文献类型：期刊文献

英文题名：A Review of Urban Rail Transit Skip-Stop Operation Optimization Research

作者：Liu, Yongshuai[1]; Sun, Chongwei[2]; Ma, Chao[2]; Ma, Qingyang[1]; Yin, Weichuan[1]; Dou, Fei[1]

第一作者：Liu, Yongshuai

机构：[1] College of Urban Rail Transit and Logistics, Beijing Union University, Beijing, China; [2] Beijing Mass Transit Railway Operation Corp. Ltd., Beijing, China

第一机构：北京联合大学城市轨道交通与物流学院

年份：2026

卷号：1593 LNEE

起止页码：224-230

外文期刊名：Lecture Notes in Electrical Engineering

收录：EI(收录号：20262320833360)

语种：英文

外文关键词：Big data - Energy efficiency - Energy utilization - Mass transportation - Optimization - Railroad transportation - Traffic control - Travel time - Urban transportation

摘要：Optimizing train skip-stop operations is a key strategy for enhancing urban rail transit service quality and reducing operational costs. This paper systematically reviews research progress in this field, first outlining major stopping patterns (all-stop, zonal-stop, express/local, stop-skipping) and their research evolution. It then details skip-stop benefits including reduced travel time, balanced passenger flow, and lower energy consumption and emissions, noting the growing emphasis on energy efficiency aligned with dual-carbon goals. Current limitations include computationally intensive models unsuitable for real-time application and inadequate adaptation to dynamic passenger flow. Future research should integrate big data and AI for dynamic adaptive optimization using short-term forecasting, while enhancing system recovery capability and social equity in operational strategies. ? Beijing Paike Culture Commu. Co., Ltd. 2026.