DocumentCode :
3517067
Title :
In-pavement wireless Weigh-In-Motion
Author :
Bajwa, Ravneet ; Rajagopal, Ram ; Coleri, Erdem ; Varaiya, Pravin ; Flores, Christopher
Author_Institution :
Sensys Networks, Inc., Berkeley, CA, USA
fYear :
2013
fDate :
8-11 April 2013
Firstpage :
103
Lastpage :
114
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.
Keywords :
acceleration measurement; intelligent transportation systems; vibration measurement; vibrations; weighing; wireless sensor networks; acceleration sensors; in-pavement wireless weigh-in-motion; intelligent transportation; moving vehicle weight estimation; pavement engineering; pavement vibrations; vehicle arrival times; vehicle departure times; vehicle detection sensors; vehicular motion; wireless sensor network; Axles; Magnetic sensors; Synchronization; Vehicles; Vibrations; Wireless sensor networks; Weigh-In-Motion (WIM); accelerometers; pavement deflection; pavement vibrations; pavement-vehicle interaction model; real-time pavement monitoring; structural health monitoring; traffic monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing in Sensor Networks (IPSN), 2013 ACM/IEEE International Conference on
Conference_Location :
Philadelphia, PA
Type :
conf
DOI :
10.1109/IPSN.2013.6917573
Filename :
6917573
Link To Document :
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