Examining the Benefit of Accounting for Traffic Dynamics in Congestion Pricing Applications

作者: Kara M Kockelman , S Travis Waller , Stephen Boyles , Satish Ukkusuri

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摘要: There has been rapidly increasing interest in developing congestion pricing models and applications for relieving transportation networks. However, most of the work literature focuses on using static analysis. It is still unclear what, if any, benefits are derived by accounting traffic dynamics pricing. The main purpose this paper to perform a systematic comparison both dynamic CP results Dallas Ft. Worth Network. As part analysis we develop novel demand profiling algorithm based piecewise linear curves, provide method that enables between assignment, an approximation assignment used add-in certain types software. indicate traditional have potential significantly underestimate levels networks, ability DTA account nonuniform should not be neglected.

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