Intelligence in traffic simulation model : Modeling congested network

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

2 Scopus Citations
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  • Joonho Ko
  • Hyun Woong Cho
  • Hyunmyung Kim
  • Young-Joo Lee
  • Wonho Suh


Original languageEnglish
Pages (from-to)7917-7923
Journal / PublicationJournal of Intelligent and Fuzzy Systems
Issue number4
Online published12 Apr 2021
Publication statusPublished - 2021


Traffic simulation tools are becoming more popular as complexity and intelligence are growing in transportation systems. The need for more accurate and intelligent traffic modeling is increasing rapidly as transportation systems are having more congestion problems. Although traffic simulation models have been continuously updated to represent various traffic conditions more realistically, most simulation models still have limitations in overcapacity congested traffic conditions. In traditional traffic simulation models, when there is no available space due to traffic congestion, additional traffic demand may never be allowed to enter the network. The objective of this paper is to investigate one possible method to address the issue of unserved vehicles in overcapacity congested traffic conditions using the VISSIM trip chain. The VISSIM trip chain is used for this analysis as it has the advantage of holding a vehicle without eliminating it when traffic congestion prevents its entrance onto a network. This will allow the vehicle to enter when an acceptable gap becomes available on the entry link. To demonstrate the difference between the simulation using standard traffic input and the trip chain method, a sample congested traffic network is built and congested traffic scenarios are created. Also, simulations with different minimum space headway parameters in the priority rules are analyzed to model congested traffic conditions more realistically. This will provide the insight about the sensitivity of the model to this parameter. Based on the analysis conducted it is concluded that, with appropriate calibrations, the trip chain feature in VISSIM has the potentials to be useful in modeling overcapacity congested traffic conditions more realistically.

Research Area(s)

  • intelligence of traffic simulation, network simulation, simulation analysis, traffic congestion modeling, Traffic simulation environments

Citation Format(s)

Intelligence in traffic simulation model: Modeling congested network. / Ko, Joonho; Cho, Hyun Woong; Kim, Jung In et al.
In: Journal of Intelligent and Fuzzy Systems, Vol. 40, No. 4, 2021, p. 7917-7923.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review