Understanding Freight Fluidity in Peel Region with Emphasis on Arterial Roads

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dc.contributor.advisorPark, Peter Y.
dc.contributor.authorJain, Prateek
dc.date.accessioned2024-03-18T18:16:37Z
dc.date.available2024-03-18T18:16:37Z
dc.date.issued2024-03-16
dc.date.updated2024-03-16T10:40:48Z
dc.degree.disciplineCivil Engineering
dc.degree.levelMaster's
dc.degree.nameMASc - Master of Applied Science
dc.description.abstractThis thesis examines the concept of freight fluidity and seeks to analyze the correlation between truck collisions and freight fluidity measures in the Region of Peel. The study employed a multidisciplinary approach, incorporating data processing, visualization, and correlation techniques. The research involved developing a dashboard that depicts freight fluidity measures and truck collisions. A descriptive data analysis was conducted to identify trends related to freight fluidity measures and collisions. The maximum congestion for trucks was observed in the afternoon period. Brampton showed the highest level of congestion and collisions among all the municipalities. By statistically analyzing the correlation between freight fluidity measures and truck collisions, the study provided insights into how freight fluidity can lead to safer and efficient freight transportation. A statistically significant correlation was observed between collisions and freight fluidity measures. The findings of this thesis will provide valuable insights for transportation planners in the Region of Peel.
dc.identifier.urihttps://hdl.handle.net/10315/41965
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectCivil engineering
dc.subjectTransportation planning
dc.subject.keywordsFreight fluidity
dc.subject.keywordsMobility
dc.subject.keywordsTransportation
dc.subject.keywordsCollisions
dc.subject.keywordsCorrelation
dc.subject.keywordsDashboard
dc.titleUnderstanding Freight Fluidity in Peel Region with Emphasis on Arterial Roads
dc.typeElectronic Thesis or Dissertation

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