Abstract
Vehicle traveling time prediction is an important part of the research of intelligent transportation system. By now, there have been various kinds of methods for vehicle traveling time prediction. But few consider both aspects of time and space. In this paper, a vehicle traveling time prediction method based on grey theory (GT) and linear regression analysis (LRA) is presented. In aspects of time, we use the history data sequence of bus speed on a certain road to predict the future bus speed on that road by GT. And in aspects of space, we calculate the traffic affecting factors between various roads by LRA. Using these factors we can predict the vehicle’s speed at the lower road if the vehicle’s speed at the current road is known. Finally we use time factor and space factor as the weighting factors of the two results predicted by GT and LRA respectively to find the final result, thus calculating the vehicle’s traveling time. The method also considers such factors as dwell time, thus making the prediction more accurate.
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Foundation item: the National Natural Science Foundation of China (No. 50575145) and the National High Technology Research and Development Program (863) of China (Nos. 2006AA04Z432 and 2007AA04Z419)
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Tu, J., Li, Ym. & Liu, Cl. A vehicle traveling time prediction method based on grey theory and linear regression analysis. J. Shanghai Jiaotong Univ. (Sci.) 14, 486–489 (2009). https://doi.org/10.1007/s12204-009-0486-4
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DOI: https://doi.org/10.1007/s12204-009-0486-4