2021
DOI: 10.1109/access.2021.3049393
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A Macroscopic Model of Heterogeneous Traffic Flow Based on the Safety Potential Field Theory

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Cited by 14 publications
(5 citation statements)
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References 37 publications
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“…The Monte Carlo method encompasses a computational algorithm that relies on generating random objects [36]. The Monte Carlo method is considerably used in literature in the context of the transportation science [37][38][39][40]. Generally, Monte Carlo methods are mainly used in the three main problems of numerical integration, optimization, and generating samples from a probability distribution [36].…”
Section: Traffic Speed In Different Traffic Conditions: Monte Carlo Methodsmentioning
confidence: 99%
“…The Monte Carlo method encompasses a computational algorithm that relies on generating random objects [36]. The Monte Carlo method is considerably used in literature in the context of the transportation science [37][38][39][40]. Generally, Monte Carlo methods are mainly used in the three main problems of numerical integration, optimization, and generating samples from a probability distribution [36].…”
Section: Traffic Speed In Different Traffic Conditions: Monte Carlo Methodsmentioning
confidence: 99%
“…Modeling of heterogeneous traffic flows is presented in the works [17,18]. The authors of [17] have developed a new macroscopic model of a heterogeneous transport flow with partial connection to an automated environment based on the theory of a potential security field.…”
Section: Macroscopic Models Of the Traffic Flowsmentioning
confidence: 99%
“…Modeling of heterogeneous traffic flows is presented in the works [17,18]. The authors of [17] have developed a new macroscopic model of a heterogeneous transport flow with partial connection to an automated environment based on the theory of a potential security field. In the study [18], the macroscopic model of heterogeneous transport flow considers the velocity gradient and the driver's delay time in making decisions.…”
Section: Macroscopic Models Of the Traffic Flowsmentioning
confidence: 99%
“…When analysed in this vein, it was observed that some of the studies in the list examined the "cash flow theory" in finance but were included in the review pool as it included the statement of flow theory (e.g. Dunn et al, 2011;Eldomiaty & Ismail, 2009;Smith & Pennathur, 2019); some of them were related to the topics of informatics (Li, Ji, Gan, Qu & Ran, 2021;Wani, Raghavan, Abraham & Kleist, 2017) or mechanics (Ozdemir, Souli, & Fahjan, 2010); and some of them only mentioned flow theory within the text but did not use it as the main or one of the main theories of the study (e.g. Huang et al, 2019;Rodrigues et al, 2016;Tran & Chang, 2022).…”
Section: Inclusion and Exclusion Criteriamentioning
confidence: 99%