基于影响因素分析的船舶交通流量预测多元线性回归模型  

Multivariate Linear Regression Model for Ship Traffic Flow Prediction Based on Influence Factors Analysis

作　　者：王东[1] 熊锡龙[1] 

机构地区：[1]武汉理工大学航运学院,武汉430063

出　　处：《船海工程》2010年第3期178-180,共3页Ship & Ocean Engineering

摘　　要：随着经济的发展,通过长江水域的船舶数量日益增多,通过对长江镇江段的船舶流量进行调研以及对影响船舶交通流量的因素进行分析,能够更为精确地建立船舶流量预测模型,为预测提供科学依据。With the development of the water transportation, the ship quantity of Changjiang river increases rapidly. The authors surveyed and researched the traffic flow of Changjiang river in Zhenjiang area and analyzed the key factors affecting the traffic flow, and set forth a more precise prediction model of the ship traffic flow, which can provide a scientific basis for prediction.

关 键 词：船舶流量 回归 预测 SPSS 

分 类 号：U692[交通运输工程—港口、海岸及近海工程]