中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2021, Vol. 40 ›› Issue (09): 49-54.DOI: 10.3969/j.issn.1674-0696.2021.09.08

• 交通+大数据人工智能 • 上一篇    下一篇

基于Trucksim的弯坡组合路段临界车速确定方法

阎莹1,刘革1,田敏1,刘佳乐1,穆岩2   

  1. (1. 长安大学 运输工程学院,陕西 西安 710064; 2. 长安大学 材料科学与工程学院,陕西 西安 710064)
  • 收稿日期:2020-03-05 修回日期:2020-04-12 出版日期:2021-09-17 发布日期:2021-09-18
  • 作者简介:阎莹(1981—),女,陕西西安人,教授,博士,主要从事道路交通安全方面的研究。E-mail:yanying2199@chd.edu.cn 通信作者:刘革(1995—),男,山东济南人,硕士研究生,主要从事道路交通安全方面的研究。E-mail:lg950205@163.com
  • 基金资助:
    陕西省自然科学基金项目(2018JM5117)

Method for Determining Critical Speed of Curve-Slope Combination Section Based on Trucksim

YAN Ying1, LIU Ge1, TIAN Min1, LIU Jiale1, MU Yan2   

  1. (1. College of Transportation Engineering, Changan University, Xian 710064, Shaanxi, China; 2. School of Materials Science and Engineering, Changan University, Xian 710064, Shaanxi, China)
  • Received:2020-03-05 Revised:2020-04-12 Online:2021-09-17 Published:2021-09-18

摘要: 为探究不同弯坡组合与车辆失稳时临界车速之间的关系,选取6轴铰接列车为实验车型,通过Trucksim软件建立人-车-路耦合系统,进行不同弯坡组合工况下车辆失稳仿真实验。基于最小二乘原则,通过对仿真结果拟合与回归分析,建立了弯坡组合路段临界车速预测模型;并在某特定工况下验证了该模型的合理性。结果表明:该模型预测临界车速与Lusetti模型相近,并且在某特定工况下计算误差最小。该研究为车辆在弯坡路段临界车速预测提供了一种安全、有效的方法参考。

关键词: 交通工程;弯坡组合路段;Trucksim仿真;临界车速;预测模型

Abstract: In order to explore the relationship between different combinations of curve and slope and the critical vehicle speed when the vehicle was unstable, the 6-axis articulated train was selected as the experimental model. And a human-vehicle-road coupling system was established by the Trucksim software to carry out the vehicle instability simulation experiment under different curve-slope combinations. Based on the principle of least square, the critical speed prediction model of the curve-slope section was established by the fitting and regression analysis of the simulation results. Finally, the rationality of the proposed model was verified under a certain working condition. The results show that the critical speed predicted by the proposed model is close to that predicted by Lusetti model, and the calculation error is the smallest under a certain working condition. This study provides a safe and effective method for predicting the critical speed of vehicles in curved slope sections.

Key words: traffic engineering; slope-curve combination section; Trucksim simulation; critical vehicle speed; prediction model

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