A horizontal alignment can be represented by three key factors: number of horizontal points of intersection (HPIs), their locations, and corresponding horizontal curve radii. Deciding all the three factors simultaneously requires extensive effort, which is not practically feasible in the manual alignment development process. Most available computer‐aided methods prioritize some or all the three factors in the automated alignment development processes. However, approximation in HPI location or pre‐selection of HPI number and curve radius are the few limitations of these methods. This study presents a modified motion‐planning based algorithm for developing new horizontal alignments with optimized costs and impacts. It simultaneously uses a low‐discrepancy sampling technique to develop increasingly dense potential HPIs, rapidly exploring random trees to find a suitable number of intermediate HPIs at appropriate locations and sequential quadratic algorithm to select optimally fitted curve radii. The proposed algorithm is integrated with the GIS database for realistic location‐dependent cost and environmental impact assessment. Two real‐world study areas were selected to compare the results with the one reported in the literature and to evaluate backtracking capability. Results indicated the proficiency of the proposed algorithm in developing new alignments. The sensitivity analyses revealed the effect of design speed and right‐of‐way width on the alignment generation. The proposed algorithm can automate the new horizontal highway alignment development process and support highway engineers in planning and development.

中文翻译：

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改进的公路平面线形开发运动规划算法

水平对齐方式可以通过三个关键因素来表示：水平交点（HPI）的数量，它们的位置以及相应的水平曲线半径。同时确定所有三个因素需要大量的努力，这在手动对齐开发过程中实际上是不可行的。大多数可用的计算机辅助方法都会在自动路线开发过程中优先考虑部分或全部三个因素。但是，HPI位置的近似值或HPI数量和曲线半径的预选是这些方法的一些局限性。这项研究提出了一种改进的基于运动计划的算法，用于开发具有最佳成本和影响的新水平路线。它同时使用低偏差采样技术来开发越来越密集的潜在HPI，快速探索随机树，以在适当的位置找到适当数量的中间HPI，并采用顺序二次算法选择最佳拟合的曲线半径。所提出的算法与GIS数据库集成在一起，可以进行实际的位置相关成本和环境影响评估。选择了两个真实的研究区域，以将结果与文献中报道的区域进行比较，并评估回溯能力。结果表明该算法在开发新比对中的熟练程度。灵敏度分析揭示了设计速度和通行宽度对路线生成的影响。所提出的算法可以使新的水平公路路线开发过程自动化，并支持公路工程师的规划和开发。