Title:
Estimating managed lanes door-to-door travel timesavings using shortest path algorithms
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 | |
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relation.isOrgUnitOfPublication | c997b6a0-7e87-4a6f-b6fc-932d776ba8d0 | |
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relation.isSeriesOfPublication | 48f8ffb1-1ac9-4072-ba90-f780501f1d65 | |
thesis.degree.level | Masters |