Y3R5 - Fathoming the Maximum Potential for Freight Sensitive Intersection Control (parallel project with the other one PI-ed by Zhang)

This project parallels the other one submitted at TAMU PI-ed by Professor Zhang that deals with the freight significant corridor traffic control. This one instead fathoms the potential of an individual intersection when freight traffic is present. Freight vehicles have significantly different attributes in kinetic movement, economic values (e.g. value of time) and environmental effect. The two projects enhance each other by deepening understanding of the point and network benefits of intersections, respectively. At a general intersection, how to appropriately and optimally consider freight and passenger vehicles is a problem that has not been addressed well in literature. Current video cameras popularly used for actuated traffic control have the potential to easily differentiate freight vehicles from passenger cars with today’s technology. Video camera can also obtain much real time vehicular information. In such an information driven environment, how to conduct signal control by considering relevant factors such as economic values is an interesting and significant problem. This study will examine the optimal mechanism of the general intersection signal control when a mix of freight and passenger traffic is present. A model and according algorithms will be developed to apply to the general urban intersections. Numerical test via simulation will be conducted to show the benefits of the developed model and algorithms. Discussion with industry will be taken place for inputs and potential application. The goal of this study is to deepen the understanding of the tradeoffs for right of way between the different groups of vehicles and to provide an according mechanism to optimize the signal control

Language

• English

Project

• Status: Active
• Funding: $60000
• Contract Numbers:

  69A3551747120

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Freight Mobility Research Institute

  Florida Atlantic University
  Boca Raton, FL  United States  33431
• Project Managers:

  Stearns, Amy

• Performing Organizations:

  Texas A&M University, College Station

  318 Jack K. Williams Administration Building
  College Station, TX  United States  77843
• Principal Investigators:

  Wang, Bruce

  Zhang, Yulong

• Start Date: 20180212
• Expected Completion Date: 20190322
• Actual Completion Date: 20210727
• USDOT Program: Advanced Research

Subject/Index Terms

• TRT Terms: Freight traffic; Mathematical models; Optimization; Passenger traffic; Right of way (Traffic); Signalization; Signalized intersections
• Subject Areas: Freight Transportation; Highways; Operations and Traffic Management; Passenger Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01777973
• Record Type: Research project
• Source Agency: Freight Mobility Research Institute
• Contract Numbers: 69A3551747120
• Files: UTC, RIP
• Created Date: Jul 27 2021 4:04PM