Forthcoming and Online First Articles

International Journal of Vehicle Safety

International Journal of Vehicle Safety (IJVS)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

International Journal of Vehicle Safety (One paper in press)

Regular Issues

  • Real-time estimation of road grade using vehicle 7-DOF dynamics model   Order a copy of this article
    by Shuang Luo, Guiyuan Chen, Changqing Jing 
    Abstract: Road grade information is crucial for the motion control and decision-making of vehicles, but it is difficult to measure accurately. Hence, a vehicle dynamics model with 7 degrees of freedom (DOF) is established, and a road grade estimator is designed using an unscented Kalman filter. The mean absolute error (MAE) and root mean square error (RMSE) between the estimated and actual grades are used to objectively evaluate estimation performance. Furthermore, the estimation results are compared with those of estimators based on the widely used vehicle kinematics model and 1-DOF longitudinal dynamics model. The results show that mismatches and even abnormal peaks are found while longitudinal acceleration changes for the kinematics model-based estimator and that the 1-DOF model-based estimator exhibits a temperamental performance. The presented grade estimator has the advantages of having the highest precision and fewer jitters on continuously variable grade roads or with a variable driving speed.
    Keywords: road grade; estimator; UKF; kinematics model; 1-DOF model; 7-DOF model; lateral acceleration; yaw motion; wheel rotations; CarSim-MATLAB.
    DOI: 10.1504/IJVS.2024.10067538