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An improved car-following model considering headway changes with memory

Shaowei Yu and Zhongke Shi

Physica A: Statistical Mechanics and its Applications, 2015, vol. 421, issue C, 1-14

Abstract: To describe car-following behaviors in complex situations better, increase roadway traffic mobility and minimize cars’ fuel consumptions, the linkage between headway changes with memory and car-following behaviors was explored with the field car-following data by using the gray correlation analysis method, and then an improved car-following model considering headway changes with memory on a single lane was proposed based on the full velocity difference model. Some numerical simulations were carried out by employing the improved car-following model to explore how headway changes with memory affected each car’s velocity, acceleration, headway and fuel consumptions. The research results show that headway changes with memory have significant effects on car-following behaviors and fuel consumptions and that considering headway changes with memory in designing the adaptive cruise control strategy can improve the traffic flow stability and minimize cars’ fuel consumptions.

Keywords: Car-following model; Headway changes with memory; The adaptive cruise control strategy; Traffic flow stability; Fuel consumption (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (20)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:421:y:2015:i:c:p:1-14

DOI: 10.1016/j.physa.2014.11.008

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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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