Vehicle’s Weight Estimation Using Smartphone’s Acceleration Data to Control Overloading
Vehicle’s Weight Estimation Using Smartphone’s Acceleration Data to Control Overloading
- Neue Suche nach: Nguyen, Phong X.
- Neue Suche nach: Akiyama, Takayuki
- Neue Suche nach: Ohashi, Hiroki
- Neue Suche nach: Yamamoto, Masaaki
- Neue Suche nach: Sato, Akiko
- Neue Suche nach: Nguyen, Phong X.
- Neue Suche nach: Akiyama, Takayuki
- Neue Suche nach: Ohashi, Hiroki
- Neue Suche nach: Yamamoto, Masaaki
- Neue Suche nach: Sato, Akiko
Abstract We propose an overloading control system with a novel method to estimate vehicle weight using the sensor data from a smartphone mounted on the vehicle. The conventional method based on fixed weigh stations has limited coverage, and is expensive to install and maintain. Our proposed system overcomes these limitations by using smartphones, which are portable and cheaper. A multiple linear regression model is created using vertical acceleration statistical features and loading status classification as explanatory variables to estimate the vehicle’s weight. A pilot experiment estimating a trolley’s weight was followed by an experiment estimating an actual vehicle’s weight to verify the feasibility of using our method. We achieved average error of 593 kg, which accounted for 5.89% of the true average vehicle’s weight.
Dokumentinformationen
Vehicle’s Weight Estimation Using Smartphone’s Acceleration Data to Control Overloading
International Journal of Intelligent Transportation Systems Research ; 16 , 3 ; 151-162
2017-07-07
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Overloading control , Smartphone , Vehicle’s weight estimation , Classification , Multiple linear regression Engineering , Electrical Engineering , Automotive Engineering , Robotics and Automation , Computer Imaging, Vision, Pattern Recognition and Graphics , Civil Engineering , User Interfaces and Human Computer Interaction
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