Tradable Credit Scheme for Control of Evolutionary Traffic Flows to System Optimum: Model and its Convergence

Ren-Yong Guo (), Hai-Jun Huang () and Hai Yang
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Ren-Yong Guo: Beihang University

Networks and Spatial Economics, 2019, vol. 19, issue 3, No 8, 833-868

Abstract: Abstract We propose a dynamic tradable credit scheme for control of the day-to-day evolution process of traffic flows towards the system optimum (SO) state in a traffic network with elastic demand. In the scheme, the distribution and charge of travel credits are adjusted from period to period. The interacting dynamics among day-to-day traffic flows, period-to-period credit adjustment, and day-to-day credit price is formulated as an evolutionary game model. We mathematically prove two properties of the model, i.e., the consistence of the stationary state with the SO state and the convergence of the evolutionary trajectory. Finally, numerical results on a middle-size network are presented to validate the dynamic tradable credit scheme and to demonstrate the properties and application of the model.

Keywords: Traffic dynamics; Tradable mobility credits; System optimum; Convergence (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (9)

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DOI: 10.1007/s11067-018-9432-z

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