To improve rollover prevention and rollover warning systems, indicators for detecting rollover risks are extremely important. Vehicle rollover accidents occur in one of two ways: tripped and untripped rollovers. For detecting tripped rollovers, the traditional rollover index is ineffective; most precise rollover indicators depend on dynamic models that must identify all the parameters for computations. In this study, we focused on exploring a new index for detecting tripped and untripped rollovers using a neural network (NN). Four types of NNs, i.e., FNN, Tanh, long short-term memory, and gated recurrent unit (GRU), were examined to develop models for estimating rollover indices. The results demonstrated that the GRU and large Tanh network are the most suitable NNs for untripped and tripped rollover prediction, respectively. Moreover, the untripped rollover prediction model having a small GRU network could precisely anticipate the trend of the untripped rollover indicators for up to 0.2 s in advance. Moreover, the created tripped rollover anticipation model with a large Tanh network could precisely forecast the trend of the tripped rollover index up to 0.5 s in advance. Based on these results, rollover prediction in future can be advantageous for rollover prevention and warning systems.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Untripped and Tripped Rollovers with a Neural Network


    Additional title:

    Int.J Automot. Technol.



    Published in:

    Publication date :

    2023-06-01


    Size :

    18 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Characteristics of Soil-Tripped Rollovers

    Colwell, Jeff / Cooperrider, Neil K. / Hammoud, Selim A. | SAE Technical Papers | 1998


    Characteristics of Soil-Tripped Rollovers

    Cooperrider, N. K. / Hammoud, S. A. / Colwell, J. et al. | British Library Conference Proceedings | 1998


    Characteristics of soil-tripped rollovers

    Cooperrider,N.K. / Hammoud,S.A. / Colwell,J. et al. | Automotive engineering | 1998


    Prediction and Prevention of Tripped Rollovers

    G. Panomchoeng / R. Rajamani | NTIS | 2012


    A New Sensing Concept for Tripped Rollovers

    Kroninger, M. / Lahmann, R. / Lich, T. et al. | British Library Conference Proceedings | 2004