Spatiotemporal Traffic-Flow Dependency and Short-Term Traffic Forecasting

Yang Yue and Anthony Gar-On Yeh
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Yang Yue: Centre of Urban Planning and Environmental Management, The University of Hong Kong, Pokfulam Road, Hong Kong SAR
Anthony Gar-On Yeh: Centre of Urban Planning and Environmental Management, The University of Hong Kong, Pokfulam Road, Hong Kong SAR

Environment and Planning B, 2008, vol. 35, issue 5, 762-771

Abstract: Short-term traffic forecasting is playing an increasing role in modern transport management. Although many short-term traffic forecasting methods have been explored, the spatiotemporal dependency of traffic flow, an important characteristic of traffic dynamics that can benefit the forecasting of traffic changes, is often neglected in short-term traffic forecasting. This paper first investigates the spatiotemporal dependency of traffic flow using cross-correlation analysis and then discusses its implications in terms of traffic forecastability and real-time data effectiveness. This can help us to understand traffic flow, and hence improve the performance of forecasting models.

Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:35:y:2008:i:5:p:762-771

DOI: 10.1068/b33090

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