A Wireless Accelerometer-Based Automatic Vehicle Classification Prototype System

被引：86

作者：

Ma, Wenteng ^{[1
]}

Xing, Daniel ^{[1
]}

McKee, Adam ^{[1
]}

Bajwa, Ravneet ^{[1
]}

Flores, Christopher ^{[1
]}

Fuller, Brian ^{[1
]}

Varaiya, Pravin ^{[2
]}

机构：

[1] Sensys Networks Inc, Berkeley, CA 94710 USA

[2] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA

来源：

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | 2014年 / 15卷 / 01期

基金：

美国国家科学基金会;

关键词：

Accelerometer; automatic vehicle classification (AVC); axle count; axle spacing; magnetometer; wireless sensor;

D O I：

10.1109/TITS.2013.2273488

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Automatic vehicle classification (AVC) systems provide data about vehicle classes that are used for many purposes. This paper describes a prototype axle count and spacing AVC system using wireless accelerometers and magnetometers. The accelerometers detect vehicle axles, and the magnetometers report vehicle arrivals and departures and estimate speed. The prototype system is installed on Interstate 80 at Pinole, CA, USA, and tested under various traffic conditions. Video images and reports from a nearby commercial weigh-in-motion station provide ground truth to evaluate the performance of the system, including classification, axle spacing, and vehicle counts. The results show that the prototype AVC system is reliable in classifying vehicles even under congested traffic with accuracy of 99%.

引用

页码：104 / 111

页数：8

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