Research on the Intelligent Assignment Model of Urban Traffic Planning Based on Optimal Path Optimization Algorithm
Research on the Intelligent Assignment Model of Urban Traffic Planning Based on Optimal Path Optimization Algorithm
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基于最优路径优化算法的城市交通规划智能分配模型研究
DOI：
10.1155/2022/3002923
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发表时间：
2022-01
影响因子：
--
通讯作者：
Yifeng Yao
中科院分区：
文献类型：
--
作者：
Yuan LU;Shengyong Yao;Yifeng Yao
近年来，公路运输领域的拥堵和复杂性不断上升，特别是因为车辆的增长速度远远超过了道路和其他运输设施的增长速度。为了保证交通畅通，减少交通拥堵，提高道路安全，减少空气污染对环境的负面影响，越来越多的交通管理部门正在转向新的科学技术。将城市道路交通按节点和边线进行模拟，并结合图论，加入道路交通实时变化的信息，显示和计算道路中的相关数据和参数。在此基础上，探讨了高度信息化背景下的动态路径优化算法模型。虽然改进算法的最优路径可能不是常规的最短路径，但其实际出行时间最短，在很大程度上更符合用户的实际出行需求。
Congestion and complexity in the field of highway transportation have risen steadily in recent years, particularly because the growth rate of vehicles has far outpaced the growth rate of roads and other transportation facilities. To ensure smooth traffic, reduce traffic congestion, improve road safety, and reduce the negative impact of air pollution on the environment, an increasing number of traffic management departments are turning to new scientifically developed technology. The urban road traffic is simulated by nodes and sidelines in this study, which is combined with graph theory, and the information of real-time changes of road traffic is added to display and calculate the relevant data and parameters in the road. On this foundation, the dynamic path optimization algorithm model is discussed in the context of high informationization. Although the improved algorithm’s optimal path may not be the conventional shortest path, its actual travel time is the shortest, which is more in line with users’ actual travel needs to a large extent.
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影响因子：
1.3
作者：
Luis Carlos Sanchez;Jorge Herrera
通讯作者：
Luis Carlos Sanchez;Jorge Herrera
DOI：
10.1007/s00170-017-1167-3
发表时间：
2017-10
期刊：
The International Journal of Advanced Manufacturing Technology
影响因子：
--
作者：
H. Akbaripour;M. Houshmand;T. Woensel;Nevin Mutlu
通讯作者：
H. Akbaripour;M. Houshmand;T. Woensel;Nevin Mutlu
DOI：
10.3724/sp.j.1089.2018.16441
发表时间：
2018
期刊：
Journal of Computer-aided Design & Computer Graphics
影响因子：
--
作者：
Wei Wang;Jianfeng Wang;Jue Qu;Chu-Feng Rao;Yu-Heng Fan
通讯作者：
Wei Wang;Jianfeng Wang;Jue Qu;Chu-Feng Rao;Yu-Heng Fan
影响因子：
10.9
作者：
Zhao, Mengyang;Jha, Aadarsh;Liu, Quan;Millis, Bryan A.;Mahadevan-Jansen, Anita;Lu, Le;Landman, Bennett A.;Tyska, Matthew J.;Huo, Yuankai
通讯作者：
Huo, Yuankai
影响因子：
4.8
作者：
Liu, Runmin;Cai, Weiwei;Jiang, Yizhang
通讯作者：
Jiang, Yizhang