A PARAMETRIC FRAMEWORK FOR ROUTE GUIDANCE IN ADVANCED TRAVELER INFORMATION SYSTEMS WITH ENDOGENOUSLY DETERMINED DRIVER COMPLIANCE

Jun-Seok Oh · R. Jayakrishnan · Anthony Chen · Hai Yang

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Transportation Planning and Optimization Traffic control and management Transportation Systems and Logistics

Abstract

This study develops a framework to parametrically evaluate networks under user equilibrium route guidance (UERG) and system optimal route guidance (SORG) assuming the unguided traffic to be in stochastic user equilibrium (SUE). The framework can determine in what condition ATIS performs well and which route guidance state performs better as the market penetration of guidance system increases. Unlike other studies that assumed fixed number of complied drivers, this study explicitly considers compliance rate as an endogenous variable in a general parametric nonlinear programming framework. Under endogenously determined compliance rate, SORG may result in higher total system cost than UERG due to lower compliance rate even though SORG is aiming to minimize total system cost. In contrast, even though UERG is generally preferable because of higher acceptance, UERG may result in increase of total system cost under certain conditions

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