摘要
运量预测是铁路运输组织工作的重要基础和主要依据之一,是一项经常性工作。只有根据运量预测结果及其他方面的信息才能做出科学的决策,编制出可行计划、规划或发展战略,最大程度地减少风险,降低运作成本,减少设施闲置。运用灰色预测模型建立铁路客流预测模型,对我国铁路客运量进行预测,灰色模型的方法简单,适合在数据少的情况下预测短期客流量。
Traffic volume forecast is the important foundation of railway transport organization work and one of the main basis, is a regular job, according to the results of traffic volume forecast and other information to make a scientific decision, develop the feasible plan, planning or development strategy, the greatest degree of reduce risk, reduce operating costs, reduce facilities idle, so railway passenger flow prediction model is established by using grey prediction model of railway passenger traffic forecast to our country.
出处
《交通科技与经济》
2014年第1期57-60,共4页
Technology & Economy in Areas of Communications
关键词
铁路客流
灰色模型
预测模型
残差检验
相对误差
railway passenger flow
grey model
prediction model
residual test
the relative erro
