A Novel Traffic Stream Model Deriving from a Bimodal Kinetic Equilibrium 1

AbstractPaper presents validation of previously created stochastic ships traffic stream model by the real data of ships delays on Świnoujście — Szczecin waterway. The model is mostly based on Monte Carlo methodology. The model is microscopic which means that each ship’s model is treated as separate object possessing given attributes. As the main parameter of presented validation total waiting (delay) time of ships have been applied. The time of ships delays was possessed from Szczecin VTS centre and compared with the model output.

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Calibration of the empirical fundamental relationship using very large databases

TRANSPORTES ◽

10.14295/transportes.v29i1.2317 ◽

2021 ◽

Vol 29 (1) ◽

pp. 212-228

Author(s):

Juliana Mitsuyama Cardoso ◽

Lucas Assirati ◽

José Reynaldo Setti

Keyword(s):

Model Fitting ◽

Traffic Monitoring ◽

Metropolitan Region ◽

Model Parameters ◽

Inaccurate Data ◽

Fundamental Relationship ◽

Large Databases ◽

Traffic Stream ◽

Very Large Databases ◽

Stream Model

This paper describes a procedure for fitting traffic stream models using very large traffic databases. The proposed approach consists of four steps: (1) an initial treatment to eliminate noisy, inaccurate data and to homogenize the information over the density range; (2) a first fitting of the model, based on the sum of squared orthogonal errors; (3) a second filter, to eliminate outliers that survived the initial data treatment; and (4) a second fitting of the model. The proposed approach was tested by fitting the Van Aerde traffic stream model to 104 thousand observations collected by a permanent traffic monitoring station on a freeway in the metropolitan region of São Paulo, Brazil. The model fitting used a genetic algorithm to search for the best values of the model parameters. The results demonstrate the effectiveness of the proposed approach.

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A traffic stream model for heterogeneous traffic conditions

Proceedings of the Institution of Civil Engineers - Transport ◽

10.1680/tran.12.00038 ◽

2014 ◽

Vol 167 (4) ◽

pp. 240-247 ◽

Cited By ~ 2

Author(s):

Ajitha Thankappan ◽

Lelitha Vanajakshi

Keyword(s):

Heterogeneous Traffic ◽

Traffic Conditions ◽

Traffic Stream ◽

Stream Model

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Derivation of Van Aerde Traffic Stream Model and Studying the Effect of Ramp Metering

International Journal of Advanced Research in Engineering ◽

10.24178/ijare.2015.1.2.01 ◽

2015 ◽

Vol 1 (2) ◽

pp. 1

Author(s):

Karan Arora ◽

Saeid Saidi ◽

Bidoura Khondaker ◽

Lina Kattan

Keyword(s):

Traffic Flow ◽

Ramp Metering ◽

Traffic Condition ◽

Traffic Demand ◽

Flow Models ◽

Traffic Stream ◽

Traffic Flow Models ◽

Government Of Canada ◽

Stream Model ◽

Evening Peak

With increase in population, demand for traffic is increasing tremendously. As a consequence congestion on urban freeways or highways during the morning and evening peak hours is always increasing. This research examines the traffic condition on Highway 2(i.e Deerfoot Trail), Calgary,Canada by providing ramp metering (funded by Government of Canada in Collaboration with MITACS Globalink Program). In order to accommodate increasing traffic demand, constructing new highways and adding lanes is not always the best option. Instead proper management of transportation system can help in increasing its efficiency. It is therefore important to increase our understanding of traffic flow models to help estimating the efficiency of different road facilities and therefore prepare us to make enlightened decisions in the design process of new road facilities or improving older ones.

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