01049618

Component

https://doi.org/10.3141/2012-03

http://scholar.google.com...hang&publication_year=2007

Understanding traffic diversion due to control actions is essential to the success of advanced traffic management systems such as ramp metering, arterial signal control, and traveler information services. This paper explores the systemwide traffic diversion effect of a well-documented control algorithm on a large real-world network. By using an unconventional positive approach that models how travelers actually learn the road network experientially and make heuristic route search and choice decisions in the presence of information and decision costs, this research is able to explore traffic diversion as an emergent process, with travelers’ decision-making processes individually traced. The supply-side effect of ramp metering is modeled as capacity changes at freeway bottlenecks and metered entrance ramps. Results show that only 1% of all peak-hour travelers (6,200) on the Twin Cities (Minneapolis–St. Paul), Minnesota, network change routes after meters are deployed, even though a much larger number of them (14%) are significantly hurt by the algorithm. It is also evident that ramp meters can benefit and hurt all types of roads in a large network, including freeways, local streets, and ramps. An important conclusion with practical significance is that different behavioral assumptions could produce opposing policy recommendations in traffic operations. For instance, models with normative assumptions (e.g., DUE) lead to systematic benefit overestimation because of a particular microbehavioral mechanism.

01084472

English

pp 20-29

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104388

Print

Figures (6) ; References (28)

Advanced traffic management systems; Algorithms; Arterial highways; Decision making; Highway operations; Peak hour traffic; Ramp metering; Route choice; Traffic diversion; Traveler information and communication systems

Twin Cities Metropolitan Area (Minnesota)

Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control

TRIS, TRB, ATRI

Feb 8 2007 6:47PM

• Characteristics of Breakdown Phenomenon in Merging Sections of Urban Expressways in Japan
• Evaluating Benefits of A Systemwide Adaptive Ramp-Metering Strategy in Portland, Oregon
• Evaluation of Effects of Ramp Metering on Merging Operations
• Evaluation of Impacts of Open Road Tolling on Main-Line Toll Plaza
• Freeway Bottleneck Simulation, Implementation, and Evaluation
• High-Occupancy Vehicle Lanes and Hybrid Vehicles
• Improving Queue Size Estimation for Minnesota’s Stratified Zone Metering Strategy
• License Plate and Telephone Numbers in Changeable Message Sign Amber Alert Messages
• Methodology for Identifying Vulnerable Sections in a National Road Network
• Modeling Freeway Diverging Behavior on Deceleration Lanes
• Probabilistic Data-Driven Approach for Real-Time Screening of Freeway Traffic Data
• Probe Vehicle Runs or Loop Detectors? Effect of Detector Spacing and Sample Size on Accuracy of Freeway Congestion Monitoring
• Safety Impacts of Freeway Managed-Lane Strategy: Inside Lane for High-Occupancy Vehicle Use and Right Shoulder Lane as Travel Lane During Peak Periods
• Simulation Analysis of Truck-Restricted and High-Occupancy Vehicle Lanes