Driver Behavior Models for Heavy Vehicles and Passenger Cars at a Work Zone

Traffic impact assessment is a key step in the process of work zone planning and scheduling for transportation agencies. Microscopic traffic simulation models enable transportation agencies to conduct detailed analyses of work zone mobility performance measures during the planning and scheduling pro...

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Bibliographic Details
Published in:Sustainability 2019-11, Vol.11 (21), p.6007
Main Authors: Mahmood, Bawan, Kianfar, Jalil
Format: Article
Language:English
Subjects:
Automobiles
Calibration
Driver behavior
Flow rates
Flow velocity
Headways
Heavy vehicles
Literature reviews
Measuring instruments
Optimization
Parameters
Passengers
Queuing theory
Research methodology
Scheduling
Sensitivity analysis
Simulation
Software
Sustainability
Tapering
Traffic congestion
Traffic impact assessment
Traffic models
Traffic planning
Transportation models
Vehicles
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Summary:Traffic impact assessment is a key step in the process of work zone planning and scheduling for transportation agencies. Microscopic traffic simulation models enable transportation agencies to conduct detailed analyses of work zone mobility performance measures during the planning and scheduling process. However, traffic simulation results are valid only when the simulation model is calibrated to replicate driver behavior that is observed in the field. Few studies have provided guidance on the calibration of traffic simulation models at work zones and have offered driver behavior parameters that reproduce capacity values that are observed in the field. This paper contributes to existing knowledge of work zone simulation by providing separate driver behavior model parameters for heavy vehicles and passenger vehicles. The driver behavior parameters replicate the flow and speed at the work zone taper and at roadway segments upstream of the work zone. A particle swarm optimization framework is proposed to improve the efficiency of the calibration process. The desired time headway was found to be 2.31 seconds for heavy vehicles and 1.53 seconds for passenger cars. The longitudinal following threshold was found to be 17.64 meters for heavy vehicles and 11.70 meters for passenger cars. The proposed parameters were tested against field data that had not previously been used in the calibration of driver behavior models. The average absolute relative error for flow rate at the taper was 10% and the mean absolute error was 54 veh/h/ln. The GEH statistic for the validation dataset was 1.48.
ISSN:2071-1050
2071-1050
DOI:10.3390/su11216007