Search results for "Speed-density relationship"

showing 3 items of 3 documents

Traffic simulation models calibration using speed–density relationship: An automated procedure based on genetic algorithm

2016

Calibration of traffic models.Calibration as optimization problem.Use of genetic algorithm. This paper presents the first results of a research which applied a genetic algorithm to calibrate a microscopic traffic simulation model based on speed-density relationships. A large set of traffic data collected from the A22 Freeway, Italy, was used and a comparison was performed between the field measurements and the simulation outputs obtained for a test freeway segment by using the Aimsun microscopic simulator.The calibration was formulated as an optimization problem to be solved based on a genetic algorithm; the objective function was defined in order to minimize the differences between the sim…

Optimization problemComputer science02 engineering and technologySoftwareSettore ING-INF/04 - AutomaticaArtificial Intelligence0502 economics and businessGenetic algorithm0202 electrical engineering electronic engineering information engineeringCalibrationSettore ICAR/04 - Strade Ferrovie Ed AeroportiMATLABSimulationcomputer.programming_language050210 logistics & transportationbusiness.industry05 social sciencesGeneral EngineeringTraffic simulationPython (programming language)AimsunMicroscopic traffic simulation model CalibrationSpeed-density relationshipComputer Science ApplicationsGenetic algorithm020201 artificial intelligence & image processingbusinessAlgorithmcomputerData transmissionExpert Systems with Applications
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A statistical approach for calibrating a microsimulation model for freeways

2014

In this paper the calibration of a traffic microsimulation model based on speed-density relationships is presented. Hypothesis test was applied in the calibration process to measure the closeness between empirical data and simulation outputs and determine whether the difference between (observed and simulated) speed-density relationships was statistically significant. Statistical regressions between the variables of traffic flow were developed by using traffic data observed at the A22 Brenner Freeway, Italy. Similar relationships were obtained for a test freeway segment in uncongested conditions of traffic flow by using the Aimsun microscopic simulator; thus on field conditions were reprodu…

freeway traffic microsimulation speed-density relationship calibration AimsunSettore ICAR/04 - Strade Ferrovie Ed Aeroporti
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A microsimulation calibration methodology based on speed-density relationships for freeways

2014

This paper describes the calibration methodology based on speed-density relationships in the microsimulation calibration process, stated that they represent the traffic flow phenomenon in a wide range of operational conditions and well summarize all the information that may be collected on field (or following a run of the microsimulation model) on two of the three key variables of traffic flow. The matching of speed-density relationships from field and simulation was evaluated using statistical analysis as technique of pattern recognition. A test freeway segment under uncongested traffic conditions was selected as case study; based on traffic data observed at A22 Brenner Freeway, Italy, sta…

speed-density relationshipfreewaysSettore ICAR/04 - Strade Ferrovie Ed AeroportiMicrosimulation
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