2022
DOI: 10.5206/mase/14625
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Modeling road surface potholes within the macroscopic flow framework

Abstract: The continual wearing of road surfaces results to crack and holes called potholes. These road surface irregularities often elongate travel time. In this paper, a second-order macroscopic traffic model is therefore proposed to account for these road surface irregularities that affect the smooth flow of vehicular traffic. Though potholes do vary in shape and size, for simplicity the paper assumes that all potholes have conic resemblances. The impact of different sized potholes on driving is experimented using fu… Show more

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Cited by 3 publications
(12 citation statements)
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“…In [35], a model was proposed to examine the impact of road surface conditions on traffic flow. The results obtained reveal that a well-maintained road surface improves both traffic flow and speed [1]. However, this model does not characterize the quantitative effect of road surface conditions, in particular, the combined effect [35].…”
Section: Introductionmentioning
confidence: 92%
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“…In [35], a model was proposed to examine the impact of road surface conditions on traffic flow. The results obtained reveal that a well-maintained road surface improves both traffic flow and speed [1]. However, this model does not characterize the quantitative effect of road surface conditions, in particular, the combined effect [35].…”
Section: Introductionmentioning
confidence: 92%
“…Road surfaces develop cracks and holes over time which lead to the formation of potholes [1]. Potholes are an important factor in road networks, particularly in developing countries.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…As stated in Table 1, earlier formulations are devoid of either the diffusion or viscous term. As such, most recent model presentations and analyses also fellow suite [2,4,7,17,27,41] with few considering the effect of stochasticity [4,42]. Concerning traffic stability, the steady-state condition of a viscous second-order macroscopic traffic flow model was performed by [1].…”
Section: Introductionmentioning
confidence: 99%