An automatic calibration procedure of driving behaviour parameters in the presence of high bus volume
Yükleniyor...
Dosyalar
Tarih
2019-11
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Faculty of Transport and Traffic Engineering
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Most of the microscopic traffic simulation programs used today incorporate car-following and lane-change models to simulate driving behaviour across a given area. The main goal of this study has been to develop an automatic calibration process for the parameters of driving behaviour models using metaheuristic algorithms. Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and a combination of GA and PSO (i.e. hybrid GAPSO and hybrid PSOGA) were used during the optimization stage. In order to verify our proposed methodology, a suitable study area with high bus volume on-ramp from the 0-1 Highway in Istanbul has been modelled in VISSIM. Traffic data have been gathered through detectors. The calibration procedure has been coded using MATLAB and implemented via the VISSIM-MATLAB COM interface. Using the proposed methodology, the results of the calibrated model showed that hybrid GAPSO and hybrid PSOGA techniques outperformed the GA-only and PSO-only techniques during the calibration process. Thus, both are recommended for use in the calibration of microsimulation traffic models, rather than GA-only and PSO-only techniques.
Açıklama
Anahtar Kelimeler
Algorithm, Automation, Calibration, Driving behaviour, Estimation, Genetic algorithm, Heuristics, Hybrid pso-ga, Istanbul [Turkey], Link flows, Microsimulation, Optimization, Parameterization, Particle swarm optimization, Road traffic, Traffic control, Traffic simulation models, Transportation mode, Turkey, VISSIM
Kaynak
Promet - Traffic - Traffico
WoS Q Değeri
Q4
Scopus Q Değeri
Q2
Cilt
31
Sayı
5
Künye
Dadashzadeh, N., Ergün, M., Kesten, S. & Žura, M. (2019). An automatic calibration procedure of driving behaviour parameters in the presence of high bus volume. Promet - traffic&transportation, 31(5), 491-502. doi:10.7307/ptt.v31i5.3100
