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Impact of risk illusions on traffic flow in fog weather

Jin-hua Tan

Physica A: Statistical Mechanics and its Applications, 2019, vol. 525, issue C, 216-222

Abstract: In this study, an extended car-following model is proposed to investigate the impacts of driver’s risk illusions on traffic flow stability, velocity, acceleration and headway fluctuation frequency in fog weather. Through stability analysis and numerical simulation, the results indicate that risk illusions weaken the stabilization of traffic system. Furthermore, it is shown that the proposed model is more dangerous than the full velocity difference model from the perspectives of the maximum velocity and acceleration. Additionally, risk illusions increase the headway fluctuation frequency, which means that more adjustments of the headway are needed, increasing driver’s workload. Therefore, the impact of risk illusions on traffic flow is disadvantageous.

Keywords: Traffic flow; Risk illusions; Car-following model; Fog weather (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:525:y:2019:i:c:p:216-222

DOI: 10.1016/j.physa.2019.03.023

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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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