您当前的位置：
首页 >
文章列表页 >
Iterative weighted algorithms of static congestion traffic assignment considering spatial queuing
更新时间：2025-05-26

    • Iterative weighted algorithms of static congestion traffic assignment considering spatial queuing

    • “In the field of traffic flow allocation, experts have proposed a new algorithm that considers queuing in congested spaces, solving core problems such as identifying congested areas and providing new directions for the development of traffic flow allocation theory.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 1, Pages: 136-145(2024)
    • 作者机构：

      1.北京交通大学 综合交通运输大数据应用技术交通运输行业重点实验室， 北京 100044

      2.河南工业大学 土木建筑学院， 郑州 450007

    • DOI：10.13229/j.cnki.jdxbgxb.20220214    

      CLC： U491

    • Received：06 March 2022，

      Published：30 January 2024

    移动端阅览

  • YUE Hao,ZHANG Qi-yue,YANG Zi-yu,et al.Iterative weighted algorithms of static congestion traffic assignment considering spatial queuing[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(01):136-145. DOI： 10.13229/j.cnki.jdxbgxb.20220214.

  •  
  •  

0

Views

8

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Safety distance between semi-underground hub interchange ramp tunnel exit and secondary diversion points
Algorithm for adapting transportation capacity of mountainous scenic areas in festival based on highway traffic data
Driving intention recognition based on trajectory prediction and extreme gradient boosting
Strength and statistical damage model in whole process of clay-concrete combined body
Multi-lane cellular automata model considering bus-high occupancy vehicle lane

Related Author

GE Hong-cheng
GUO Zhong-yin
SONG Can-can
WANG Shi-wei
YAN Sheng-yu
WEN Fu-hua
WU Jin
ZHENG Yi

Related Institution

China Railway Design Corporation
School of Civil Engineering， Shanghai Normal University
Key Laboratory of Road and Traffic Engineering， Ministry of Education， Tongji University
Development of Big Data Resource，Yunnan Communications Investment & Construction Group Co.， Ltd.
School of Automobile， Chang'an University
0