Arterial short-term travel time prediction using Bluetooth data
Khoei, Amir Mohammad (2014) Arterial short-term travel time prediction using Bluetooth data. Masters by Research thesis, Queensland University of Technology.
This project recognized lack of data analysis and travel time prediction on arterials as the main gap in the current literature. For this purpose it first investigated reliability of data gathered by Bluetooth technology as a new cost effective method for data collection on arterial roads. Then by considering the similarity among varieties of daily travel time on different arterial routes, created a SARIMA model to predict future travel time values. Based on this research outcome, the created model can be applied for online short term travel time prediction in future.
Impact and interest:
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|Item Type:||QUT Thesis (Masters by Research)|
|Supervisor:||Chung, Edward & Bhaskar, Ashish|
|Keywords:||travel time prediction, travel time estimation, urban arterial, SARIMA, Bluetooth data|
|Divisions:||Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Institution:||Queensland University of Technology|
|Deposited On:||08 Aug 2014 05:29|
|Last Modified:||04 Sep 2015 02:13|
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