• Title/Summary/Keyword: Multi-class Variable Demand

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Multi-class Variable Demand Network Equilibrium (다계층 가변수요 교통망 균형)

  • Kim, Byung-Kwan;Lim, Yong-Taek;Lim, Kang-Won;Lee, Young-Ihn
    • Journal of Korean Society of Transportation
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    • v.26 no.3
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    • pp.155-167
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    • 2008
  • This paper studies a multiple user class variable demand user equilibrium and system optimal condition, and then establishes solution algorithms for them. The traffic network equilibrium is accomplished with basis on following assumptions. For considering heterogeneous road user, several user classes have discrete set of VOTs and the travel demand of each user classes varies according to generalized travel cost. this paper specifically investigates following question on multi-class variable demand: Are user equilibrium flows pattern dependent on the unit (time or money) perceived by road user classes? What is system optimal condition according to the unit used in measuring the travel cost or disutility? Finally, using this network equilibrium condition, The traffic assignment algorithm of each equilibrium condition are established.

A Multiple User Class Congestion Pricing Model and Equity (혼잡통행료 산정모형의 개발 및 계층간 형평성 연구)

  • Im, Yong-Taek;Kim, Byeong-Gwan
    • Journal of Korean Society of Transportation
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    • v.25 no.5
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    • pp.183-193
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    • 2007
  • Traditionally, a congestion charge based on first-best congestion pricing theory, namely, the theory of marginal cost pricing theory, is equal to the difference between marginal social cost and marginal private cost. It is charged on each link so as to derive a user equilibrium flow pattern to a system optimal one. Based on this theory this paper investigates on the characteristics of first-best congestion pricing of multiple user class on road with variable demand, and presents two methods for analysis of social and spatial equity. For these purposes, we study on the characteristics of first-best congestion pricing derived from system optimal in time and in monetary unit, and analyze equity from this congestion pricing with an example network.