Application of an activity-based travel-demand model incorporating a rule-based algorithm

Ram Pendyala, R. Kitamura, D. V G Prasuna Reddy

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

In this paper an activity-based travel-demand model called AMOS is described. The model system is capable of simulating changes in individual activity and travel behavior that may be brought about by a change in the transportation system. These simulations may then be used to predict the impacts of various transportation policies on regionwide travel characteristics. A rule-based activity-scheduling algorithm is at the heart of AMOS. The algorithm simulates changes in activity and travel patterns while recognizing the presence of constraints under which travelers make decisions. Operationally, the algorithm reads the baseline activity and travel pattern of an individual and then determines the most probable adjustments that the individual may make in response to a transportation policy. In this paper, the scheduling algorithm is described in detail and sample results from a case study in the Washington, DC metropolitan area are provided.

Original languageEnglish (US)
Pages (from-to)753-772
Number of pages20
JournalEnvironment and Planning B: Planning and Design
Volume25
Issue number5
StatePublished - Sep 1998
Externally publishedYes

Fingerprint

travel demand
travel
transportation policy
Scheduling algorithms
demand
scheduling
travel behavior
transportation system
metropolitan area
system model
agglomeration area
simulation

ASJC Scopus subject areas

  • Environmental Science (miscellaneous)

Cite this

Application of an activity-based travel-demand model incorporating a rule-based algorithm. / Pendyala, Ram; Kitamura, R.; Prasuna Reddy, D. V G.

In: Environment and Planning B: Planning and Design, Vol. 25, No. 5, 09.1998, p. 753-772.

Research output: Contribution to journalArticle

@article{e5c00db2779943ee8fc43b7f08190a66,
title = "Application of an activity-based travel-demand model incorporating a rule-based algorithm",
abstract = "In this paper an activity-based travel-demand model called AMOS is described. The model system is capable of simulating changes in individual activity and travel behavior that may be brought about by a change in the transportation system. These simulations may then be used to predict the impacts of various transportation policies on regionwide travel characteristics. A rule-based activity-scheduling algorithm is at the heart of AMOS. The algorithm simulates changes in activity and travel patterns while recognizing the presence of constraints under which travelers make decisions. Operationally, the algorithm reads the baseline activity and travel pattern of an individual and then determines the most probable adjustments that the individual may make in response to a transportation policy. In this paper, the scheduling algorithm is described in detail and sample results from a case study in the Washington, DC metropolitan area are provided.",
author = "Ram Pendyala and R. Kitamura and {Prasuna Reddy}, {D. V G}",
year = "1998",
month = "9",
language = "English (US)",
volume = "25",
pages = "753--772",
journal = "Environment and Planning B: Planning and Design",
issn = "0265-8135",
publisher = "Pion Ltd.",
number = "5",

}

TY - JOUR

T1 - Application of an activity-based travel-demand model incorporating a rule-based algorithm

AU - Pendyala, Ram

AU - Kitamura, R.

AU - Prasuna Reddy, D. V G

PY - 1998/9

Y1 - 1998/9

N2 - In this paper an activity-based travel-demand model called AMOS is described. The model system is capable of simulating changes in individual activity and travel behavior that may be brought about by a change in the transportation system. These simulations may then be used to predict the impacts of various transportation policies on regionwide travel characteristics. A rule-based activity-scheduling algorithm is at the heart of AMOS. The algorithm simulates changes in activity and travel patterns while recognizing the presence of constraints under which travelers make decisions. Operationally, the algorithm reads the baseline activity and travel pattern of an individual and then determines the most probable adjustments that the individual may make in response to a transportation policy. In this paper, the scheduling algorithm is described in detail and sample results from a case study in the Washington, DC metropolitan area are provided.

AB - In this paper an activity-based travel-demand model called AMOS is described. The model system is capable of simulating changes in individual activity and travel behavior that may be brought about by a change in the transportation system. These simulations may then be used to predict the impacts of various transportation policies on regionwide travel characteristics. A rule-based activity-scheduling algorithm is at the heart of AMOS. The algorithm simulates changes in activity and travel patterns while recognizing the presence of constraints under which travelers make decisions. Operationally, the algorithm reads the baseline activity and travel pattern of an individual and then determines the most probable adjustments that the individual may make in response to a transportation policy. In this paper, the scheduling algorithm is described in detail and sample results from a case study in the Washington, DC metropolitan area are provided.

UR - http://www.scopus.com/inward/record.url?scp=0031755650&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031755650&partnerID=8YFLogxK

M3 - Article

VL - 25

SP - 753

EP - 772

JO - Environment and Planning B: Planning and Design

JF - Environment and Planning B: Planning and Design

SN - 0265-8135

IS - 5

ER -