Project Number:
07-04
Research Project:
Sensornets for Remote Vehicle Classification (SRVC)
P.I. Name & Address:
Dr. John Heidemann
USC Information Sciences Institute
4676 Admiralty Way, Suite 1001
Marina del Rey, CA 90292
E-mail johnh@isi.edu
Website: http://www.isi.edu/~johnh/ABOUT/index.html
Phone (310) 448-8708
Fax (310) 823-6714
Project Objective:
The motivation for this work is the need for short-term data collection about freight traffic movement in urban areas. Applications for CALTRANS and METRANS include (1) monitoring truck traffic to estimate diesel pollution around port or distribution facilities, and (2) collection of traffic data to improve traffic models. We seek to develop automated vehicle classification systems based on networks of small, battery-powered and wireless, intelligent sensors that can be easily deployed with brief setup time (tens of minutes), with accurate vehicle information (as good as or better than human observers), and communicate this information to a central monitoring site. Current approaches are not rapidly deployable, accurate enough, and lack the ability to relay data in real-time to central site. The main new research challenges addressed in this proposed work are understanding the communications requirements for traffic monitoring systems (both short-range wireless inside a traffic sensornet, and wide-area to a central Traffic Management System), developing self-configuring traffic monitoring systems, and integrating prior work with these new results.
Task Descriptions:
Year 1:
- First round integration: assemble loop sensors, detector cards, radios attached to laptop computers
- Integrate software for signal processing and vehicle classification to run on stand-alone laptop, unattended
- Develop and test automatic configuration
- Local data collection at ISI parking lot: test for extended period, 24 hours; match data to parking lot occupancy; collect video data to provide ground truth
- Get permission and/or identify partner for year 2 field experiment
Year 2:
- Integrate sensors with WAN communication system, demonstrate the we can deliver data to Internet and potentially a TMS
- Data collection experiment in port area (if possible to team with other group, and if can get permission) or near 710 freeway (pending permission)
- Potentially do data collection in LA-area test bed, or in Irvine test bed; key requirement is arterial
Milestones/Dates:
September 1, 2006 – August 31, 2008
Total Budget:
$179,011
Student Involvement:
One Student @ 100% effort, 6 months
One Student @ 100% effort, 9 months
Relationship to Other Research Projects:
Related to 00-15, 01-05, 03-01, 03-07; part of goods movement and international trade focus area
Technology Transfer Activities:
Project report posted on the website
Potential Benefits of the Project:
More efficient goods movement and vehicle routing; reduced truck traffic
TRB Keywords:
Traffic monitoring, traffic reduction
Primary Subject:
4b.2 Transportation and logistics system operations and management
Goals:
4c.3 Economic growth and trade
Enabling Research:
4c.10 Sensing and measurement
Modal Orientation:
4c.13 Highway
