Ant colony algorithm for multilevel restricted searching area based on time dependent road network model

Yun-yun Du, Hong-yun Ning, Zhi-xin Yang, Yan-xia Cui
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引用次数: 1

Abstract

Aiming at the defect that the current time dependent road network model cannot fully reflect the information of the road attribute, and considering that the road weights of traffic congestion factors should be based on the characterization of travel time and the impedance function model of average speed relations, we put forward the improved road network model which is based on the edge cost analysis; Then we propose the ant colony optimization algorithm of a new hierarchical restricted search area and the corresponding dynamic switching strategy for traffic jams, when the search level can be dynamically adjusted by the road capacity of traffic congestion, we can achieve the purpose of improving the quality of route planning and avoiding the congested road. Our simulation experiment uses the scheme of random allocation speed value by speed fitting function, and provides the multi-population ant colony algorithm based on layered restricted searching area is significantly better than others.
基于时变路网模型的多层受限搜索区域蚁群算法
针对当前时变路网模型不能充分反映道路属性信息的缺陷,考虑到交通拥堵因子的道路权重应基于出行时间特征和平均速度关系的阻抗函数模型,提出了基于边缘成本分析的改进路网模型;然后提出了一种新的分层限制搜索区域的蚁群优化算法和相应的交通拥堵动态切换策略,当搜索级别可以根据交通拥堵的道路容量动态调整时,可以达到提高路线规划质量和避免道路拥堵的目的。仿真实验采用速度拟合函数随机分配速度值的方案,结果表明基于分层限制搜索区域的多种群蚁群算法明显优于其他算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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