Title:
Estimating managed lanes door-to-door travel timesavings using shortest path algorithms

dc.contributor.advisor Guensler, Randall L.
dc.contributor.author Chang, Chia-Huai
dc.contributor.committeeMember Welch, Tim
dc.contributor.committeeMember Liu, Haobing
dc.contributor.department City and Regional Planning/Civil & Environmental Engineering (Dual Degree)
dc.date.accessioned 2020-01-14T14:45:34Z
dc.date.available 2020-01-14T14:45:34Z
dc.date.created 2019-12
dc.date.issued 2019-08-27
dc.date.submitted December 2019
dc.date.updated 2020-01-14T14:45:34Z
dc.description.abstract Implementing managed lanes, such as high-occupancy toll lanes, within existing urban highway corridors has become increasingly common in cities that want to provide a reliable transportation option but lack sufficient right-of-way to construct new corridors. This study develops a framework that utilizes a shortest path algorithm to compare before and after commute routes and estimate the change in door-to-door travel time offered by managed lane facilities. Using this modeling approach, a case study is explored for the Northwest Corridor (NWC) managed lane facility located in the Atlanta, Georgia, region. The shortest path routines predict that the facility provides a 21.0% - 27.1% decrease in door-to-door travel time for the NWC managed lane users, and a 5.8% – 12.0% travel time decrease for non-NWC general-purpose lane users, for corridor travelers departing home between 6:30 and 8:30 A.M. (traversing the corridor between 6:30 A.M. and 10:00 A.M.). This framework can be easily customized and applied to any other commute route/time change assessment for major managed lane projects.
dc.description.degree M.S.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/62284
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Managed lanes
dc.subject Shortest path algorithm
dc.subject Commute time savings
dc.title Estimating managed lanes door-to-door travel timesavings using shortest path algorithms
dc.type Text
dc.type.genre Thesis
dspace.entity.type Publication
local.contributor.advisor Guensler, Randall L.
local.contributor.corporatename College of Design
local.contributor.corporatename School of City and Regional Planning
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename College of Engineering
local.relation.ispartofseries Master of City and Regional Planning
relation.isAdvisorOfPublication e98e9ae3-d677-462a-b4ff-da47303a4cc3
relation.isOrgUnitOfPublication c997b6a0-7e87-4a6f-b6fc-932d776ba8d0
relation.isOrgUnitOfPublication 2757446f-5a41-41df-a4ef-166288786ed3
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relation.isSeriesOfPublication 48f8ffb1-1ac9-4072-ba90-f780501f1d65
thesis.degree.level Masters
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