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Evaluation of Potential ITS Strategies Under Non-Recurrent Congestion Using Microscopic Simulation

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  • Chu, Lianyu
  • Liu, Henry X.
  • Recker, Will
  • Hague, Steve

Abstract

This report presents a micro-simulation method to evaluate potential ITS applications. Based on the commercial PARAMICS model, a capability-enhanced PARAMICS simulation environment has been developed through integrating a number of plug- in modules implemented with Application Programming Interfaces (API). This enhanced PARAMICS simulation can thus have capabilities to model not only the target traffic conditions and operations but also various potential ITS strategies. An evaluation study on the effectiveness of potential ITS strategies under the incident scenarios is conducted over a corridor network located at the city of Irvine, California. The potential ITS strategies include incident management, local adaptive ramp metering, coordinated ramp metering, traveler information systems, and the combination of above. Based on the calibrated simulation model, we implement and evaluate these scenarios. The evaluation results show that all ITS strategies have positive effects on the network performance. Because of the network topology (one major freeway with two parallel arterial streets), real-time traveler information system has the greatest benefits among all single ITS components. The combination of several ITS components, such as the corridor control and the combination scenarios, can generate better benefits.

Suggested Citation

  • Chu, Lianyu & Liu, Henry X. & Recker, Will & Hague, Steve, 2003. "Evaluation of Potential ITS Strategies Under Non-Recurrent Congestion Using Microscopic Simulation," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt74f7f2x0, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt74f7f2x0
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    1. Cascetta, Ennio, 1984. "Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator," Transportation Research Part B: Methodological, Elsevier, vol. 18(4-5), pages 289-299.
    2. Abdulhai, Baher & Sheu, Jiuh-Biing & Recker, Will, 1999. "Simulation of ITS on the Irvine FOT Area Using "Paramics 1.5" Scalable Microscopic Traffic Simulator: Phase I: Model Calibration and Validation," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2ks86938, Institute of Transportation Studies, UC Berkeley.
    3. Ennio Cascetta & Domenico Inaudi & Gérald Marquis, 1993. "Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts," Transportation Science, INFORMS, vol. 27(4), pages 363-373, November.
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    1. Ritchie, Stephen G. & Park, Seri & Oh, Cheol & Jeng, Shin-Ting Cindy & Tok, Andre, 2005. "Anonymous Vehicle Tracking for Real-Time Freeway and Arterial Street Performance Measurement," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt50c6z6zh, Institute of Transportation Studies, UC Berkeley.

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