2016
DOI: 10.1016/j.physa.2016.07.066
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Effect of optimal estimation of flux difference information on the lattice traffic flow model

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Cited by 12 publications
(5 citation statements)
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“…On the grounds of the analysis of the impact of strong wind in a car-following model [45], we further explore the impact of wind in a lattice model. Moreover, the effect of optimal estimation of flux difference integral [46] has not been researched in the wind. According to the opinions above, the modified model is demonstrated as below:…”
Section: Methods: the Modified Modelmentioning
confidence: 99%
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“…On the grounds of the analysis of the impact of strong wind in a car-following model [45], we further explore the impact of wind in a lattice model. Moreover, the effect of optimal estimation of flux difference integral [46] has not been researched in the wind. According to the opinions above, the modified model is demonstrated as below:…”
Section: Methods: the Modified Modelmentioning
confidence: 99%
“…What is more, lots of traffic information, which can be conducive to ease traffic jams, should be used as soon as possible, especially the information of the optimal estimation of flux difference. Yang [46] examined this information on a single lane. Then, this factor was incorporated into a two-lane system by Peng [47].…”
Section: Introductionmentioning
confidence: 99%
“…Jiang et al [43] discussed the influence of the DD effect when traffic interruption occured. In addition, Sun et al [44] and Yang et al [45] put forward a lattice hydrodynamic model by taking the optimal flux difference effect into account. Chang et al [46] designed a model by considering the anticipation flux difference effect.…”
Section: Introductionmentioning
confidence: 99%
“…During the last decades a growing number of car transport rate increasing challenge of traffic flow management. There are many different studies [1][2][3][4][5][6][7][8][9][10] that make it easier to understand traffic flow. Liu et al [1] analyze the variation of the density of cars in a single lane using a jam control scheme based on a lattice hydrodynamic model.…”
Section: Introductionmentioning
confidence: 99%
“…A modified Nagatani hydrodynamic model [2] determines the optimal traffic flow velocity estimating the traffic flow difference in information between the actual flow and the optimal flow in line [3][4][5]. The results were obtained by changing the response sensitivity of the traffic flow variation.…”
Section: Introductionmentioning
confidence: 99%