Estimating annual average daily traffic (AADT) from short-duration counts in towns
| dc.contributor.author | Klassen-Townsend, Karalee | |
| dc.contributor.examiningcommittee | Montufar, Jeannette (Civil Engineering) | en_US |
| dc.contributor.examiningcommittee | Mehran, Babak (Civil Engineering) | en_US |
| dc.contributor.supervisor | Regehr, Jonathan (Civil Engineering) | en_US |
| dc.date.accessioned | 2021-08-27T16:37:58Z | |
| dc.date.available | 2021-08-27T16:37:58Z | |
| dc.date.copyright | 2021-08-24 | |
| dc.date.issued | 2021 | en_US |
| dc.date.submitted | 2021-08-24T14:29:06Z | en_US |
| dc.degree.discipline | Civil Engineering | en_US |
| dc.degree.level | Master of Science (M.Sc.) | en_US |
| dc.description.abstract | Traffic volume data, commonly summarized as annual average daily traffic (AADT), is a fundamental input for transportation engineering decisions. Current traffic monitoring guidance provides insufficient detail on the development of AADT estimates from short-duration counts conducted within towns. This is due to limited knowledge of the attributes that characterize a town count and uncertainty about the temporal factors required to estimate AADT from short-duration town count data. This research addressed these gaps by using a decision algorithm and GIS analysis to identify which short-duration counts should be considered town counts and by developing and validating a methodology to estimate AADT from short-duration town count data. The analysis demonstrated that temporal factors generated from continuous counts conducted near towns could be reliably applied to short-duration town count data. This finding enables traffic monitoring authorities to leverage existing data and methods to improve the representativeness of traffic volume estimates in towns. | en_US |
| dc.description.note | October 2021 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1993/35846 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | en_US |
| dc.subject | Urban traffic periodicities | en_US |
| dc.subject | Annual average daily traffic | en_US |
| dc.subject | Traffic monitoring | en_US |
| dc.subject | Short-duration counts | en_US |
| dc.subject | Transportation engineering | en_US |
| dc.title | Estimating annual average daily traffic (AADT) from short-duration counts in towns | en_US |
| dc.type | master thesis | en_US |
| local.subject.manitoba | yes | en_US |