01629545

Component

https://doi.org/10.3141/2665-02

Ramp-metering control has long been an effective strategy in active traffic management and integrated corridor management and has received increased research attention in recent decades. Although most existing studies analyze ramp metering at the corridor level and in the context of traffic conditions and effects, how travelers respond to ramp-metering control often is neglected. This neglect is partially because of the lack of behavioral data. More important, a comprehensive modeling framework that models travel behavior and traffic dynamics for the evaluation of ramp-metering control is not readily available. This paper develops an integrated agent-based microsimulation to model travel behavior and traffic dynamics and applies the modeling approach to dynamic ramp-metering control. Minute-by-minute control of the ramp-metering rate not only encourages dynamic route changes but also can lead to day-to-day travel behavior adjustments because of the significant effect of ramp metering on traffic conditions in the affected freeway main line and the local area. A real-world application in Maryland demonstrates the model, showcases the behaviorally rich en route diversion and departure time responses to ramp-metering control, and assesses the corridor-level and regional traffic effects.

01648237

17-05923

English

pp 11–20

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309441810

Digital/other

Figures (6) ; Maps; References (26) ; Tables (1)

Dynamic traffic assignment; Freeways; Microsimulation; Ramp metering; Traffic simulation; Travel behavior

Maryland

Highways; Operations and Traffic Management; Planning and Forecasting

TRIS, TRB, ATRI

Dec 8 2016 12:23PM

• A Theory of Strong Ties, Weak Ties, and Activity Behavior: Leisure Activity Variety and Frequency
• Day Pattern Generation System for Jointly Modeling Tours and Stops: Bi-Level Multiple Discrete Continuous Probit Model
• Dynamics of Activity Time-of-Day Choice
• Ex Ante and Ex Post Evaluation of Smart Commute Strategies in the Greater Toronto and Hamilton Area of Canada: Comparison of Aggregate and Disaggregate Approaches
• Examination of Clusters for Better Understanding Commuter Cyclists’ Travel Behavior: Insights from a Longitudinal Panel Survey
• Homelessness vis-à-vis Transportation-Induced Social Exclusion: An Econometric Investigation of Travel Behavior of Homeless Individuals in Toronto, Canada
• Modeling Individual Preferences for Ownership and Sharing of Autonomous Vehicle Technologies
• Optimization Method to Improve Ecodriving Acceptance and Effectiveness Based on Driver Type Classification