2021
DOI: 10.3934/nhm.2021005
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Influence of a slow moving vehicle on traffic: Well-posedness and approximation for a mildly nonlocal model

Abstract: In this paper, we propose a macroscopic model that describes the influence of a slow moving large vehicle on road traffic. The model consists of a scalar conservation law with a nonlocal constraint on the flux. The constraint level depends on the trajectory of the slower vehicle which is given by an ODE depending on the downstream traffic density. After proving well-posedness, we first build a finite volume scheme and prove its convergence, and then investigate numerically this model by performing a series of … Show more

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Cited by 11 publications
(25 citation statements)
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References 33 publications
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“…Invoking (7), ( 3) and (2), we have 1 t J$T if K T Vw ■ nTF = K, f Vw ■ ($-) nTF = K$ f Vw ■ nff J(pf and (26) gives (K4>,fVpK+TVt' Vw)f = (K$,fVVt , Vw)f + y ' (vf -Vt , K$,fVw ■ nfF)f FeFf = (K$f f VpK+lF, Vw)f, the conclusion following fromthedefinition ofpK+ f. Since w is arbitraryin Pk+1 (T), this proves that pk K+-rV.T and pK+ fVf have the same gradient. Using (4) and (24) we also see that they have same average on T, which concludes the proof of (25). □…”
Section: Local Space and Potential Reconstructionsupporting
confidence: 59%
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“…Invoking (7), ( 3) and (2), we have 1 t J$T if K T Vw ■ nTF = K, f Vw ■ ($-) nTF = K$ f Vw ■ nff J(pf and (26) gives (K4>,fVpK+TVt' Vw)f = (K$,fVVt , Vw)f + y ' (vf -Vt , K$,fVw ■ nfF)f FeFf = (K$f f VpK+lF, Vw)f, the conclusion following fromthedefinition ofpK+ f. Since w is arbitraryin Pk+1 (T), this proves that pk K+-rV.T and pK+ fVf have the same gradient. Using (4) and (24) we also see that they have same average on T, which concludes the proof of (25). □…”
Section: Local Space and Potential Reconstructionsupporting
confidence: 59%
“…F eFj FkjVt > 1)t = (vT, 1)T • (24) Lemma 3 (Transport of potential reconstruction) It holds pK+TvT = pk+1 vT K,A,T T VvT e UT, (25) where vT = (vT, (vF)FeFT ) e UT is the transported vT, and pK+J T ^ the potential reconstruction on T for the diffusion tensor K^t.…”
Section: Local Space and Potential Reconstructionmentioning
confidence: 99%
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