Name
Title | ||
|---|---|---|
Development of a Cost-Effective Wireless Vibration Weigh-In-Motion System to Estimate Axle Weights of Trucks. |
Abstract | ||
|---|---|---|
Truck weight data plays an important role in weight enforcement and pavement condition assessment. This data is primarily obtained through weigh stations and Weigh-In-Motion WIM stations which are currently very expensive to install and maintain. This article presents results of the implementation of an inexpensive wireless sensor-based vibration WIM system. The proposed wireless sensor network WSN consists of acceleration sensors that report pavement vibration; vehicle detection sensors that report a vehicle's arrival and departure times; and an access point AP that synchronizes all the sensors and records the sensor data. The article also describes a new method for speed compensation, an energy-efficient algorithm adaptive sampling method to increase battery life, and a new modeling procedure to estimate gross vehicle weights. The system deployed near a conventional WIM system on I-80W in Pinole, CA passed the accuracy standards for WIM systems and outperformed a nearby commercial WIM station, based on conventional technology. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1111/mice.12269 | Comp.-Aided Civil and Infrastruct. Engineering |
Field | DocType | Volume |
Truck,Automotive engineering,Wireless,Weigh in motion,Simulation,Adaptive sampling,Acceleration,Vibration,Engineering,Axle,Wireless sensor network,Structural engineering | Journal | 32 |
Issue | ISSN | Citations |
6 | 1093-9687 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ravneet Bajwa | 1 | 48 | 4.96 |
| Sinem Erdem Coleri | 2 | 0 | 0.34 |
| Ram Rajagopal | 3 | 375 | 54.06 |
| Pravin Varaiya | 4 | 2543 | 298.93 |
| Christopher Flores | 5 | 34 | 4.61 |