An Automatic Calibration Procedure of Driving Behaviour Parameters in the Presence of High Bus Volume

Abstract

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 O-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.

Analysis of a Signalized Intersection with Dynamic Use of the Left-Turn Lane for Opposite through Traffic

“…To increase the accuracy of the VISSIM simulation model in the following steps, calibration was needed before the simulation and analysis. The standard calibration procedure proposed by previous studies was followed [39][40][41][42][43]. In this study, two types of simulation parameters had to be determined:…”

“…Several scholars have researched the calibration methods for these two kinds of models. Nima Dadashzadeh [39] proposed the complete procedures of the particle swarm algorithm (PSO) and genetic algorithm (GA) for microscopic simulation model calibration and then applied those procedures to calibrate the travel behavior models in VISSIM [40]. Chen Wang [41] applied semi-calibration to urban intersections in Shanghai, P. R. China, and selected the parameters that needed to be calibrated for the Wiedemann 74 model.…”

An Integrated Variable Speed Limit and ALINEA Ramp Metering Model in the Presence of High Bus Volume

“…Thus, before any analysis can take place, models need to be calibrated to be able to represent real-life conditions. An automatic calibration procedure of driving behavior parameters using a metaheuristic algorithm has been proposed previously by the authors [41,42]. In this research, a calibrated model of the study area, which has been previously calibrated and validated by the authors, was used.…”

“…In this research, a calibrated model of the study area, which has been previously calibrated and validated by the authors, was used. A brief summary of objective function and calibration results has been discussed below; however, to get detailed information regarding the calibration procedure, please see the authors' previous work [41,42].…”

“…As noted inTable 1, the simulation with default values of the driving behavior and lane change parameters gave us worse MANE and RMSE values compared to simulations with calibrated parameters using any of the metaheuristic methods examined. Summary of different objective function values for the optimization problem[41].…”