01476599

Component

https://doi.org/10.3141/2390-12

http://scholar.google.com....+Xi&publication_year=2013

Traffic congestion is a serious problem for big cities. The model-based optimization control strategy is an effective method for decreasing traffic congestion. A proper control performance criterion is a key factor for effectively addressing different urban road network issues, for example, network mobility and traffic congestion. Therefore, two control performance criteria are proposed—L2-norm and L∞-norm performance indexes—for model-based urban road network controllers. The L2-norm and L∞-norm performance indexes are aimed at keeping road network homogeneity and decreasing road network congestion, respectively. For analysis of these two control performance criteria, case studies were conducted with the microscopic simulation software CORSIM to evaluate the designed model-based controllers with different criteria. The control effects of the model-based road network controllers were compared quantitatively by analyzing the degree of road network congestion and qualitatively by analyzing the macroscopic fundamental diagram of the road network (i.e., a network aggregated characteristic).

01516646

13-1775

English

pp 112–120

2013

Transportation Research Record: Journal of the Transportation Research Board

9780309287159

Print

Figures (6) ; References (30)

Microsimulation; Performance; Traffic congestion; Traffic control; Traffic signal controllers

CORSIM (Traffic simulation model)

Fundamental diagram; Road networks

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I70: Traffic and Transport

TRIS, TRB, ATRI

Feb 5 2013 12:25PM

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