0
Journal of Dynamic Systems, Measurement, and Control | Volume 127 | Issue 3 | TECHNICAL PAPERS
TECHNICAL PAPERS

Rollover Warning for Articulated Heavy Vehicles Based on a Time-to-Rollover Metric

[+] Author and Article Information
Bo-Chiuan Chen

Department of Vehicle Engineering,  National Taipei University of Technology, Taipei 106, Taiwanbochen@ntut.edu.tw

Huei Peng

Department of Mechanical Engineering,  University of Michigan, Ann Arbor, MI 48109-2133hpeng@umich.edu

J. Dyn. Sys., Meas., Control 127(3), 406-414 (Oct 19, 2004) (9 pages) doi:10.1115/1.1988340 History: Received July 15, 2003; Revised October 19, 2004
Article
References
Figures
Tables
Citing Articles

A Time-To-Rollover (TTR) metric is proposed as the basis to assess rollover threat for an articulated heavy vehicle. The TTR metric accurately “counts-down” toward rollover regardless of vehicle speed and steering patterns, so that the level of rollover threat is accurately assessed. There are two conflicting requirements in the implementation of TTR. On the one hand, a model significantly faster than real-time is needed. On the other hand, the TTR predicted by this model needs to be accurate enough under all driving scenarios. An innovative approach is proposed in this paper to solve this dilemma and the design process is illustrated in an example. First, a simple yet reasonably accurate yaw∕roll model is identified. A Neural Network (NN) is then developed to mitigate the accuracy problem of this simple model. The NN takes the TTR generated by the simple model, vehicle roll angle, and change of roll angle to generate an enhanced NN-TTR index. The NN was trained and verified under a variety of driving patterns. It was found that an accurate TTR is achieved across all the driving scenarios we tested.
Copyright © 2005 by American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
+Definition of TTR
View Large  |  Save Figure  |  Download Slide (.ppt)
Definition of TTR
Figure 1

Definition of TTR

Grahic Jump Location
+Flow chart for the TTR calculation
View Large  |  Save Figure  |  Download Slide (.ppt)
Flow chart for the TTR calculation
Figure 2

Flow chart for the TTR calculation

Grahic Jump Location
+Structure of the neural network
View Large  |  Save Figure  |  Download Slide (.ppt)
Structure of the neural network
Figure 3

Structure of the neural network

Grahic Jump Location
+Severity of the NN training maneuvers
View Large  |  Save Figure  |  Download Slide (.ppt)
Severity of the NN training maneuvers
Figure 4

Severity of the NN training maneuvers

Grahic Jump Location
+SGUI of ARCSIM
View Large  |  Save Figure  |  Download Slide (.ppt)
SGUI of ARCSIM
Figure 5

SGUI of ARCSIM

Grahic Jump Location
+Structure of the simple decoupled yaw-roll model
View Large  |  Save Figure  |  Download Slide (.ppt)
Structure of the simple decoupled yaw-roll model
Figure 6

Structure of the simple decoupled yaw-roll model

Grahic Jump Location
+Configuration of the four simple roll models
View Large  |  Save Figure  |  Download Slide (.ppt)
Configuration of the four simple roll models
Figure 7

Configuration of the four simple roll models

Grahic Jump Location
+Bicycle-towing-unicycle yaw model of an articulated heavy truck
View Large  |  Save Figure  |  Download Slide (.ppt)
Bicycle-towing-unicycle yaw model of an articulated heavy truck
Figure 8

Bicycle-towing-unicycle yaw model of an articulated heavy truck

Grahic Jump Location
+ARCSIM and simple model response under an obstacle avoidance maneuver
View Large  |  Save Figure  |  Download Slide (.ppt)
ARCSIM and simple model response under an obstacle avoidance maneuver
Figure 9

ARCSIM and simple model response under an obstacle avoidance maneuver

Grahic Jump Location
+Four types of maneuvers
View Large  |  Save Figure  |  Download Slide (.ppt)
Four types of maneuvers
Figure 10

Four types of maneuvers

Grahic Jump Location
+Block diagram of the driver model
View Large  |  Save Figure  |  Download Slide (.ppt)
Block diagram of the driver model
Figure 11

Block diagram of the driver model

Grahic Jump Location
+Simple TTRs and ARCSIM TTR
View Large  |  Save Figure  |  Download Slide (.ppt)
Simple TTRs and ARCSIM TTR
Figure 12

Simple TTRs and ARCSIM TTR

Grahic Jump Location
+ARCSIM responses under the obstacle avoidance maneuver
View Large  |  Save Figure  |  Download Slide (.ppt)
ARCSIM responses under the obstacle avoidance maneuver
Figure 13

ARCSIM responses under the obstacle avoidance maneuver

Grahic Jump Location
+NN-TTR results without worst-case training scenario
View Large  |  Save Figure  |  Download Slide (.ppt)
NN-TTR results without worst-case training scenario
Figure 14

NN-TTR results without worst-case training scenario

Grahic Jump Location
+NN-TTR results with and without worst-case training scenario
View Large  |  Save Figure  |  Download Slide (.ppt)
NN-TTR results with and without worst-case training scenario
Figure 15

NN-TTR results with and without worst-case training scenario

Grahic Jump Location
+Free body diagram of the tractor unsprung mass
View Large  |  Save Figure  |  Download Slide (.ppt)
Free body diagram of the tractor unsprung mass
Figure 16

Free body diagram of the tractor unsprung mass

Grahic Jump Location
+Free body diagram of the tractor sprung mass
View Large  |  Save Figure  |  Download Slide (.ppt)
Free body diagram of the tractor sprung mass
Figure 17

Free body diagram of the tractor sprung mass

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In