User Mobility Model based on Street Pattern

Paschos, Georgios S.; Vagenas, Efstathios D.; Kotsopoulos, Stavros

doi:10.1109/vetecs.2005.1543709

Cited by 3 publications

(8 citation statements)

References 7 publications

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“…The third parameter is simply the cell radius, R. However, this parameter is necessary for the application of the model in an arbitrary cell. The inclusion of this parameter is an extension to [9]. Average values for N X , N X tr , rw, and R can be found in a road map.…”

Section: Model Designmentioning

confidence: 99%

“…In [9], however, it is proposed that this behavior is the result of the distortion of a Gaussian velocity caused by the pause times. This means that modeling the velocity as Gaussian and including probabilistic pause times at crossings produce a more realistic and intuitive model that can fit the measurements of [3].…”

Section: Velocitymentioning

confidence: 99%

“…The proposed model is a statistical model which can be seen as an extension of [9]. ST and RST are assumed to follow a gamma distribution as in [2][3][4]9].…”

Section: Introductionmentioning

confidence: 99%

“…ST and RST are assumed to follow a gamma distribution as in [2][3][4]9]. However, this model connects a set of cell parameters with the gamma distribution parameters a and b.…”

Section: Introductionmentioning

confidence: 99%

“…Issues related to traffic are explained further. In comparison to [9], the cell radius parameter is added to provide solution to any cell size ranging from 100 m to 1 km. In addition, the derivation of turning probability is elaborated to incorporate normal driver behavior.…”

Section: Introductionmentioning

confidence: 99%

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A Deterministic Simulation Model for Sojourn Time in Urban Cells with Square Street Geometry

Paschos

Tsoulos

Vagenas

et al. 2008

International Journal of Vehicular Technology

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A deterministic simulation model for the calculation of sojourn time statistics is proposed. The model is designed for urban cells taking into account city movement in street pattern, traffic lights, and crossings. Sojourn time and remaining sojourn time are assumed to be random variables that follow a gamma distribution. The parameters of gamma are found for a range of the chosen cell parameters (road length, probability of stopping at a crossing and cell radius) using Monte Carlo simulation. Then, the values are fitted to the empirical model using genetic algorithms with grammatical evolution. The model can be used to calculate sojourn time statistical parameters for any urban circular cell with square street pattern.

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Section: Model Designmentioning

confidence: 99%

Section: Velocitymentioning

confidence: 99%

“…The proposed model is a statistical model which can be seen as an extension of [9]. ST and RST are assumed to follow a gamma distribution as in [2][3][4]9].…”

Section: Introductionmentioning

confidence: 99%

“…ST and RST are assumed to follow a gamma distribution as in [2][3][4]9]. However, this model connects a set of cell parameters with the gamma distribution parameters a and b.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations