Travel time prediction on signalised urban arterials by applying SARIMA modelling on Bluetooth data

Amir Mohammad Khoei, Ashish Bhaskar, Edward Chung

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

22 Citations (Scopus)


Travel time prediction has long been the topic of transportation research. But most relevant prediction models in the literature are limited to motorways. Travel time prediction on arterial networks is challenging due to involving traffic signals and significant variability of individual vehicle travel time. The limited availability of traffic data from arterial networks makes travel time prediction even more challenging. Recently, there has been significant interest of exploiting Bluetooth data for travel time estimation. This research analysed the real travel time data collected by the Brisbane City Council using the Bluetooth technology on arterials. Databases, including experienced average daily travel time are created and classified for approximately 8 months. Thereafter, based on data characteristics, Seasonal Auto Regressive Integrated Moving Average (SARIMA) modelling is applied on the database for short-term travel time prediction. The SARMIA model not only takes the previous continuous lags into account, but also uses the values from the same time of previous days for travel time prediction. This is carried out by defining a seasonality coefficient which improves the accuracy of travel time prediction in linear models. The accuracy, robustness and transferability of the model are evaluated through comparing the real and predicted values on three sites within Brisbane network. The results contain the detailed validation for different prediction horizons (5 min to 90 minutes). The model performance is evaluated mainly on congested periods and compared to the naive technique of considering the historical average.

Original languageEnglish
Publication statusPublished - 1 Jan 2013
Externally publishedYes
Event36th Australasian Transport Research Forum, ATRF 2013 - Brisbane, Australia
Duration: 2 Oct 20134 Oct 2013


Conference36th Australasian Transport Research Forum, ATRF 2013


  • Arterial travel time
  • Bluetooth data
  • SARIMA modelling
  • Time series analysis
  • Travel time prediction

ASJC Scopus subject areas

  • Transportation


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