运筹与管理Issue(4)：246-253,8.
基于运行时间预测的枢纽内多线路协调调度研究
Multiline Transit Coordination at a Hub Based on Bus-arrival Time Prediction
摘要
Abstract
Due to the poor prediction of traditional scheduling model, a SVM-based prediction model is put for-ward to forecast the arrival time of public transport vehicles at the transfer station.Then a scheduling model aimed at reducing the total waiting time of passengers is constructed to dynamically coordinate the departure time at the transfer station.Genetic Algorithm is applied to solve the dynamic scheduling problem in this paper. Finally, this paper verifies the feasibility of the model and algorithm with the data of Shahekou station in Dalian city.And the results show that the scheduling method this paper proposed is superior to the traditional scheduling method.关键词
交通运输规划与管理/公交动态车辆调度/到达时间预测/SVM模型/遗传算法Key words
transportation planning and management/bus dynamic vehicle scheduling/arrival time prediction/SVM( support vector machine)-based model/genetic algorithm分类
交通工程引用本文复制引用
于滨,崔瑶,蔡婉君,马宁..基于运行时间预测的枢纽内多线路协调调度研究[J].运筹与管理,2015,(4):246-253,8.基金项目
国家自然科学基金青年基金项目（51108053）；教育部新世纪人才支持计划（NCET-12-0752）；辽宁省高等学校优秀科技人才支持计划 （）
