A Real-Time Rollover Warning System for Heavy Duty Vehicle

Author(s):  
Zhu Tianjun ◽  
Zong Changfu
2017 ◽  
Author(s):  
Songyao Zhou ◽  
Gangfeng Tan ◽  
Kangping Ji ◽  
Renjie Zhou ◽  
Hao Liu

2021 ◽  
Author(s):  
Hongyan Zhang ◽  
Haotian Hu ◽  
Mingxi Zhang ◽  
Song Du ◽  
Qi Cui ◽  
...  

2017 ◽  
Vol 46 (1) ◽  
pp. 11 ◽  
Author(s):  
András Mihály ◽  
Balázs Németh ◽  
Péter Gáspár

The paper introduces a hardware-in-the-loop (HIL) vehicle simulator built for testing and tuning a look-ahead cruise control algorithm considering forward road conditions. The aim of the vehicle simulator, apart from conducting real-time demonstrations and tests, is to create a HIL architecture which can be directly applied to a real heavy-duty vehicle formerly represented in TruckSim. By this means, several otherwise expensive road tests can be implemented with the simulator to increase the efficiency and reliability of the developed look-ahead control method.


2018 ◽  
Vol 10 (7) ◽  
pp. 168781401878950
Author(s):  
Xiaotong Dong ◽  
Yi Jiang ◽  
Zhou Zhong ◽  
Wei Zeng

The objective of this article is to investigate the rollover threshold of a heavy-duty vehicle during cornering. Based on the multi-body dynamics theory, a high-fidelity model is established, which takes account of the chassis flexibility, the suspension nonlinear characteristics, the tire handling model, and Ackermann steering strategy. Furthermore, by the inverse fast Fourier transform method, a three-dimensional stochastic road in space domain is employed in the model to improve the accuracy. A full-size heavy-duty vehicle test was carried out to validate the model. Based on the validated model, the rollover stability and rollover threshold of the heavy-duty vehicle during cornering are investigated. Lateral acceleration, yaw rate, roll angle, and vehicle torsional deflection in different cornering conditions are analyzed. The rollover threshold is summarized by the response surface methodology for the safe cornering purpose. The result shows the practical meaning of improving transportation safety of heavy-duty vehicles and also provides useful insights for developing the rollover warning system.


Author(s):  
Jun-hua Chen ◽  
Da-hu Wang ◽  
Cun-yuan Sun

Objective: This study focused on the application of wearable technology in the safety monitoring and early warning for subway construction workers. Methods: With the help of real-time video surveillance and RFID positioning which was applied in the construction has realized the real-time monitoring and early warning of on-site construction to a certain extent, but there are still some problems. Real-time video surveillance technology relies on monitoring equipment, while the location of the equipment is fixed, so it is difficult to meet the full coverage of the construction site. However, wearable technologies can solve this problem, they have outstanding performance in collecting workers’ information, especially physiological state data and positioning data. Meanwhile, wearable technology has no impact on work and is not subject to the inference of dynamic environment. Results and conclusion: The first time the system applied to subway construction was a great success. During the construction of the station, the number of occurrences of safety warnings was 43 times, but the number of occurrences of safety accidents was 0, which showed that the safety monitoring and early warning system played a significant role and worked out perfectly.


Empirica ◽  
2012 ◽  
Vol 39 (2) ◽  
pp. 261-278 ◽  
Author(s):  
Karl W. Steininger ◽  
Christoph Schmid ◽  
Alexandra Tobin

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