Short-term travel flow prediction method based on FCM-clustering and ELM

• 作 者: 王星超 胡坚明 梁伟 张毅
• 机 构: DepartmentofControlScienceandEngineering,DepartmentofAutomation
• 出 处: Journal of Central South University
• 发表日期: 2017年6期
• 关键词: intelligent transportation systems (ITS) TRAVEL flow prediction extreme learning

Short-term travel flow prediction has been the core of the intelligent transport systems (ITS). An advanced method based on fuzzy C-means (FCM) and extreme learning machine (ELM) has been discussed by analyzing prediction model. First, this model takes ad