Abstract
This paper utilizes the traffic flow model of car-following to study the movement of two consecutive vehicles travelling in the same lane of a freeway. The car-following models defined the speed and headway of a moving vehicle but have not analyzed their relation. In the proposed block-moving approach, the following vehicle is considered as a moving object obstructed by another one moving in the same direction. In that, the correlation between the speed and headway of the following vehicle, which are recorded discretely in real time by instruments installed on the following vehicle, is analyzed and processed to avoid collisions caused by the following vehicle. Additionally, the following vehicle must react accordingly to the behaviors of the leading vehicle by increasing or decreasing speed to a desired speed. This study proposed a methodology to effectively determine how much engine or brake force should be made to achieve the desired speed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Treibera, M., Kesting, A.: Microscopic calibration and validation of car-following models – a systematic approach. Proc. - Soc. Behav. Sci. 80, 922–939 (2013)
Li, Y., Sun, D.: Microscopic car-following model for the traffic flow: the state of the art. J. Control Theory 10, 133–143 (2012)
Brackstone, M., McDonald, M.: Car-following: a historical review. Transp. Res. Part F 2, 181–196 (1999)
Arif, M., Saccomanno, F., Hellinga, B.: Evaluation of a car-following model using systems dynamics. In: The 19th International Conference of the System Dynamics Society (2001)
Mathew, T.V.: Car-following models. In: Transportation Systems Engineering, pp. 14.1–14.8 (2014)
Ge, H.X., Cheng, R.J., Li, Z.P.: Two velocity difference model for a car-following theory. Phys. A 387, 5239–5245 (2008)
Zheng, J., Suzuki, K., Fujita, M.: Evaluation of car-following models using trajectory data from real traffic. In: 8th International Conference on Traffic and Transportation Studies, Changsha, China, pp. 356–366 (2012)
Andrienko, G., Andrienko, N., Bak, P., Keim, D., Kisilevich, S., Wrobel, S.: A conceptual framework and taxonomy of techniques for analyzing movement. J. Vis. Lang. Comput. 22, 213–232 (2011)
Andrienko, N., Andrienko, G., Pelekis, N., Spaccapietra, S.: Basic concepts of movement data. In: Giannotti, F., Pedreschi, D. (eds.) Mobility, Data Mining and Privacy, Geographic Knowledge Discovery, pp. 15–38. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-75177-9_2
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Tran, T.V., Bui, T.T., Nguyen, T.D.T., Huynh, C.N.T., Tran, P.V. (2018). Block-Moving Approach for Speed Adjustment on Following Vehicle in Car-Following Model. In: Cong Vinh, P., Ha Huy Cuong, N., Vassev, E. (eds) Context-Aware Systems and Applications, and Nature of Computation and Communication. ICTCC ICCASA 2017 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 217. Springer, Cham. https://doi.org/10.1007/978-3-319-77818-1_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-77818-1_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77817-4
Online ISBN: 978-3-319-77818-1
eBook Packages: Computer ScienceComputer Science (R0)