Dynamic Analysis and Numerical Simulation on the Road Turning with Ultra-High

Yujuan, Liang

doi:10.1007/978-3-642-24097-3_28

Cited by 1 publication

(4 citation statements)

References 9 publications

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“…The parameters of the model are set as follows: a time step is for 1s; each lattice point length is 7.5m; the total length L of the road is 7.5km; the stochastic delay probability of vehicle p=0.25; to simplify the problem, the lattice is a unit of length and dimensionless processing, take vmax1=5, corresponding to that, the actual speed is 135km/h; take vmax2=4,3,2,1, and its corresponding actual speed is 108km/h, 81km/h,54km/h, 27km/h, respectively. Because the critical speed of vehicle safely turning decreases with the increase of the bend curvature and thus, assuming that the curvature S of the curve is inversely proportional to the maximum speed vmax2 of vehicle allowed in curved section [2][3], that is S=k/vmax2. Here k is the proportional coefficient.…”

Section: Numerical Results and Analysismentioning

confidence: 99%

“…The vehicle is not always doing linear motion, sometimes uphill and downhill, sometimes turning and changing to do curvilinear motion [2][3][4][5][6]. In order to simplify the problem, taking the vehicle as particle, when the vehicle is cornering, formula (1) still applies.…”

Section: Theoretical Foundationmentioning

confidence: 99%

“…The cellular automata model is a rule-based model whose rules can be flexibly adjusted according to the needs, and it can effectively simulate various real traffic situations on the computer. Therefore, it has been widely used and developed in the study of traffic flow [2][3][4][5][6][7][8]. References [3] assumed that the inclination angle of a curve superelevation is directly proportional to the permissible critical speed of the curve based on the cellular automata model and investigated the effect of superelevation on traffic flow.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, it has been widely used and developed in the study of traffic flow [2][3][4][5][6][7][8]. References [3] assumed that the inclination angle of a curve superelevation is directly proportional to the permissible critical speed of the curve based on the cellular automata model and investigated the effect of superelevation on traffic flow. The results of this study are similar to those obtained by other methods and can truly reflect the actual situation.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Inverse Method to Study the Effects of Factors of the Curve on Traffic Flow

Wei,

Liang

2024

Advances in Transdisciplinary Engineering

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The curve is a very typical traffic bottleneck. When turning, the vehicle must slow down, otherwise they will likely fly to the outside of the corner due to inertia. The objective practice shows that the bigger the bend curvature is, the slower the speed permitted is when vehicle turning. Therefore, based on the classical NaSch traffic flow model, setting up a cellular automaton model including a corner on the condition of open boundary, and if the bend curvature and the maximum speed of vehicle permitted on the curve is inversely proportional, we can separately study the effects of the curvature and the arc length of the curve on traffic flow. The results of research show that the influence of the bend curvature on traffic flow is greater than that of the arc length, which is quite similar to the results obtained by other research methods. Thus, we can think that in a certain range of error, this method is desirable.

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Section: Numerical Results and Analysismentioning

confidence: 99%