systems. The project will aid in reducing greenhouse gas emissions, enhancing road safety, and driving technological innovation in the fleet management industry. Furthermore, the widespread availability of this advanced, AI-driven solution has the potential to stimulate further advancements in related fields, generating a positive and lasting impact on the environment, economy, and society.

“人工智能驱动的远程信息处理优化研究”（AIPTO）是一个开创性的项目，旨在通过人工智能（AI）和机器学习（ML）技术的整合来改变车队管理行业。该项目将显著增强由Hodos Media开发的创新型船队管理系统Fleetfoot的能力。Fleetfoot利用游戏化来推动驾驶行为的积极变化，从而实现更安全的操作，提高燃油效率，减少排放，降低维护成本。AIPTO的关键创新是引入了一个独特的软件模块，用于处理和分析车队车辆的实时远程信息处理数据。使用机器学习算法，该系统可以识别驾驶员行为、燃料使用和其他基本参数的模式。有了这些见解，该模块将能够根据每位驾驶员的具体需求定制任务和挑战，确保个性化的方法针对他们表现的最关键方面。这种个性化水平有望带来更有效的技能提升，提高燃油效率，以及更安全的驾驶实践。AIPTO还将研究将实时交通和天气数据整合到其任务和挑战生成过程中的可行性。通过这样做，该项目旨在提供更精细的、情境感知的建议，以优化路线、减轻延误，并最大限度地减少恶劣天气条件对车队运营的影响。在这一合作努力中，Hodos Media与JM Clark合作，后者是一家全国性商业船队的运营商。利用Omnia Smart Technologies提供的远程信息处理硬件，我们将结合我们在软件开发、人工智能、机器学习、交通研究和车队管理方面的集体专业知识。有了这个多样化的知识库，我们的目标是提供一个人工智能驱动的解决方案，不仅有利于司机和车队运营商，而且还能为英国更广泛的环境和道路安全目标做出重大贡献。JM Clark提供的真实商业船队运营的存在进一步加强了AIPTO项目的实际适用性和有效性。一旦成功完成，AIPTO将支持英国的国家人工智能战略，通过在国内推进人工智能能力，促进向更可持续和高效的交通系统转变。该项目将有助于减少温室气体排放，加强道路安全，并推动车队管理行业的技术创新。此外，这种先进的、人工智能驱动的解决方案的广泛应用有可能刺激相关领域的进一步发展，对环境、经济和社会产生积极而持久的影响。