带线性约束的具有两分块结构的单调变分不等式问题, 出现在许多现代应用中, 如交通和经济问题等. 基于该问题良好的可分结构, 分裂型算法被广泛研究用于其求解. 提出新的带回代的非精确并行交替方向法解该类问题, 在每一步迭代中，首先以并行模式通过投影得到预测点, 然后对其校正得到下一步的迭代点. 在压缩型算法的理论框架下, 在适当条件下证明了所提算法的全局收敛性. 数值结果表明了算法的有效性. 此外, 该算法可推广到求解具有多分块结构的问题.

This paper considers the monotone variational inequality problems with two separable blocks subject to linear coupling constraints. Problems of this type arise in many contemporary applications including traffic assignment and economics. Based on its favorable separable structure, splitting type methods have been studied. In this paper, we introduce a new inexact parallel alternating direction method with a substitution to solve this family of problems. At each iteration, one can get a predictor by using projection in  parallel fashion, then corrects the predictor to generate the new iterate. For the proposed algorithm, we prove its convergence under mild conditions via the analytic framework of contractive type methods. Some numerical results  are reported to support the efficiency of the new method. Moreover,  the proposed method can be extended to solve the variational inequality problems with multi-blocks.