Implementation of Weigh-in-Motion (WIM) Systems

Download Final Report

CAIT project no.: 92 RUxxx

Fiscal Year: 1998/1999

Status: Final

Rutgers-CAIT Author(s): Ali Maher

External Author(s): Nicholas Vitillo

Sponsor(s): NJDOT


This research finished the development and implementation of a novel and durable, higher voltage, and lower temperature dependant weigh-in-motion (WIM) sensor that was begun under an earlier research project. These better sensors will require fewer lane closings and replacements than the existing sensors. They will also aid the Departments of Transportation to better identify those vehicles, which use the nations major highways, that do not comply with the current weight restrictions that are placed on larger vehicles.

The primary focus of the research was to create a full scale WIM sensor that is less temperature dependent and more durable than traditional WIM sensors. Traditionally, the data collected from the sensor may be utilized in two ways. The first is by using static vehicle effects on the sensor, which corresponds to the weight of the vehicle, this data can be used for enforcement of the vehicle legal weight limits. The second is by using the dynamic loading of the sensor, which relates to the actual loading that the roadway is experiencing, this data will be useful to engineers who must design the roadway as well as plan for repair schedules. However, there is a growing trend to broaden the use of WIM data and use the data to its fullest extent. Instead of just using WIM data to screen commercial vehicles or for pavement design; there is a new recognition that good data can be useful for bridge structural analysis, safety analysis, traffic control and operations, freight management and operations, facility planning and programming, and standards and policy enforcement as per the recent report “Effective Use of Weigh-in-Motion Data, the Netherlands Case Study” FHWA October 2007. In lieu of this development, the need for better sensors to provide good data is more important today than ever before.