Connected Vehicle Infrastructure University Transportation Center
A fundamental role of transportation agencies is to effectively manage the enormous public investment in pavement. This ranges from developing strategies and systems to periodically assess pavement condition and develop maintenance plans to maximize pavement life within limited budgets, to making tactical decisions regarding treatment during adverse weather conditions to keep roadways functional. A fundamental requirement in this management activity is to collect data to assess the condition of the pavement. The current state-of-the-practice in pavement condition data collection is to use specialized sensors and equipment to support this activity. This represents a significant cost burden on agencies, and also this technical approach to data collection scales poorly. In other words, given the need for specialized equipment and sensors, it is very difficult to collect data at more locations in a timely, cost effective manner. A potential advantage offered by connected vehicles is that this program promises to closely tie the infrastructure to the vast vehicle fleet using the infrastructure. Given the large set of sophisticated sensors integrated in modern vehicles, it is possible that these vehicular sensors may be used as a means to assess pavement conditions. In other words, the entire vehicle fleet can be transformed into probes measuring pavement conditions at all locations in frequent time intervals. The purpose of this collaborative research program between Virginia Tech and the University of Virginia is to conduct the applied research necessary to investigate the feasibility of this concept through component and system prototyping and testing on the Virginia Connected Vehicle UTC testbed. To provide a specific focus to the research program, the work will address 2 specific pavement applications: roughness measurement and friction assessment during snow and rain.
Zeng, H., Park, H., & Smith, B.L. (2016). Investigating the Impact of Vehicle Dynamic Systems on a Connected Vehicle Enabled Pavement Roughness Estimation. In review for publication in the ASCE Journal of Infrastructure Systems.
Zeng, H., Park, H., & Smith, B.L. (2016, January). An Improved Acceleration-Based Metric Incorporating Vehicle Dynamic Systems for Pavement Roughness Estimation. Published within the proceedings of the 95th Annual Meeting of the Transportation Research Board. Washington, D.C.
Zeng, H., Park, H., Fontaine, D.M., Smith, L.S., & McGhee, K.K. (2015). Identifying Deficient Pavement Sections by Means of an Improved Acceleration-Based Metric. Transportation Research Board: Journal of the Transportation Research Board, No. 2523, Page 133-142.
Zeng, H., Fontaine, M.D., & Smith, B.L. (2014). Estimation of the Safety Effect of Pavement Condition on Rural Two-Lane Highways. Transportation Research Record, No. 2435, Page 45-52.
Zeng, H., Fontaine, M.D., & Smith, B.L. (2014). Estimation of the Safety Effect of Pavement Condition on Rural Two-Lane Highways. Published within the proceedings of the 93rd Annual Meeting of the Transportation Research Board. Washington, D.C.
Katicha, S.W., Flintsch, G.W., and Fuentes, L. (2014), “Use of probe vehicles to measure road ride quality,” Published within the proceedings of the 93rd Transportation Research Board Meeting, Paper No. 14-2836, 93rd Annual Meeting of the Transportation Research Board, Jan 12-16, 2014, Washington, DC.
Zeng, H., Park, H., & Smith, B.L. (2016, January). An Improved Acceleration-Based Metric Incorporating Vehicle Dynamic Systems for Pavement Roughness Estimation. Presented at the 95th Annual Meeting of the Transportation Research Board. Washington, D.C.
Zeng, H., Smith, L.B., & Park, H. (2015, November). Monitoring Pavement Conditions Using a Connected Vehicle-enabled Application. Poster presented at Connected and Automated Vehicles: the 9th University Transportation Centers Spotlight Conference, Washington, DC.
Zeng, H., Fontaine, M.D., & Smith, B.L. (2014). Estimation of the Safety Effect of Pavement Condition on Rural Two-Lane Highways. Presented at the 93rd Annual Meeting of the Transportation Research Board. Washington, D.C.
Katicha, S.W., Flintsch, G.W., and Fuentes, L. (2014), “Use of probe vehicles to measure road ride quality,” Presented at the 93rd Transportation Research Board Meeting, Paper No. 14-2836, 93rd Annual Meeting of the Transportation Research Board, Jan 12-16, 2014, Washington, DC.
St. Louis, A., Flintsch, G. “An Evaluation of the AMES Profiler with Ro-Line Laser Sensor for the Measurement of Pavement Profile.” Summer VT Undergraduate Research Conference, July 2014, Blacksburg, VA.
Start date: 2012/9/1
End date: 2013/8/30
Status: Active
Contract/Grant Number: 0031370150000
Secondary Number: 54-6001805
Total Dollars: $199,466.85
Source Organization: Virginia Polytechnic Institute and State University, Blacksburg
Date Added: 08/20/2012
Research and Innovative Technology Administration
University Transportation Centers Program
Department of Transportation
1200 New Jersey Avenue, SE
Washington, DC 20590
USA
Harwood, Leslie
Phone: 540-231-9530
Email: lharwood@vtti.vt.edu
Virginia Polytechnic Institute and State University, Blacksburg
Virginia Tech Transportation Institute
3500 Transportation Research Plaza
Blacksburg, Virginia 24061
USA
University of Virginia, Charlottesville
Center for Transportation Studies
P.O. Box 400742, Thornton Hall, D228
Charlottesville, VA 22903
USA
Flintsch, Gerardo
Smith, Brian
Pavements
Safety and Human Factors
Transportation (General)
Environment
RiP URL
Project Poster
TriD Format