Incorporating the standstill distance and time headway distributions into freeway car-following models and an application to estimating freeway travel time reliability

dc.contributor.author Lu, Chaoru
dc.contributor.author Dong, Jing
dc.contributor.author Dong-O'Brien, Jing
dc.contributor.author Houchin, Andrew
dc.contributor.author Liu, Chenhui
dc.contributor.department Department of Civil, Construction and Environmental Engineering
dc.date 2020-01-02T20:33:16.000
dc.date.accessioned 2020-06-30T01:13:15Z
dc.date.available 2020-06-30T01:13:15Z
dc.date.issued 2021-01-01
dc.description.abstract <p>Standstill distances and following time headways are two important microsimulation model parameters associated with driver aggression. This paper investigates the distributions of standstill distances and time headways and incorporates these distributions into car-following models to estimate travel time reliability. By incorporating standstill distance and following headway into car-following models as stochastic parameters, a speed-density region can be generated, based on which various travel-time-reliability measures can be calculated. Key findings of this study are as follows: (1) Both standstill distances and time headways follow fairly dispersed distributions. Therefore, it is suggested that microsimulation models should include the option of allowing standstill distances and time headways to follow distributions as well as to be specified separately for different vehicle classes. (2) By incorporating stochastic standstill distance and time headway parameters in car-following models, travel-time-reliability measures can be estimated more precisely and faster compared with using VISSIM.</p>
dc.description.comments <p>This article is published as Lu, Chaoru, Jing Dong, Andrew Houchin, and Chenhui Liu. "Incorporating the standstill distance and time headway distributions into freeway car-following models and an application to estimating freeway travel time reliability." <em>Journal of Intelligent Transportation Systems</em> 25, no. 1 (2021): 21-40. DOI: <a href="http://dx.doi.org/10.1080/15472450.2019.1683450" target="_blank">10.1080/15472450.2019.1683450</a>.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/ccee_pubs/260/
dc.identifier.articleid 1258
dc.identifier.contextkey 16101003
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ccee_pubs/260
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/13915
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ccee_pubs/260/2019_DongJing_IncorporatingStandstill.pdf|||Fri Jan 14 23:01:56 UTC 2022
dc.source.uri 10.1080/15472450.2019.1683450
dc.subject.disciplines Civil Engineering
dc.subject.disciplines Transportation Engineering
dc.subject.keywords car-following model
dc.subject.keywords standstill distance distribution
dc.subject.keywords time headway distribution
dc.subject.keywords travel time reliability
dc.title Incorporating the standstill distance and time headway distributions into freeway car-following models and an application to estimating freeway travel time reliability
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 02eacfea-376d-45b0-a048-1b6d00cfbf26
relation.isOrgUnitOfPublication 933e9c94-323c-4da9-9e8e-861692825f91
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