Pel, AJ;
Chaniotakis, E;
(2017)
Stochastic user equilibrium traffic assignment with equilibrated parking search routes.
Transportation Research Part B: Methodological
, 101
pp. 123-139.
10.1016/j.trb.2017.03.015.
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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.
Type: | Article |
---|---|
Title: | Stochastic user equilibrium traffic assignment with equilibrated parking search routes |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.trb.2017.03.015 |
Publisher version: | http://dx.doi.org/10.1016/j.trb.2017.03.015 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Parking, Traffic assignment, Stochastic user equilibrium, Choice modeling, Queuing theory |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10090614 |
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