铁道运输与经济2025，Vol.47Issue(1)：1-12,52,13.DOI:10.16668/j.cnki.issn.1003-1421.2025.01.01
旅客"门到门"城际出行路径规划研究综述
Research Review of"Door-to-Door"Intercity Travel Path Planning for Passengers
摘要
Abstract
With the accelerated advancement of urban agglomeration integration,intercity travel demand is increasingly growing.To enhance the quality of passenger travel services and promote green travel,this study comprehensively reviewed Chinese and international research achievements over the past decade on"door-to-door"travel path planning.It systematically analyzed the modeling of path planning problems for single-mode and multimodal travel and summarized the characteristics and applicable scenarios of path search algorithms such as the shortest path algorithm,A* algorithm,and Dijkstra algorithm.In terms of travel path recommendations,methods based on various data types(e.g.,survey data and historical travel trajectory data)were reviewed,with detailed discussions on the application progress of artificial intelligence algorithms,particularly deep learning and reinforcement learning technologies,in feature extraction and recommendation model construction.Future research should focus on the intelligent integration and optimization of multimodal transportation,the construction of more refined travel service systems,and the realization of"end-to-end"path planning systems,so as to promote intelligent transportation development and optimize green travel.关键词
出行路径规划/路径搜索/路径推荐/个性化/出行即服务Key words
Travel Path Planning/Path Search/Path Recommendation/Personalization/Mobility as a Service分类
交通工程引用本文复制引用
李得伟,吕佳晰,黄悦,徐恩华,杨瑞霞,戴智丞..旅客"门到门"城际出行路径规划研究综述[J].铁道运输与经济,2025,47(1):1-12,52,13.基金项目
中央高校基本科研业务费专项资金资助项目(2022JBQY006,2024YJS081) （2022JBQY006,2024YJS081）
中国铁路北京局集团有限公司科技研究开发计划课题(2023BK01) （2023BK01）
中国国家铁路集团有限公司科技研究开发计划课题(K2022X029) （K2022X029）
