Reconstructing Fundamental Diagrams of Heterogeneous Traffic from Trajectory Data
This research will focus on reconstructing fundamental diagrams of heterogeneous traffic from trajectory data. The NGSIM data is the basis of the study, and some filtering methods are applied to look at the traffic states that sustain a period of time. Specifically, the researchers focus on the auto and truck data, considering four vehicle-following types: auto following auto, auto following truck, truck following auto, and truck following truck. The speed-density relations under the four categories are plotted using kernel smoothing regressions. There are some interesting findings and potential issues with the data, and the researchers are working on further checking the data and deriving some useful criteria to filter stable states.
- Record URL:
Language
- English
Project
- Status: Active
- Funding: $15333
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Contract Numbers:
DOT 69A3551747114
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Sponsor Organizations:
National Center for Sustainable Transportation
University of California, Davis
Davis, CA United StatesUniversity of California, Davis
1 Shields Ave
Davis, California United States 95616Office 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:
Iacobucci, 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 95616 -
Principal Investigators:
Chen, Di
- Start Date: 20201001
- Expected Completion Date: 20230930
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Automobiles; Car following; Regression analysis; Traffic density; Traffic simulation; Traffic speed; Trajectory; Trucks
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01778675
- Record Type: Research project
- Source Agency: National Center for Sustainable Transportation
- Contract Numbers: DOT 69A3551747114
- Files: UTC, RIP
- Created Date: Aug 4 2021 2:34PM