基于区间情景的不确定性OD反推模型与算法

Uncertain Optimization Model and Algorithm of Estimating Origin-destination Matrices Based on Interval Scenarios

由路段流量反推OD矩阵,路段流量的调查结果往往被认定为是一个确定数。但是实际生活中,任何一条路段的流量值都是波动的,将其固定为某个数值势必造成反推出的OD对的不精确性。本文将路段流量视为合理范围内的区间数,运用不确定规划技术,计算出各OD对的合理区间。并以一个简单路网为例,验证该方法是可行的。

When estimating O-D matrices through link flow, the link counts are often taken as certain numbers. However, in reality, every link flow value is fluctuant. Fixed link counts will inevitably result in O-D matrix imprecisely. Taking the link counts as interval numbers within reasonable range, an interval optimization model is established to estimate the OD matrices, and reasonable intervals are calculated. Using a simple network the approach is tested, and the result shows that this method is feasible.