Department of Mathematics, Lahore College for Women University, Lahore, Pakistan.
PLoS One. 2024 Nov 5;19(11):e0309698. doi: 10.1371/journal.pone.0309698. eCollection 2024.
Routable Digital Maps represent a recent advancement driven by the growth of Intelligent Transportation System applications. Efforts have been made to develop and utilize maps within computer systems that can autonomously identify optimal routes. Typically, online map visualizations lack essential information such as traffic patterns, construction zones, or lane counts, which are crucial for designing accurate and realistic routes. This research introduces a route planning method that aggregates and reuses various data points to establish a robust framework for developing new routing plans. The primary goal is to analyze the collected data and create a framework for estimating a geometrically smooth centerline of a road map route. This method involves generating a series of parallel curves, known as offset curves, to facilitate the creation of new routes and alternative lanes. The following examples illustrate some empirical results obtained from this approach.
可路由数字地图代表了智能交通系统应用增长所带来的最新进展。已经做出了努力来开发和利用计算机系统内的地图，以便系统能够自主识别最佳路线。通常，在线地图可视化缺乏关键信息，如交通模式、施工区域或车道数量等，这些信息对于设计准确和现实的路线至关重要。本研究介绍了一种路线规划方法，该方法聚合和重用各种数据点，为开发新的路由计划建立了一个强大的框架。主要目标是分析收集的数据并创建一个框架，用于估计道路地图路线的几何平滑中心线。该方法涉及生成一系列平行曲线，称为偏移曲线，以方便创建新路线和替代车道。以下示例说明了从这种方法中获得的一些经验结果。
