Hyper-heuristic Optimisation for Advanced Zero Carbon Public Transport Planning

** 随着城市和地区寻求脱碳，公共交通脱碳是一个重大挑战。例如，公共汽车网络的电力需求可能是城市总电网容量的1-15%[1]。我们之前的研究表明，公交车的同类替换将增加25%的基础设施需求，将推动电力基础设施超出其极限，并增加运营商和消费者的成本。每年有超过40亿辆公交车行驶[2]，新的国家公交车战略旨在大幅增加这一数字，将公交车描述为“改善交通的最简单，最便宜和最快捷的方式”。但是，由于多年来投资不足，巴士规划能力和技能受到严重打击。随着国家对改善公共汽车服务的新关注，同时也向零排放车队过渡，迫切需要新的工具来支持该行业。愿景：** 我们的愿景是为协作式巴士服务规划提供端到端的优化系统。该系统将智能地适应零排放公交线路和车队的详细设计，为运营商和公共当局提供他们需要的基础设施和乘客建模见解，以便为他们的公交网络做出明智的长期决策。

**As cities and regions seek to decarbonise, decarbonising public transport presents a major challenge. For example, the electrical requirements from electrifying a bus network could be between 1-15% of town's total grid capacity\[1\].** Our previous research evidences that a like-for-like replacement of buses, increases the infrastructure needed by 25%, will push electrical infrastructure beyond its limit and increase costs to operators and consumers.Over 4bn bus journeys are made every year\[2\] and the new National Bus Strategy aims to significantly increase that number describing buses as "the easiest, cheapest and quickest way to improve transport". But, through years of under-investment, bus planning capability and skills have been hard hit. With a new national focus on improving bus services, while also transitioning to zero emission fleets, there is a critical need for new tools to support the industry.**VISION:** Our vision is to deliver an end-to-end, optimisation system for collaborative Bus Service planning. The system will intelligently accomodate the detailed design of zero emission bus routes and fleets, providing operators and public authorities with the infrastructure and passenger modelling insights they need to make informed long-term decisions for their bus network.