Sustainability Assessment of Cooperative Vehicle Intersection Control at Urban Intersections with Low Volume Condition

  • Byungkyu Brain Park
  • Kristin Malakorn
  • Joyoung Lee
  • Jaehyun Jason So


In this study, sustainability of the cooperative vehicle intersection control (CVIC) algorithm realizing wireless communications between vehicles, and between vehicles and infrastructure at urban signalized intersections was assessed. In addition, its performance was compared with an actuated control (AC) developed by the state of the practice program, Synchro, based on a microscopic traffic simulation model, VISSIM, at a low volume condition scenario. The simulation results indicated that the CVIC algorithm significantly improved vehicular delay, fuel consumption and emissions, when compared to those of Synchro.


Fuel Consumption Sustainability Assessment Total Travel Time Actuate Control Dedicated Short Range Communication 
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  1. 1.
    Lee, J., Park, B.: Development and Evaluation of a Cooperative Vehicle Intersection Control Algorithm under the Connected Vehicles Environment. IEEE Transactions on Intelligent Transportation Systems (in press)Google Scholar
  2. 2.
    PTV America. VISSIM Traffic Simulation, Version 5.10 (2009)Google Scholar
  3. 3.
    Rakha, H., Ahn, K., Trani, A.: The VT-Micro Framework for Modeling of Hot Stabilized Light Duty Vehicle and Truck Emissions. Transportation Research, Part D: Transport & Environment 9(1), 49–74Google Scholar
  4. 4.
    Husch, D., Albeck, J.: SYNCHRO 6 User Guide. Trafficware (2004)Google Scholar
  5. 5.
    US EPA, Motor Vehicle Emission Simulator (MOVES) , (last accessed on November 24, 2011)
  6. 6.
    Son, H., Kweon, Y., Park, B.: Development of Crash Prediction Models with Individual Vehicular Data. Journal of Transportation Research, Part C 19, 1353–1363 (2011)CrossRefGoogle Scholar
  7. 7.
    Park, B., Chen, Y., Hourdos, J.: Opportunities for Preventing Rear-End Crashes: Findings from the Analysis of Actual Freeway Crash Data. Journal of Transportation Safety & Security 3(2), 95–107 (2011)CrossRefGoogle Scholar
  8. 8.
    Park, B., Yun, I., Ahn, K.: Stochastic Optimization for Sustainable Traffic Signal Control. International Journal of Sustainable Transportation 3, 263–284 (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Byungkyu Brain Park
    • 1
    • 2
  • Kristin Malakorn
    • 3
  • Joyoung Lee
    • 1
  • Jaehyun Jason So
    • 1
  1. 1.Center for Transportation StudiesUniversity of VirginiaCharlottesvilleUSA
  2. 2.Information and Communication EngineeringDaegu Gyeongbuk Institute of Science and TechnologyDaeguSouth Korea
  3. 3.Vanasse Hangen Brustlin (VHB) Inc.WatertownUSA

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