Origin-destination trip table estimation based on subarea network OD flow and vehicle trajectory data

Hyunmyung Kim, Daisik Nam, Wonho Suh and Seung Hoon Cheon

Transportation Planning and Technology, 2018, vol. 41, issue 3, 265-285

Abstract: Identifying accurate origin-destination (O-D) travel demand is one of the most important and challenging tasks in the transportation planning field. Recently, a wide range of traffic data has been made available. This paper proposes an O-D estimation model using multiple field data. This study takes advantage of emerging technologies – car navigation systems, highway toll collecting systems and link traffic counts – to determine O-D demand. The proposed method is unique since these multiple data are combined to improve the accuracy of O-D estimation for an entire network. We tested our model on a sample network and found great potential for using multiple data as a means of O-D estimation. The errors of a single input data source do not critically affect the model’s overall accuracy, meaning that combining multiple data provides resilience to these errors. It is suggested that the model is a feasible means for more reliable O-D estimation.

Date: 2018
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DOI: 10.1080/03081060.2018.1435437

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