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Short-Term Traffic Prediction Using Rainfall

Haiyun Lu
SAP Research and Innovation, Singapore
Abstract—We propose an approach to predict short-term travel time for expressways using rainfall data. The rainfall rate is quantitatively related to the travel time and is used to perform the prediction. The proposed approach is experimented on real data collected in Singapore. Results show that it performs better compared to three baseline approaches. It is also shown that the proposed approach is applicable and effective in Singapore.
Index Terms—intelligent transportation systems, traffic prediction, travel time prediction, weather correlation, impulse response.

Cite: Haiyun Lu, "Short-Term Traffic Prediction Using Rainfall," International Journal of Signal Processing Systems, Vol. 2, No. 1, pp. 70-73, June 2014. doi: 10.12720/ijsps.2.1.70-73
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