Optimisation for Integrated Service Planning and Operation

优化综合服务规划和运营

• 批准号: 10004617
• 金额: $ 55.7万
• 依托单位: CITY SCIENCE CORPORATION LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10004617
• 关键词: Optimisation; Integrated; Service; Planning; Operation

**Current approaches to fleet infrastructure planning focus predominantly on like-for-like replacement of vehicles (with infrastructure planning largely a second-order concern).** Our research indicates that for passenger and fleets services, this like-for-like replacement approach risks increasing the infrastructure needed by 25%, increasing overall infrastructure costs by a similar amount, increasing the likelihood of grid constraints and pushing up costs for consumers.To overcome this challenge, instead of the like-for-like approach, three critical (but inter-related) problems need to be solved simulateneously. Our solution will solve problems together for the first time by building an ALM system and emulator based on hyperheuristic optimisation and AI.The solution will then guarantee the lowest "total cost of infrastructure", delivering critical cost advantage to fleets and lower prices to service users.

**当前的舰队基础设施计划方法主要集中在类似类似的车辆的替代品上（基础设施计划基本上是二阶问题）。**我们的研究表明，对于乘客和车队服务方法风险将所需的基础设施增加25％，将总体基础设施成本增加相似，增加了网格约束的可能性并提高消费者的成本。要克服这一挑战，而不是类似类似的方法，三个关键方法（三种关键方法）（但是相互关联的问题需要模拟解决。我们的解决方案将首次通过基于超级功能优化和AI的ALM系统和模拟器来共同解决问题。然后，解决方案将确保最低的“基础设施总成本”，从而为车队带来关键的成本优势，并为服务用户提供较低的价格。 。