Effectiveness of Truck Rollover Warning Systems

Baker, Derek; Bushman, Rob; Berthelot, C

doi:10.3141/1779-18

Cited by 8 publications

(9 citation statements)

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“…The tractor-semitrailer lateral and yaw dynamic equations can be computed from equations (32), (33), (34), and (35), respectively. The dynamic equations of the 3-DOF model of the AV can be illustrated briefly using three independent equations, i.e.…”

Section: Control System Designmentioning

confidence: 99%

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A new automated motion planning system of heavy accelerating articulated vehicle in a real road traffic scenario

Shojaei

Hanzaki

Azadi

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part K:

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The main purpose of this study is to develop a novel motion planning for an articulated vehicle (AV) in real traffic situations. This motion planning generates collision-free and feasible trajectories based on kinematic and dynamic analyses of the AV concerning its surrounding vehicles. For this purpose, the collision-free trajectories are simulated in the presence of other vehicles, when the AV is conducting a lane change manoeuvre. A new method is utilised to derive the feasible trajectories by taking into account 3-D surface of the slip angle, roll angle, and lateral acceleration of the AV. This paper presents a new approach to generate the trajectory of an accelerating AV considering the surrounding vehicles in manoeuvre, which are either accelerating or decelerating. The optimal trajectory is then obtained based on the longitudinal acceleration of the AV and the time duration of the lane change manoeuvre, aimed at trajectory tracking control. Therefore, a 3-DOF dynamic model of the AV, including the yaw-rate, lateral velocity of the tractor and articulation angle, is developed. The tyres dynamic is simulated using non-linear Dug-off model. Furthermore, an innovative trajectory tracking control system is proposed concerning a sliding mode control. The developed dynamic model of the AV is verified by the Truck-Sim model. Results show that the collision-free and feasible trajectories can be generated based on the newly presented method of trajectory planning. The outcomes of the trajectory tracking control as the final part of the motion planning system indicate that the heavy articulated vehicle can be guided according to the new automated motion planning.

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Section: Control System Designmentioning

confidence: 99%

“…Here the second independent equation can be obtained by adding equations (34), (35), and À L ct þ L fs À Á Â equation ð33Þ as presented in equation (37).…”

Section: Control System Designmentioning

confidence: 99%

A new automated motion planning system of heavy accelerating articulated vehicle in a real road traffic scenario

Shojaei

Hanzaki

Azadi

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part K:

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“…Due to the high risks of heavy truck rollovers when curve speed selections were inappropriate, some researchers presented the rollover warning concept based on road infrastructure. 10,11 In this concept, some roadside sensors were deployed to detect some characteristics of heavy vehicles like weight, height, and speed, which were combined with road geometrics for predicting the critical speed induced rollovers before vehicles entering upcoming curves. Due to the inaccurate parameters such as vehicle load and load distributions, it is difficult to determine accurate rollover threshold limits, which led to false alarms and loss of drivers’ confidence in this system.…”

Section: Introductionmentioning

confidence: 99%

Coupling effect modeling of driver vehicle environment factors influencing speed selections in curves

Yang

Chu

Wang

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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It is of significant importance to select an appropriate speed for a vehicle to drive through an upcoming curve. Previous studies have mainly taken into account the vehicle–road interaction, which lacks quantitative analysis of drivers’ driving behavior related to curve speed selections. In this study, a curve speed model derived from the vehicle–road coupling effect analysis is combined with drivers’ driving styles which are classified into aggressive and moderate styles. Moreover, a driver behavior questionnaire based analysis is carried out for quantitative identification of the above two groups of drivers, compared with the traditional vehicle-motion-indexed classification of driving styles. Unlike previous curve speed models, the proposed model not only takes the vehicle–road coupling effect into consideration, but also introduces a driving style factor which is quantified with both driver behavior questionnaire analysis and vehicle-motion-indexed classification. The proposed curve speed model was validated with the road test data. It is found that the proposed curve speed model considering both the vehicle–road interaction and drivers’ driving styles could effectively guarantee traffic safety and riding comfort in sharp curves.

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“…Active safety research on engineering vehicles can draw on the development process as well as the outcome of automotive active safety technology. Automotive active safety technology research has focused on two aspects: rollover warning technology [2][3][4][5] and the active anti-rollover control method. [6][7][8][9][10][11][12][13] Earlyrollover-warning algorithms complete the rollover warning by comparing the roll angle and the lateral acceleration of the vehicle with the threshold values.…”

Section: Introductionmentioning

confidence: 99%

“…Baker et al 5 preferred to use rollover warning systems which employed information on the mass to speed-based rollover warning systems as the basis of their study. Chen and Peng 8,9 proposed a dynamic rollover warning algorithm based on the time-to-rollover (TTR) metric.…”

Section: Introductionmentioning

confidence: 99%

Dynamic simulation for the rollover stability performances of articulated vehicles

Yao

Wang

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper describes a dynamic model with four degrees of freedom for simulating the rollover stability performances of articulated loaders. The dynamic model considers three translational degrees of freedom and a rotational degree of freedom about the tilting axis and was verified by field experiments and virtual prototype experiments. The field experiments using a scaled articulated loader are detailed, and the experimental data of the lateral load transfer ratio, the lateral acceleration and the roll angle of the vehicle are provided for classification at different speeds and different turning radii. The virtual prototype experiments are modelled on the experimental model as well as the simulation conditions. Comparing the experimental data with the theoretical data shows that the dynamics model is reasonable and that the virtual prototype simulation can be used instead of the field experiments to improve the security of active safety technology development.

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Effectiveness of Truck Rollover Warning Systems

Cited by 8 publications

References 0 publications

A new automated motion planning system of heavy accelerating articulated vehicle in a real road traffic scenario

A new automated motion planning system of heavy accelerating articulated vehicle in a real road traffic scenario

Coupling effect modeling of driver vehicle environment factors influencing speed selections in curves

Dynamic simulation for the rollover stability performances of articulated vehicles

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