Adaptive Vehicle Safety and Collision Warning System Using DSRC for Heavy-Duty Vehicle

Collision Avoidance System (CAS) is known as a pre-collision system or a forward collision warning system, and research has first begun as a vehicle safety system. In this paper, we propose an algorithm for collision detection of UAV. The proposed algorithm uses a mathematical method and detects the collision of the UAV by modeling it in a two-dimensional plane. Using the mathematical modeling method, it is possible to determine the collision location of the UAV in advance. Experiments were conducted to measure the performance and accuracy of the proposed algorithm. In the experiment, we proceeded assuming three environments and were able to detect an accurate collision when the UAV moved. By applying the algorithm proposed in the paper to CAS, many collision accidents can be prevented. The proposed algorithm detects collisions through mathematical calculations. In addition, the movement time of the UAV was modeled in a 2D environment to shorten the calculation time.

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KEGAGALAN FUNGSI PENGEREMAN BIS DAN TRUK AKIBAT RUSAKNYA KOMPONEN RAKITAN KAMPAS REM

ROTASI ◽

10.14710/rotasi.17.1.19-28 ◽

2015 ◽

Vol 17 (1) ◽

pp. 19

Author(s):

Dwi Basuki Wibowo ◽

Ismoyo Haryanto

Keyword(s):

Public Transportation ◽

Motor Vehicle ◽

Vehicle Safety ◽

Heavy Duty ◽

Safety Standard ◽

Brake Shoe ◽

Heavy Duty Vehicle ◽

Motor Vehicle Safety

Federal Motor Vehicle Safety Standard (FMVSS) mengklasifikasikan kendaraan bis dan truk (trailer dan container) sebagai heavy duty vehicle dimana rem, kopling, dan ban adalah komponen-komponen yang harus diperiksa secara rutin karena berkaitan dengan keamanan dan umur pemakaiannya yang relatif pendek. Sebagai komponen utama material gesek kampas rem memang harus bagus dan harus lolos serangkaian test sebagaimana diatur dalam berbagai standard yaitu SNI 09-0143-1987, ASTM G0115-04, ASTM D3359-02. Tetapi menurut The American Public Transportation Association (APTA BTS-SS-RP-003-07), kinerja sistim pengereman bis dan truk tidak semata-mata ditentukan oleh kualitas material kampas rem saja tetapi juga oleh kondisi brake shoe dan prosedur pemasangan (rebuild) kampas pada brake shoe. Dari hasil survey banyak pengusaha transportasi bis di Indonesia yang mengabaikan prosedur rebuild kampas rem yang telah distandarkan oleh APTA BTS-SS-RP-003-07 tersebut. Akibatnya kampas rem cepat aus, rem terkunci, dan yang paling parah adalah rem blong (rem tidak berfungsi). Fokus utama penelitian ini adalah mengkaji kemungkinan kerusakan brake shoe assembly (komponen rakitan kampas rem) saat pengereman yang berpotensi menyebabkan terjadinya kegagalan fungsi pengereman pada bis/truk.

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Rollover threshold investigation of a heavy-duty vehicle during cornering based on multi-body dynamics

Advances in Mechanical Engineering ◽

10.1177/1687814018789505 ◽

2018 ◽

Vol 10 (7) ◽

pp. 168781401878950

Author(s):

Xiaotong Dong ◽

Yi Jiang ◽

Zhou Zhong ◽

Wei Zeng

Keyword(s):

Three Dimensional ◽

Warning System ◽

Lateral Acceleration ◽

Transportation Safety ◽

Heavy Duty ◽

Transform Method ◽

Heavy Duty Vehicle ◽

Body Dynamics ◽

Vehicle Test ◽

Multi Body

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.

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Dynamic Recognition of Driver’s Propensity Based on GPS Mobile Sensing Data and Privacy Protection

Mathematical Problems in Engineering ◽

10.1155/2016/1814608 ◽

2016 ◽

Vol 2016 ◽

pp. 1-12 ◽

Cited By ~ 1

Author(s):

Xiaoyuan Wang ◽

Jianqiang Wang ◽

Jinglei Zhang ◽

Jingheng Wang

Keyword(s):

Influence Factor ◽

Warning System ◽

Characteristic Parameter ◽

Vehicle Safety ◽

Support Vector ◽

Collision Warning ◽

Recognition Model ◽

Vehicle Collision ◽

Active Safety Systems ◽

Dynamic Recognition

Driver’s propensity is a dynamic measurement of driver’s emotional preference characteristics in driving process. It is a core parameter to compute driver’s intention and consciousness in safety driving assist system, especially in vehicle collision warning system. It is also an important influence factor to achieve the Driver-Vehicle-Environment Collaborative Wisdom and Control macroscopically. In this paper, dynamic recognition model of driver’s propensity based on support vector machine is established taking the vehicle safety controlled technology and respecting and protecting the driver’s privacy as precondition. The experiment roads travel time obtained through GPS is taken as the characteristic parameter. The sensing information of Driver-Vehicle-Environment was obtained through psychological questionnaire tests, real vehicle experiments, and virtual driving experiments, and the information is used for parameter calibration and validation of the model. Results show that the established recognition model of driver’s propensity is reasonable and feasible, which can achieve the dynamic recognition of driver’s propensity to some extent. The recognition model provides reference and theoretical basis for personalized vehicle active safety systems taking people as center especially for the vehicle safety technology based on the networking.

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