Project Summary
The extent and severity of traffic and environment impacts of commercial vehicles is currently not well understood due to the lack of an advanced surveillance system that provides necessary information about the nature and variation of their travel behavior. This is particularly important in considering the impacts of major investments in trade national corridor improvements, including access and egress for the Ports of Long Beach and Los Angeles. This research study will develop a new commercial vehicle vector classification system based on a prototype implementation of a new high-fidelity inductive loop sensor that is relatively easy to install and has the potential to yield highly detailed vehicle inductive signatures. This new classification system will provide an unprecedented level of detail on commercial vehicles. The initial results show the potential of using such an inductive sensor to provide a more comprehensive commercial vehicle data profile based on its ability to extract both axle configuration information as well as high fidelity undercarriage profiles within a single sensor technology.
