Print Email Facebook Twitter Stochastic user equilibrium traffic assignment with equilibrated parking search routes Title Stochastic user equilibrium traffic assignment with equilibrated parking search routes Author Pel, A.J. (TU Delft Transport and Planning) Chaniotakis, Emmanouil (Technische Universität München) Date 2017-07-01 Abstract In this paper we define and formulate the concept of parking search routes (PSR) where a driver visits a sequence of parking locations until the first vacant parking spot is found and in doing so may account for (expected) parking probabilities. From there we define and formulate the stochastic user equilibrium (SUE) traffic assignment in which no driver, by unilaterally changing its PSR, can lower its perceived expected generalized costs. Recognizing the interdependency between PSR flows, travel times and parking probabilities, we propose a queuing model in order to compute endogenous parking probabilities accounting for these factors as well as maximum admissible search times. To solve the SUE assignment with equilibrated PSR we propose a solution algorithm, including a method for PSR choice set generation. The model is implemented and applied both to a number of experimental cases to verify its properties and to a real-life setting to illustrate its usefulness in parking-related studies. Subject Choice modelingParkingQueuing theoryStochastic user equilibriumTraffic assignment To reference this document use: http://resolver.tudelft.nl/uuid:612d0449-41ff-4b00-9962-6b7a87d7c8b2 DOI https://doi.org/10.1016/j.trb.2017.03.015 Embargo date 2019-04-12 ISSN 0191-2615 Source Transportation Research. Part B: Methodological, 101, 123-139 Part of collection Institutional Repository Document type journal article Rights © 2017 A.J. Pel, Emmanouil Chaniotakis Files PDF _Pel_Chaniotakis_PSR_SUE_ ... _model.pdf 943.06 KB Close viewer /islandora/object/uuid:612d0449-41ff-4b00-9962-6b7a87d7c8b2/datastream/OBJ/view