O/D需求矩阵推算——Aimsun 6宏观模型应用

An Aimsun Based OD Matrix Estimation Procedure

在城市交通规划中,O/D需求矩阵是进行交通需求预测的直接依据。通常情况下进行出行调查需要花费大量的人力、物力及时间,相比之下如果可以直接通过大区域范围的O/D矩阵数据或者通过道路流量(线路流量)或交叉口转弯流量观测数据,进行O/D矩阵推算,就可以大大节省项目所需的时间。从实用性的角度,通过对Aimsun 6宏观模块的具体步骤介绍,推出两种交通规划设计者感兴趣的实用方法:一种是采用大区域数据进行O/D需求矩阵推算的子矩阵计算法;另一种是利用一些历史数据,或者道路流量(或线路流量)观测数据进行矩阵调整的OD推算方法。

An O/D demand matrix is the basic data in the travel demand forecasting for transportation planning and engineering projects. But travel surveys that can be used for estimating the DO demand matrix usually require a lot of manpower and time. In comparison, it is more efficient if a OD demand （a traversal matrix） can be estimated from a demand matrix defined on a larger network or based on the traffic counts at the link and/or the turning movement levels in addition to some basic land use based OD demand pattern. In this paper, we present the two methods for estimating O/D demands in Aimsun 6 Macroscopic Modelling environment in detail： a traversal demand matrix from a matrix, and an O/D matrix adjustment.