Evaluating and Calibrating Emission Impacts of Traffic Management Strategies through Simplified Emission Estimation Model and Mesoscopic Dynamic Traffic Simulators

Dr. Xuesong Zhou from Arizona State University will work closely with Dr. Nagui Rouphail and Dr. Chris Frey from North Carolina State University in this project. This research will use a multi-scale agent-based dynamic traffic assignment methodology (DTALite + MoveLite) to simulate possible time-varying traffic flow patterns within a network and accurately estimate the individual and total system cost in a transportation network. Drs. Zhou, Rouphail and Frey have been testing the integration of DTALite and MoveLite in small-scale test network, and this research will focus on the detailed evaluation of different traffic management strategies and systematical calibration of various traffic simulation parameters to improve the accuracy of emission impact estimation results, for medium and large scale networks. In this research, the plan is to address the following two theoretical challenges for enabling internally consistent cross-resolution traffic emission and fuel consumption representation and traffic simulation in large. (1) How to establish a cross-resolution linkage between traffic modeling environments and emission models at various spatial and temporal scales? (2) How to properly calibrate the underlying traffic mobility simulation models that can rapidly supply individual vehicle trajectory over the network while providing accurate emission estimation results for space-time prisms? (3) How does variability in day-to-day traveler activity and stochasticity in transportation supply measures (e.g. incidents and road construction) contribute to the uncertainty in the network-wide emission estimates? A number of large-scale traffic networks will be used in the network capacity assessment of this project. The following (partial) list shows a number of network data sets which are currently available in the open-source traffic simulation format maintained by Dr. Zhou's research group and accessible to the Univ. of Utah team. (1) Phoenix metropolitan regional network, AZ (2) Research Triangle corridor network, NC (3) Salt Lake City Metropolitan network, UT (4) Portland metropolitan network, OR

• Record URL:
  http://ntc.umd.edu/node/53

Language

• English

Project

• Status: Completed
• Funding: $80000.00
• Contract Numbers:

  DTRT13-G-UTC30

• Sponsor Organizations:

  National Transportation Center @ Maryland

  1173 Glenn L. Martin Hall
  University of Maryland
  College Park, Maryland  United States  20742
• Project Managers:

  Zhang, Lei

• Performing Organizations:

  Arizona State University, Tempe

  Tempe, AZ  United States 
• Principal Investigators:

  Zhou, Xuesong

• Start Date: 20140501
• Expected Completion Date: 0
• Actual Completion Date: 20150831
• Source Data: RiP Project 37166

Subject/Index Terms

• TRT Terms: Calibration; Dynamic traffic assignment; Highway traffic control; Mobility; Pollutants; Traffic data; Traffic simulation; Uncertainty
• Uncontrolled Terms: Transportation networks
• Geographic Terms: Phoenix Metropolitan Area; Portland Metropolitan Area (Oregon); Research Triangle Park (North Carolina); Salt Lake City Metropolitan Area
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I15: Environment;

Filing Info

• Accession Number: 01590798
• Record Type: Research project
• Source Agency: National Transportation Center @ Maryland
• Contract Numbers: DTRT13-G-UTC30
• Files: UTC, RIP
• Created Date: Feb 23 2016 1:00AM