01566121

Component

http://www.trb.org/Main/Blurbs/172506.aspx

A rapidly expanding range of traffic and transportation applications call for accurate dynamic modelling of traffic flow due to their potential impact on community and environmental decision making. The complexity of these applications dictates that detailed traffic simulation models are increasingly being used for such purposes. These models, having either stochastic inputs or stochastic model components, yield stochastic outputs, which is relevant and a required feature being reality inherently uncertain. In order to consider a model valid, therefore, the analyst has to verify that the uncertainty in the model outputs be close enough to the uncertainty in the real world. It is claimed in this abstract that a shift towards the adoption of advanced techniques for the management of the modeling uncertainty in traffic simulation is highly necessary. The clarification of some common misconceptions—hindering a correct framing of the problem and a proper utilization of traffic simulation tools—is preliminary to the comprehension and the adoption of any such technique.

01566122

English

pp 84-91

2015-4

Transportation Research Circular

Print

Figures; References

Stochastic processes; Traffic flow; Traffic flow theory; Traffic models; Traffic simulation; Uncertainty

Highways; Operations and Traffic Management; Planning and Forecasting; I71: Traffic Theory

TRIS, TRB, ATRI

Jun 10 2015 11:03AM

• Big Data and the Calibration and Validation of Traffic Simulation Models
• Brief History of Traffic Simulation
• Evolution of SUMO’s Simulation Model
• Evolution of the TEXAS Model for Intersection Traffic Simulation Animation and Traffic Flow Theory Milestones
• History of VISSIM’s Development
• Looking Forward, Looking Back on Computer Simulation Models of Safety
• Traffic Flow Modeling: Genealogy