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An improved car-following model considering velocity fluctuation of the immediately ahead car

Shaowei Yu, Mengxing Huang, Jia Ren and Zhongke Shi

Physica A: Statistical Mechanics and its Applications, 2016, vol. 449, issue C, 1-17

Abstract: To better describe car-following behaviors in the adaptive cruise control strategy and further increase roadway traffic mobility and reduce fuel consumptions, the linkage between velocity fluctuation of the immediately ahead car and the following car’s acceleration or deceleration is explored with respect to the measured car-following data by employing the gray correlation analysis theory and then an improved car-following model considering velocity fluctuation of the immediately ahead car on basis of the full velocity difference model is proposed. Numerical simulations are carried out and the effects of velocity fluctuation of the immediately ahead car on each car’s velocity, acceleration, vehicular gap, fuel consumptions and the total fuel consumptions of the whole car-following system with different time window lengths are investigated in detail. The results show that velocity fluctuation of the immediately ahead car has significant effects on car-following behaviors and fuel consumptions, and that considering velocity fluctuation of the immediately ahead car in designing the adaptive cruise control system can improve traffic flow stability and reduce fuel consumptions.

Keywords: Car-following models; Velocity fluctuation of the immediately ahead car; The time window length; The adaptive cruise control system; Fuel consumption (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (35)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:449:y:2016:i:c:p:1-17

DOI: 10.1016/j.physa.2015.12.040

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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