ACCEZZ—Adaptive Fuzzy Algorithms for Traffic Responsive and Coordinated Ramp Metering

Bogenberger, Klaus; Vukanović, Smiljan M.; Keller, Hartmut

doi:10.1061/40632(245)94

Cited by 18 publications

(18 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is also possible to define a weighting factor for each rule. The membership function can either be a triangle or a polygon (BOGENBERGER, 2001;VUKANOVIC ET AL., 2001). This fuzzy controller communicates with the situational cell-transmission model.…”

Section: Fuzzy Controllermentioning

confidence: 99%

Online traffic flow model applying the dynamic flow-density relation

Kim¹

2002

Eleventh International Conference on Road Transport Information and Control

View full text Add to dashboard Cite

Section: Fuzzy Controllermentioning

confidence: 99%

Online traffic flow model applying the dynamic flow-density relation

Kim¹

2002

Eleventh International Conference on Road Transport Information and Control

View full text Add to dashboard Cite

“…Various traffic-responsive ramp-metering strategies and their test results are described in numerous publications (e.g. Zhang et al, 2001;Bogenberger and May, 1999). Zhang et al, (2001) categorized the existing traffic-responsive ramp metering algorithms, as shown in Figure 2.1, by the extent of freeway conditions considered (system-wide vs. local) and by the way in which measured conditions are incorporated in deploying metering rates.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Bogenberger and May, 1999) The SWARM 2 mode is a traditional local metering system. The specific algorithm used varies by location, and can actually be any existing local traffic-responsive system.…”

Section: Algorithmmentioning

confidence: 99%

Using Archived ITS Data to Measure the Operational Benefits of a System-wide Adaptive Ramp Metering System

Bertini¹,

Monsere²,

Eshel³

et al. 2008

View full text Add to dashboard Cite

Type of Report and Period CoveredFinal Report Sponsoring Agency Code Supplementary Notes AbstractA System-Wide Adaptive Ramp Metering (SWARM) system has been implemented in the Portland, Oregon metropolitan area, replacing the previous pre-timed ramp-metering system that had been in operation since 1981. SWARM has been deployed on six major corridors and operates during the morning and afternoon peak hours. This report presents results of a -before‖ and -after‖ evaluation of the performance of two freeway corridors as part of ongoing efforts to measure the benefits of the new SWARM system, as compared to the pre-timed system. The study benefited from using the existing regional data, surveillance and communications infrastructure in addition to a regional data archive system. The evaluation revealed that the operation of the SWARM system, as currently configured in the Portland metropolitan region, produced mixed results when comparing the selected performance metrics to pre-timed operation. For the I-205 corridor, the results were generally positive. In the morning peak period, SWARM operation resulted in an 18.1% decrease in mainline delay and decreased variability in the delay. For the afternoon peak period, improvements were also found (a 7.9 % decrease in mainline delay) with the exception of moderately congested days which saw an 4.7% increase in mainline delay. On the OR-217, however, significant increases were found in overall average delay. In the morning peak period, delay increased 34.9% while in the afternoon period delay increased 55.0%. These conclusions, however, must be tempered because of lack of ramp demand data. If an assumption is made that ramp demand changes correspond with the measured freeway VMT changes, it is likely that ramp delay decreased under SWARM operation (i.e. more vehicles were allowed on the freeway which would equate to lower delay for vehicles on the ramps). Another important finding of this evaluation was that implementation of the SWARM algorithm resulted in significantly more data communication failures in the traffic management system. While this outcome is specific to the ODOT communication infrastructure and hardware, it was not anticipated. These communication failures have the potential to impact other traveler information programs that depend on the freeway surveillance data as well as the SWARM algorithm. Finally, one of the intentions of this research project was to encourage ongoing evaluation and continuous improvement of the ramp metering system and, in general, the overall freeway management system. It is clear from the analysis that meter activation times and rates are necessary to evaluate system performance. Incorporating additional logging capabilities into the SWARM system would make it easier to evaluate system operations on an on-going automated basis.17.

show abstract

“…A Dutch coordinated ramp metering algorithm was simulated and found to outperform non-coordinated metering (Yuan et al, 2009). Another coordinated ramp metering algorithm was implemented in Germany and showed promising results (Bogenberger et al, 2002).…”

Section: Adaptive Ramp Meteringmentioning

confidence: 99%

Early Empirical Evidence for the Effects of Adaptive Ramp Metering on Measures of Travel Time Reliability

Low¹

View full text Add to dashboard Cite

Early Empirical Evidence for the Effects of Adaptive Ramp Metering on Measures of Travel Time Reliability Travis Charles Low Adaptive ramp metering (ARM) is a critical component of smart freeway corridors under an active traffic management portfolio. While improving capacity through smart corridors and application of proactive traffic management solutions is less costly and easier to deploy than freeway widening, conversion to smart corridors still represents a sizable investment for a state department of transportation. Early evidence of improvements following these projects can be valuable to agencies. However, in the U.S. there have been limited evaluations, of smart corridors in general and ARM in particular, based on real operational data. This thesis explores travel time reliability measures for the eastbound (EB) Interstate 80 (I-80) corridor in the San Francisco Bay Area before and after implementation of ARM using INRIX data. These measures include buffer index, planning time, and measures from the literature that account for both skew and width of the travel time distribution. The measures are estimated for the entire corridor as well as corridor segments upstream of a bottleneck that historically have the worst measures of reliability. A new metric for measuring unreliability that may be derived from readily available INRIX data is also proposed in the thesis using data from the study corridor. While the ARM system is relatively new, the results indicate positive trends in measures v of reliability even as the number of incidents on the corridor has increased in line with the national crash trends. The spatio-temporal trend evaluation framework used here may be used in the future to obtain more robust conclusions. However, since multiple smart corridor components were installed simultaneously, it may not be possible to fully isolate the effects of the ARM, or any of the other systems, individually.

show abstract

ACCEZZ—Adaptive Fuzzy Algorithms for Traffic Responsive and Coordinated Ramp Metering

Cited by 18 publications

References 0 publications

Online traffic flow model applying the dynamic flow-density relation

Online traffic flow model applying the dynamic flow-density relation

Using Archived ITS Data to Measure the Operational Benefits of a System-wide Adaptive Ramp Metering System

Early Empirical Evidence for the Effects of Adaptive Ramp Metering on Measures of Travel Time Reliability

Contact Info

Product

Resources

About