A reliability-based approach to evaluate the lateral safety of truck platoon under extreme weather conditions

被引:18
|
作者
Ma Xiaoxiang [1 ]
Tu Zhimin [2 ]
Chen Feng [3 ]
机构
[1] Southwest Jiaotong Univ, Sch Transportat & Logist, Natl Engn Lab Integrated Transportat Big Data App, Chengdu 611756, Peoples R China
[2] Guangdong Commun Planning & Design Inst Grp Co Lt, Guangzhou 510507, Peoples R China
[3] Tongji Univ, Minist Educ, Key Lab Rd & Traff Engn, Shanghai 201804, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Traffic safety; Truck platoon; Crosswind; Reliability; Support vector regression; ENGINEERING DESIGN; SUPPORT; PREDICTION;
D O I
10.1016/j.aap.2022.106775
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
The truck platoon is one of the most promising connected and autonomous vehicle (CAV) technologies that can reduce fuel consumption and emission, enhance traffic safety, and increase roadway capacity. It is predicted to become mainstream in the next decade. Therefore, it is imperative to fully investigate the safety issues of the truck platoon before its large-scale deployment. However, studies on the lateral safety of the truck platoon under extreme weather, especially crosswinds are still lacking. To fill such a research gap, the current study contributes to the literature by proposing a reliability-based framework to evaluate the safety of the truck platoon regarding incursion into neighboring lanes due to extreme weather, especially crosswinds. The proposed approach involved three main steps: (1) the computational fluid dynamics (CFD) simulation of the aerodynamics of the truck platoon; (2) the truck platoon driving simulation under crosswind; and (3) the advanced response surface model development and the reliability analysis. Four main factors regarding lateral safety of the platoon were considered: wind speed, road friction coefficients, driving speed, and inter-vehicle spacing. The maximum lateral displacement (MLD) was chosen as a measure of lateral safety. The results showed that there was a significant difference between the aerodynamics of a single truck and that of the truck platoon vehicles and the inter-vehicle spacing between trucks within the truck platoon barely influenced the MLD. The MLD was largest for the leading truck as compared to those of the following trucks. The inter-vehicle spacing didn't have a significant influence on MLD when the inter-vehicle spacing is shorter than 1.5 times of the truck length, while the other factors impacted the MLD significantly. In addition, the support vector regression with the radial basis function outperformed the other response surface functions. Based on reliability analysis, the risk level of the truck platoon was quantified using the safety index, and the impact of contributing factors towards the safety index of the truck platoon was also evaluated. This study confirmed that the proposed framework could be applied to evaluate the lateral safety of the truck platoon. The findings provide important practical implications for the decision-making of transportation management agencies and tailored countermeasures in the CAV) environment.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Reliability-Based Multivehicle Path Planning Under Uncertainty Using a Bio-Inspired Approach
    Liu, Yixuan
    Jiang, Chen
    Zhang, Xiaoge
    Mourelatos, Zissimos P.
    Barthlow, Dakota
    Gorsich, David
    Singh, Amandeep
    JOURNAL OF MECHANICAL DESIGN, 2022, 144 (09)
  • [42] Reliability-based operating safety analysis for high-speed trains under cross stochastic winds
    Yu, Meng-Ge
    Zhang, Ji-Ye
    Zhang, Wei-Hua
    Zhendong yu Chongji/Journal of Vibration and Shock, 2013, 32 (20): : 90 - 96
  • [43] Reliability-based inspection planning for stainless steel piping under conditions of intergranular stress corrosion cracking
    Khaleel, MA
    Simonen, FA
    STRUCTURAL SAFETY AND RELIABILITY, VOLS. 1-3, 1998, : 1317 - 1320
  • [44] Safety Evaluation of Subway Tunnel Construction under Extreme Rainfall Weather Conditions Based on Combination Weighting-Set Pair Analysis Model
    Liu, Ping
    Wang, Yu
    Han, Tongze
    Xu, Jiaming
    Li, Qiangnian
    SUSTAINABILITY, 2022, 14 (16)
  • [45] Determination of Freeway Recommended Speed Based on Safety Risk Under Adverse Weather Conditions
    Wu B.
    Zhai B.
    Lu J.
    Wang Y.
    Tongji Daxue Xuebao/Journal of Tongji University, 2020, 48 (11): : 1570 - 1578
  • [46] Reliability-Based Calibration of Load and Resistance Factors for Design of RC Bridges under Multiple Extreme Events: Scour and Earthquake
    Alipour, Azadeh
    Shafei, Behrouz
    Shinozuka, Masanobu
    JOURNAL OF BRIDGE ENGINEERING, 2013, 18 (05) : 362 - 371
  • [47] A novel decoupled time-variant reliability-based design optimization approach by improved extreme value moment method
    Zhao, Zhao
    Zhao, Yan-Gang
    Li, Pei-Pei
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 229
  • [48] An Artificial Intelligence Approach to Prediction of Corn Yields under Extreme Weather Conditions Using Satellite and Meteorological Data
    Kim, Nari
    Na, Sang-Il
    Park, Chan-Won
    Huh, Morang
    Oh, Jaiho
    Ha, Kyung-Ja
    Cho, Jaeil
    Lee, Yang-Won
    APPLIED SCIENCES-BASEL, 2020, 10 (11):
  • [49] A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions
    Cadini, Francesco
    Agliardi, Gian Luca
    Zio, Enrico
    APPLIED ENERGY, 2017, 185 : 267 - 279
  • [50] A reliability-based approach of fastest routes planning in dynamic traffic network under emergency management situation
    Sun, Ye
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2011, 4 (06) : 1224 - 1236