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Journal Article

Citation

Yang Z, Guo Z, Du X. Tongji Daxue Xuebao 2007; 35(7): 929-934.

Affiliation

School of Transportation Engineering, Tongji University, Shanghai 200092, China

Copyright

(Copyright © 2007, Tong ji da xue)

DOI

unavailable

PMID

unavailable

Abstract

Based on the features of vision, this paper proposes a novel concept-spatial sight-distance (SCSD) to quantify the visual information of the driver. An algorithm is presented to compute the SCSD value abstracted from the visual information of the driver at any location of the road at anytime. Three factors including the horizontal deviation angle limits, vertical deviation angle limits and terrain undulation are taken into the account of the algorithm. Combining with the experiment's data, the nonlinear relation of the expected speed and SCSD is obtained through regression procedure, and finally the freeway operating speed prediction model is established by the point-by-point grade calibration of that nonlinear relation through TWOPAS model. The experiment results show that the speed predicted by the model is highly close to that predicted by Interactive Highway Safety Design Model (IHS-DM) of American, and the predicted operating speed also matches the reality fairly well in the case of free flow.

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