Experiments with departure time choice dynamics of urban commuters

Hani S. Mahmassani; Gang Len Chang

doi:10.1016/0191-2615(86)90045-7

Experiments with departure time choice dynamics of urban commuters

Hani S. Mahmassani^*, Gang Len Chang

^*Corresponding author for this work

Civil and Environmental Engineering

Research output: Contribution to journal › Article › peer-review

106 Scopus citations

Abstract

A modeling framework is presented for investigating the dynamic properties of a system of commuters located along a highway facility. The day-to-day evolution of the time-dependent user departure patterns and associated system performance are investigated in a series of simulation experiments. User departure time decisions are modeled through the use of simple heuristics, including mechanisms to incorporate the experience accumulated through repeated use of the facility. The performance of the facility given the users' decisions is obtained from a special-purpose macroscopic traffic simulation model. Alternative user choice rules and learning models are explored as to their effect on system performance and its dynamic properties.

Original language	English (US)
Pages (from-to)	297-320
Number of pages	24
Journal	Transportation Research Part B
Volume	20
Issue number	4
DOIs	https://doi.org/10.1016/0191-2615(86)90045-7
State	Published - Aug 1986

Funding

Acknowledgemenrs-The authors would like to express their gratitude to Robert Herman for his contribution to the initiation of the overall researche ffort from which this work has evolved and his collaboration on many aspectso f this study. The computer programs developedf or this paper were basedo n an initial version of a simulation model written by Sonia Claudet, formerly a researcha ssociatei n the Center for Studies in Statistical Mechanics at the University of Texas at Austin, under the supervision of Professor Herman. In addition, we wish to thank two anonymous referees whose extensivec ommentsg reatly enhancedt he presentation.P artial support for initiating the researcho n which this paper is based came from a subcontractt o Purdue University from USDOT Grant #DOT-RC-92004 and a grant from the Bureau of Engineering Research at the University of Texas at Austin. Additional support for the revision of this paper and our continuing research in this area comes from National Science Foundation Grant CEE-8400306. The authors of course remain solely responsiblef or the contento f this paper.

ASJC Scopus subject areas

Civil and Structural Engineering
Transportation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/0191-2615(86)90045-7

Cite this

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title = "Experiments with departure time choice dynamics of urban commuters",

abstract = "A modeling framework is presented for investigating the dynamic properties of a system of commuters located along a highway facility. The day-to-day evolution of the time-dependent user departure patterns and associated system performance are investigated in a series of simulation experiments. User departure time decisions are modeled through the use of simple heuristics, including mechanisms to incorporate the experience accumulated through repeated use of the facility. The performance of the facility given the users' decisions is obtained from a special-purpose macroscopic traffic simulation model. Alternative user choice rules and learning models are explored as to their effect on system performance and its dynamic properties.",

author = "Mahmassani, {Hani S.} and Chang, {Gang Len}",

note = "Funding Information: Acknowledgemenrs-The authors would like to express their gratitude to Robert Herman for his contribution to the initiation of the overall researche ffort from which this work has evolved and his collaboration on many aspectso f this study. The computer programs developedf or this paper were basedo n an initial version of a simulation model written by Sonia Claudet, formerly a researcha ssociatei n the Center for Studies in Statistical Mechanics at the University of Texas at Austin, under the supervision of Professor Herman. In addition, we wish to thank two anonymous referees whose extensivec ommentsg reatly enhancedt he presentation.P artial support for initiating the researcho n which this paper is based came from a subcontractt o Purdue University from USDOT Grant #DOT-RC-92004 and a grant from the Bureau of Engineering Research at the University of Texas at Austin. Additional support for the revision of this paper and our continuing research in this area comes from National Science Foundation Grant CEE-8400306. The authors of course remain solely responsiblef or the contento f this paper.",

year = "1986",

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doi = "10.1016/0191-2615(86)90045-7",

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AB - A modeling framework is presented for investigating the dynamic properties of a system of commuters located along a highway facility. The day-to-day evolution of the time-dependent user departure patterns and associated system performance are investigated in a series of simulation experiments. User departure time decisions are modeled through the use of simple heuristics, including mechanisms to incorporate the experience accumulated through repeated use of the facility. The performance of the facility given the users' decisions is obtained from a special-purpose macroscopic traffic simulation model. Alternative user choice rules and learning models are explored as to their effect on system performance and its dynamic properties.

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Experiments with departure time choice dynamics of urban commuters

Abstract

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ASJC Scopus subject areas

UN SDGs

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