An extended macro traffic flow model accounting for the driver’s bounded rationality and numerical tests

Tie-Qiao Tang, Hai-Jun Huang () and Hua-Yan Shang

Physica A: Statistical Mechanics and its Applications, 2017, vol. 468, issue C, 322-333

Abstract: In this paper, we propose a macro traffic flow model to explore the effects of the driver’s bounded rationality on the evolutions of traffic waves (which include shock and rarefaction waves) and small perturbation, and on the fuel consumption and emissions (that include CO, HC and NOX) during the evolution process. The numerical results illustrate that considering the driver’s bounded rationality can prominently smooth the wavefront of the traffic waves and improve the stability of traffic flow, which shows that the driver’s bounded rationality has positive impacts on traffic flow; but considering the driver’s bounded rationality reduces the fuel consumption and emissions only at the upstream of the rarefaction wave while enhances the fuel consumption and emissions under other situations, which shows that the driver’s bounded rationality has positive impacts on the fuel consumption and emissions only at the upstream of the rarefaction wave, while negative effects on the fuel consumption and emissions under other situations. In addition, the numerical results show that the driver’s bounded rationality has little prominent impact on the total fuel consumption, and emissions during the whole evolution of small perturbation.

Keywords: Macro traffic flow model; The driver’s bounded rationality; Fuel consumption; Emissions (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (51)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:468:y:2017:i:c:p:322-333

DOI: 10.1016/j.physa.2016.10.092

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