您当前的位置：
首页 >
文章列表页 >
Traffic conflict prediction and influencing factors analysis of truck lane change on expressway
更新时间：2025-05-26

    • Traffic conflict prediction and influencing factors analysis of truck lane change on expressway

    • “In the field of conflict research on highway truck lane changing, experts have established a truck lane changing conflict prediction model based on XGBoost algorithm, providing a solution to reduce lane changing risks.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 10, Pages: 2827-2836(2024)
    • 作者机构：

      华南理工大学 土木与交通学院，广州 510641

    • DOI：10.13229/j.cnki.jdxbgxb.20221569    

      CLC： U491.31

    • Received：07 December 2022，

      Published：01 October 2024

    移动端阅览

  • WEN Hui-ying,HE Zi-qi,LI Qiu-ling,et al.Traffic conflict prediction and influencing factors analysis of truck lane change on expressway[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(10):2827-2836. DOI： 10.13229/j.cnki.jdxbgxb.20221569.

  •  
  •  

0

Views

8

下载量

2

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

Bionic structure design and acoustic and mechanical properties of expressway sound barrier panels
Safety distance between semi-underground hub interchange ramp tunnel exit and secondary diversion points
Expressway small object detection algorithm based on deep learning
Algorithm for adapting transportation capacity of mountainous scenic areas in festival based on highway traffic data
Data-driven prediction of departure state for tail vehicles in queues at signalized intersections

Related Author

ZHANG Chao-lei
CHEN Li-xin
XU Tao
GUO Bin-kai
YU Zheng-lei
HU Ping
GE Hong-cheng
GUO Zhong-yin

Related Institution

Huanbo Jingwei New Material Technology （Weihai） Co.， Ltd.
Key Laboratory of Bionic Engineering， Ministry of Education， Jilin University
State Key Laboratory of Automotive Simulation and Control， Jilin University
China Railway Design Corporation
School of Civil Engineering， Shanghai Normal University
0