Abstract
Rural highways with low technical standards take up a great proportion of the total highways in China, and the problem of traffic safety is quite server on it. To investigate vehicle driving stability on rural highways, vehicle driving state and trajectory were collected by field tests. It was discovered that there are six different kinds of driving trajectories when passing through curved sections on rural highways, and they are named as the ideal trajectory, the normal trajectory, the cutting trajectory, the swing trajectory, the drifting trajectory, and the correcting trajectory. To evaluate vehicle handling stability while drives along different trajectories, Lorenz scatter plot was used to discover the parameter that could reflect driving stability best of all. Then, vehicle driving stability on different trajectories was studied by CarSIM and it was found that vehicle has the best driving stability when drives along the cutting trajectory and has the worst stability while drives along the correcting one.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Research Institute of Highway, Ministry of Transport, P.R. China. 2013. The blue book of road safety in China. Beijing: China Communications Press.
Charlton, S.G., and J.J.D. Pont. 2007. Curved speed management. Research Report 323, Land Transport New Zealand, Wellington, New Zealand.
Thomas, I.L., and W.T. Taylor. 1960. Effect of edge striping on traffic operations. Highway Research Board Bulletin 244:11–15.
Glennon, J.C., and G.D. Weaver. 1971. The relationship of vehicle paths to highway curve design. Research Report 134–5, Texas Transportation Institute, Texas.
Weise, G.S., R. Teter, A. Sossumithen, et al. 1997. Lateral placement of vehicles on curves of two-lane rural roads as safety criterion. Toronto, Canada: XIIIth World meeting of the International Road Federation.
Chatziastros, G., Wallis, M., and H.H. Bülthoff. 1999. The use of optical flow and splay angle in steering a central path. Technical Report No. 72, Max Planck Institute, Germany.
Sun, X.D., and T. Dean. 2005. Impact of edge lines on safety of rural two-lane highways. Technical Report 414, Civil Engineering Department University of Louisiana at Lafayette, Lafayette, La, USA, Oct 2005.
Mestre, D.R. 2001. Dynamic evaluation of the useful field of view in driving. In Proceedings of the first international driving symposium on human factors in driving assessment, training and vehicle design, 234–239.
Spacek, P. 2005. Track behavior in curve areas: Attempt at typology. Journal of Transportation Engineering 131 (9): 669–676.
Scheifele, U., and P. Spacek. 1992. Measuring poles: A measuring device for surveying driving behavior on highways. IVT-ETH Zurich and Planitronic Zurich, supported by the Swiss Road Safety Fund, Zurich, Switzerland.
Spacek, P. 1998. Driving behavior and accident occurrence in curves driving behavior in curve areas. Research Project 16/84, IVT-ETH, Swiss Federal Highways Office, Zurich, Switzerland.
Spacek, P. 2003. Environmental impact of traffic, section: Road safety of traffic facilities. Zurich, Switzerland: Lecture Notes, IVT-ETH.
Ren. Y.Y., Li, X.S., Ren, Y., Rachel, G., and W.W. Guo. 2011. Study on driving dangerous area in road curved section based on vehicle track characteristics. International Journal of Computational Intelligence Systems 4(6): 1237–1245.
Ren, Y.Y., Zhao, H.W., Li, X.S., and X.L. Zheng. 2012. Study on vehicle track model in road curved section based on vehicle dynamic characteristics. Mathematical Problems in Engineering ID 818136.
Donges, E. 1978. A two level model of driver steering behavior. Human Factors 20 (6): 691–707.
Beall, C., and J. Loomis. 1996. M. visual control of steering without course information. Perception 25: 481–494.
Kageyama, I., and H.B. Pacejka. 1992. On a new driver model with fuzzy control. Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility 20 (Suppl): 314–324.
Muralikrishnan, K., K. Balasubramanian, S.M. Jawahar, et al. 2013. Poincare plot of heart rate variability: An approach towards explaning the cardiovascular autonomic function in obesity. Indian Journal of Physiology and Pharmacology 57 (1): 31–37.
Kwmen, P.W., H. Krum, and A.M. Tonkin. 1996. Poincare plot of heart rate variability allows quantitative display of parasympathetic nervous activity in humans. Clinical Science 91: 201–208.
Acknowledgements
This research is supported by the National Natural Science Foundation of China (Grant No. 51375200 and 51578262).
Conflict of interests
The authors declare that there is no conflict of interests regarding the publication of this article.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Science+Business Media Singapore
About this paper
Cite this paper
Zheng, Xl., Li, Xs., Ren, Yy., Meng, Xy. (2018). Vehicle Driving Characteristics on Rural Highways and the Evaluation of Stability Performance Based on Lorenz Scatter Plot. In: Wang, W., Bengler, K., Jiang, X. (eds) Green Intelligent Transportation Systems. GITSS 2016. Lecture Notes in Electrical Engineering, vol 419. Springer, Singapore. https://doi.org/10.1007/978-981-10-3551-7_38
Download citation
DOI: https://doi.org/10.1007/978-981-10-3551-7_38
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3550-0
Online ISBN: 978-981-10-3551-7
eBook Packages: EngineeringEngineering (R0)