Urban Traffic Simulators for Intelligent Transportation Systems

Haas, Olivier C.L.; Kamran, Shoaib; Jaworski, Pawel; Gheorghe, Ionut

doi:10.1177/0020294013510472

Cited by 3 publications

(1 citation statement)

References 23 publications

(42 reference statements)

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“…A hardware simulation setup to estimate vertical acceleration in the vehicle cabin influenced by road disturbances is presented by Kararsiz et al (2020). Traffic simulators can provide a valuable tool for identifying the most appropriate solution for specific circumstances (Haas et al, 2013). Statistics about traffic occupancy, obtained by vehicle detectors, can be used to control traffic lights.…”

Section: Introductionmentioning

confidence: 99%

The practical design of a vehicle magnetic signature generator

Stojanovic

Vračar

Živaljević

et al. 2023

Transactions of the Institute of Measurement and Control

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Designing of the vehicle magnetic signature generator is presented in this paper. The basic concept used in designing is distortion of the Earth’s magnetic field that occurs in the presence of ferromagnetic materials. The experimental setup for measuring the magnetic field distortion caused by a vehicle is presented, and based on the obtained values of the magnetic field, input data for signature generator are obtained. The magnetic signature generator consists of a solenoid with a copper wire wound on the bobbin made by the three-dimensional (3D) printer, and an arbitrary function generator RIGOL DG1022Z. Determination of the solenoid parameters and a voltage level of a generator are described thoroughly. In order to demonstrate performances of the generator, magnetic signatures of four different vehicles are generated by proposed design and compared with measured ones by Pearson’s correlation coefficient, indicating a greater correlation than 0.993.

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Section: Introductionmentioning

confidence: 99%

The practical design of a vehicle magnetic signature generator

Stojanovic

Vračar

Živaljević

et al. 2023

Transactions of the Institute of Measurement and Control

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A Dual Ring Connectivity Model for VANET Under Heterogeneous Traffic Flow

Umer

Afzal

Munir

et al. 2017

Wireless Pers Commun

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Prediction of queuing length at metering roundabout using adaptive neuro fuzzy inference system

Abdalla

2019

Measurement and Control

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A metering roundabout where traffic is controlled by signals where phase times are influenced by queue detector occupancy may be the solution to reduce queue lengths under unbalanced traffic flows. In the past decades, a number of studies have attempted to evaluate the effectiveness of metering roundabout, especially on the dominant approach. Little studies, however, have been directed on prediction of the queuing lengths, which is essential to determine the detector locations. This paper introduces a queue length estimation model using adaptive neuro fuzzy inference system for unbalanced roundabout traffic flows. The adaptive neuro fuzzy inference system model consists of an input layer representing four parameters as arrival volumes, conflicting volumes, phase green and red time, and output layer with four neuron representing queuing length. MATLAB software and additional statistical tests were used as the tool to develop the models for the data. In order to conduct credible model validations, model output data were compared against the observed data collected using drones. The results from the analysis demonstrated that adaptive neuro fuzzy inference system model is able to estimate the queuing length at metering roundabouts. Thus, it is expected that the adaptive neuro fuzzy inference system model will help practitioners in determining optimal detector locations and will be a foundation research for roundabouts with signals.

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Urban Traffic Simulators for Intelligent Transportation Systems

Cited by 3 publications

References 23 publications

The practical design of a vehicle magnetic signature generator

The practical design of a vehicle magnetic signature generator

A Dual Ring Connectivity Model for VANET Under Heterogeneous Traffic Flow

Prediction of queuing length at metering roundabout using adaptive neuro fuzzy inference system

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