Ecosy Travel route optimisation algorithm: multimodal journey planning to minimise emissions

Ecosy Travel 路线优化算法：多式联运行程规划，最大限度减少排放

• 批准号: 10042998
• 金额: $ 6.31万
• 依托单位: ECOSY TRAVEL LTD
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10042998
• 关键词: Ecosy; Travel; route; optimisation; algorithm

The Ecosy Travel FastStart project will develop an innovative route optimisation algorithm that enables effective travel route planning to minimise carbon emissions and optimise for the travel preferences of green travellers. The project will also see our route optimisation algorithm built into the Ecosy Travel Trip Planner, to help our customers plan their green getaways and book each leg of the journey direct with the relevant transport provider.Engagement with our supply chain of green holiday properties has shown that there is limited access to many of these businesses without a car due to their rural location. Our algorithm will better service remote destinations, thereby supporting the growth of green tourism in more rural communities that need the economic boost.As with booking a flight, when customers are planning a green getaway they want to see alternative travel options across their departure day(s). Current route planning tools, which optimise for a set departure time, often provide poor results that fail to identify the simplest travel route. We want to fix this and, where it is the users preference, find more night journeys to minimise wasted daytime spent travelling.

Ecosy Travel FastStart项目将开发一种创新的路线优化算法，该算法可以使有效的旅行路线计划最大程度地减少碳排放量并为绿色旅行者的旅行偏好进行优化。该项目还将看到我们的路线优化算法内置在Ecoy Trip Trip Planner中，以帮助我们的客户计划其绿色胜地，并直接与相关运输提供商直接预订旅程的每一条腿。与我们的Green Holiday Properties供应链的参与表明，由于其农村地理位置而没有汽车，对许多企业的访问有限。我们的算法将更好地为遥远的目的地提供服务，从而支持需要经济增长的更多农村社区的绿色旅游业的发展。就像预订航班时，当客户计划绿色度假时，他们希望在出发日（S）看到其他旅行选择。当前的路线规划工具，可在设定的出发时间进行优化，通常会提供较差的结果，无法识别最简单的旅行路线。我们想解决此问题，并且在用户偏爱的地方，可以找到更多的夜间旅行，以最大程度地减少浪费的白天旅行。