Transportation Big Data: Networked Sensor Data Error Estimation
Reliability of sensor data is highly indispensable in order to obtain high standards of transportation system efficiency, safety and sustainability. By combining statistics and various network modelling techniques, the research aims at solving this question and providing greater modeling flexibility to incorporate spatial correlation of networked data. Finally, the aim is to program an open source software that can be handed to the transportation agencies to apply the research for practical purposes. Prior to creating the mathematical model, however, various challenges are required to be answered, such as spatial correlation of networked data due to underlying principles of traffic flow, measurement errors, and methodology to transfer knowledge to practice. In the project, with the help of statistical approaches, transportation network modeling techniques will be deployed to address new challenges to sensor health monitoring problems.
- Record URL:
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Language
- English
Project
- Status: Completed
- Funding: $61000
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Contract Numbers:
DOT 69A3551747114
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Sponsor Organizations:
University of California, Davis
1 Shields Ave
Davis, California United States 95616National Center for Sustainable Transportation
University of California, Davis
Davis, CA United StatesOffice of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
National Center for Sustainable Transportation
University of California, Davis
Davis, CA United StatesUniversity of California, Davis
1 Shields Ave
Davis, California United States 95616 -
Project Managers:
lacobucci, Lauren
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Performing Organizations:
National Center for Sustainable Transportation
University of California, Davis
Davis, CA United StatesUniversity of California, Davis
1 Shields Ave
Davis, California United States 95616University of California Transportation Center/Institute of Transportation Studies
University of California
Davis, CA United States 95616 -
Principal Investigators:
Maheshwari, Saurabh
- Start Date: 20171001
- Expected Completion Date: 20180930
- Actual Completion Date: 20180930
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Data collection; Data quality; Errors; Network analysis (Planning); Sensors; Software; Spatial analysis; Traffic
- Subject Areas: Data and Information Technology; Planning and Forecasting; Transportation (General);
Filing Info
- Accession Number: 01710457
- Record Type: Research project
- Source Agency: National Center for Sustainable Transportation
- Contract Numbers: DOT 69A3551747114
- Files: UTC, RIP
- Created Date: Jul 8 2019 1:32PM