In-pavement wireless Weigh-In-Motion

Ravneet Bajwa, R. Rajagopal, Erdem Coleri, P. Varaiya, Christopher Flores
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引用次数: 25

Abstract

Truck weight data is used in many areas of transportation such as weight enforcement and pavement condition assessment. This paper describes a wireless sensor network (WSN) that estimates the weight of moving vehicles from pavement vibrations caused by vehicular motion. The 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 paper also describes a novel algorithm that estimates a vehicle's weight from pavement vibration and vehicle detection data, and calculates pavement deflection in the process. A prototype of the system has been deployed near a conventional Weigh-In-Motion (WIM) system on I-80 W in Pinole, CA. Weights of 52 trucks at different speeds and loads were estimated by the system under different pavement temperatures and varying environmental conditions, adding to the challenges the system must overcome. The error in load estimates was less than 10% for gross weight and 15% for individual axle weights. Different states have different requirements for WIM but the system described here outperformed the nearby conventional WIM, and meets commonly used standards in United States. The system also opens up exciting new opportunities for WSNs in pavement engineering and intelligent transportation.
路面无线动态称重
卡车重量数据用于许多运输领域,如重量执行和路面状况评估。本文描述了一种无线传感器网络(WSN),该网络通过车辆运动引起的路面振动来估计移动车辆的重量。无线传感器网络包括:报告路面振动的加速度传感器;报告车辆到达和离开时间的车辆检测传感器;以及使所有传感器同步并记录传感器数据的接入点(AP)。本文还介绍了一种基于路面振动和车辆检测数据估计车辆重量的新算法,并在此过程中计算路面挠度。该系统的原型已经部署在加利福尼亚州皮诺莱I-80 W公路上的传统动态称重(WIM)系统附近。系统在不同的路面温度和不同的环境条件下,估计了52辆卡车在不同速度和负载下的重量,增加了系统必须克服的挑战。在负荷估计误差小于10%的总重量和15%的单个轴重量。不同的州对WIM有不同的要求,但这里描述的系统优于附近的传统WIM,并且符合美国常用的标准。该系统也为无线传感器网络在路面工程和智能交通领域开辟了令人兴奋的新机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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