Driver Predictions and Energy Consumption in Car-following Model with BFL Effect

Authors

DOI:

https://doi.org/10.26713/cma.v14i2.2169

Keywords:

Energy consumption, Car-following model, Backward looking effect, Individual expectation

Abstract

In real life, there is a significant role of neighboring vehicles as well as driver’s behavior in the nonlinear dynamics of traffic flow. Based on the car-following model, we examined the impact of individual expectations on a single-lane highway with a Backward-Forward Looking (BFL) effect on traffic flow. The model’s stability criterion is determined through linear and nonlinear analysis, and it is observed that the prediction parameter not only reduces the unstable region but is also helpful in reducing energy consumption. Moreover, it is also remarked that the driver’s prediction effect will become more effective in the case BFL model. Furthermore, the numerical simulation demonstrates that the new model effectively enhances stable regions and it should be considered during the modeling of traffic flow.

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Published

18-09-2023
CITATION

How to Cite

Sunita, Meenkashi, & Redhu, P. (2023). Driver Predictions and Energy Consumption in Car-following Model with BFL Effect. Communications in Mathematics and Applications, 14(2), 727–744. https://doi.org/10.26713/cma.v14i2.2169

Issue

Vol. 14 No. 2 (2023)

Section

Research Article

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