LIDAR Based Vehicle Classification

The proposed research will continue investigation into the use of LIDAR (Light Detection And Ranging) sensors to scan vehicles passing at speed and develop the necessary algorithms to classify the vehicles accurately. Both probe vehicle mounted LIDAR and wayside mounted LIDAR deployments will be considered. A van instrumented with a pair of LIDAR sensors that sweep vertically across the road in a "speed-trap" configuration will be employed. The probe vehicle based classification data will be collected while the van is driving on pre-defined tours while the wayside mounted classification data will be collected while the van is parked at the study location to collect data over several hours. This proposal picks up where the earlier studies leave off advancing the work on the following fronts: shape based classification, developing the LIDAR classification over a wider range of Federal Highway Administration (FHWA) axle classes, improving occlusion reasoning, and axle detection and inference. LIDAR based classification is a promising alternative to supplement existing classification stations. Such an installation could be permanent or temporary, would cost significantly less than a comparable in-pavement system, and will require significantly less setup in the field. Compared to conventional sensors, the LIDAR collect much more information about the passing vehicles. The mobile, probe vehicle mounted LIDAR promises to provide lower resolution information on many more links than are currently available from the fixed classification stations. Such information will help detect problem spots earlier and validate assumptions of transferability of measurements from the fixed locations to other parts of the network.

Language

• English

Project

• Status: Completed
• Funding: $64683.00
• Contract Numbers:

  DTRT06

• Sponsor Organizations:

  Ohio Transportation Consortium

  University of Akron
  Akron, OH  United States  44325-4702
• Performing Organizations:

  Ohio State University, Columbus

  Department of Civil Engineering
  Hitchcock Hall 470
  Columbus, OH  United States  43210
• Principal Investigators:

  Coifman, Benjamin

• Start Date: 20101001
• Expected Completion Date: 0
• Actual Completion Date: 20110930
• Source Data: RiP Project 26993

Subject/Index Terms

• TRT Terms: Algorithms; Laser radar; Probe vehicles; Sensors; Speed detectors; Traffic speed; Vehicle classification
• Uncontrolled Terms: Wayside detection systems
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01478690
• Record Type: Research project
• Source Agency: Ohio Transportation Consortium
• Contract Numbers: DTRT06
• Files: UTC, RiP
• Created Date: Apr 18 2013 1:00AM