2021
DOI: 10.1016/j.cnsns.2020.105541
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Analysis of mixed traffic with connected and non-connected vehicles based on lattice hydrodynamic model

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Cited by 49 publications
(17 citation statements)
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“…With the rapid population expansion and car ownership growth, traffic congestion becomes a topic issue over the past decade. To solve this issue, various traffic models [1][2][3][4][5][6][7] have been put forward to investigate the characteristics of traffic flow. Generally, there are two kinds of traffic models, i.e., macroscopic traffic flow models [8][9][10] and microscopic traffic flow models [11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…With the rapid population expansion and car ownership growth, traffic congestion becomes a topic issue over the past decade. To solve this issue, various traffic models [1][2][3][4][5][6][7] have been put forward to investigate the characteristics of traffic flow. Generally, there are two kinds of traffic models, i.e., macroscopic traffic flow models [8][9][10] and microscopic traffic flow models [11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…e lattice hydrodynamic model is composed of partial differential equations whose space is discrete and time is continuous, and its form is simple, so it is widely used to study traffic problems. Recently, the lattice hydrodynamic model has been used to study various traffic phenomena, and in this process, this model has also been developed [10][11][12][13][14][15][16][17][18][19]. On the problem of restraining traffic congestion, scholars have given the corresponding control scheme based on the lattice hydrodynamic model [10][11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%
“…ese control schemes have a great control effect. Meanwhile, due to the complexity of the actual traffic, it is often affected by many factors, so researchers further develop the lattice hydrodynamic model [15][16][17][18][19][20][21][22][23][24][25][26]. In order to more accurately describe the traffic state, many practical factors, such as time-varying delay in sensing traffic flux [15], predictive effect [16], and memory effect [17], have been taken into account.…”
Section: Introductionmentioning
confidence: 99%
“…Connected Vehicles (CVs) have emerged recently due to the development of communication technologies and Intelligent Transport Systems (ITS) services. Recently, many researchers are covering the CVs topic with the research regarding collaborative machine learning [ 2 ], CVs in the mixed traffic flow environment [ 3 ], CVs security [ 4 ], and upcoming challenges [ 5 ].…”
Section: Introductionmentioning
confidence: 99%