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Journal of Advanced Transportation
Volume 2017 (2017), Article ID 9862949, 14 pages
Research Article

A Novel Approach for Operating Speed Continuous Predication Based on Alignment Space Comprehensive Index

1School of Automobile, Chang’an University, Xi’an, China
2School of Traffic and Transportation Engineering, Key Laboratory of Smart Transport in Hunan Province, Central South University, Changsha, China
3College of Transportation Engineering, Tongji University, Shanghai, China

Correspondence should be addressed to Jinjun Tang; nc.ude.usc@gnatnujnij

Received 1 June 2017; Revised 18 September 2017; Accepted 30 October 2017; Published 12 December 2017

Academic Editor: Chunjiao Dong

Copyright © 2017 Ying Yan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Operating speed is a critical indicator for road alignment consistency design and safety evaluation. Although extensive studies have been conducted on operating speed prediction, few models can finish practical continuous prediction at each point along alignment on multilane highways. This study proposes a novel method to estimate the operating speed for multilane highways in China from the aspect of the three-dimensional alignment combination. Operating speed data collected in field experiments on 304 different alignment combination sections are detected by means of Global Positioning System. First, the alignment comprehensive index (ACI) is designed and introduced to describe the function accounting for alignment continuity and driving safety. The variables used in ACI include horizontal curve radius, change rate of curvature, deflection angle of curve, grade, and lane width. Second, the influence range of front and rear alignment on speed is determined on the basis of drivers’ fixation range and dynamical properties of vehicles. Furthermore, a prediction model based on exponential relationships between road alignment and speeds is designed to predict the speed of passenger cars and trucks. Finally, three common criteria are utilized to evaluate the effectiveness of the prediction models. The results indicate that the prediction models outperform the other two operating speed models for their higher prediction accuracy.