A Microsimulation Calibration Methodology Based on Speed-Density Relationships for Freeways
Raffaele Mauro, Orazio Giuffrè, Anna Granà, Sandro Chiappone
Abstract
Raffaele Mauro, Orazio Giuffrè, Anna Granà, Sandro Chiappone
Abstract
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 \ninformation 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 \ntechnique of pattern recognition. A test freeway segment under uncongested traffic conditions was selected as case study; based on \ntraffic data observed at A22 Brenner Freeway, Italy, statistical regressions between the variables of traffic flow were developed. \nAnalogous relationships were obtained using the Aimsun microscopic traffic simulator software, reproducing the on field conditions and varying some selected parameters until a good matching between field and simulation was achieved
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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 \ninformation 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 \ntechnique of pattern recognition. A test freeway segment under uncongested traffic conditions was selected as case study; based on \ntraffic data observed at A22 Brenner Freeway, Italy, statistical regressions between the variables of traffic flow were developed. \nAnalogous relationships were obtained using the Aimsun microscopic traffic simulator software, reproducing the on field conditions and varying some selected parameters until a good matching between field and simulation was achieved
Key concepts: Microsimulation, Calibration, Matching (statistics), Traffic flow (computer networking), Traffic simulation, Computer science, Range (aeronautics), Field (mathematics)