The information of centerlines can not cover the changes of lanes, and the two-dimensional model is also inadequate in the expression of three-dimensional transportation networks.

目前，基于路段中心线的二维道路网络模型已经普遍存在，但其在几何特征及拓扑关系表达等方面都难以满足复杂交通系统的需求。

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This thesis put forward an idea of using the heuristic algorithm and neural networks to solve the two-dimensional irregular nesting problems.

本文提出一种用启发算法和神经网络法相结合的算法解决二维不规则零件的排料问题。

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