Assessment of the Impact of Dynamic Prediction-Based Route Guidance Using Simulation-Based, Closed-Loop Framework

摘要: The objective of this paper is to present and validate a closed-loop framework for the evaluation impact predictive route guidance in case severe incidents. presented has been implemented through integration two state-of-the-art tools: microscopic traffic simulation laboratory MITSIMLab (which represents "ground-truth" real network conditions) dynamic assignment system DynaMIT acts as Traffic Management Center generates consistent guidance). Drivers can thus make informed decisions about their choice when they receive information Variable Message Signs (VMS). was evaluated using developed lower Westchester County just north New York City. large-scale nature application provides unique environment real-world validation framework. Two alternative scenarios were modeled, each involving one hour-long incident with full blockage on all lanes peak direction. selected incidents are representative frequent closures bottlenecks that occur network, both terms severity location. sensitivity effectiveness generated respect number prediction iterations used assessed, it found considerable benefits obtained even single iteration performed. marginal more than three be limited, indicating that, case, provide practical trade-off between maximum computational feasibility.