As freeway traffic congestion spreads ramp metering is implemented to address the problem. However, recently there is increasing opposition to freeway ramp control caused by excessive ramp delays. The objective of this research is to employ a recently developed tool called Traffic Management Laboratory (TRAMLAB) for assessing the effectiveness of Mn/DOT's control strategy in three Twin Cities freeway sections totaling approximately 65 miles. The feasibility of a corridor simulation will be followed by the selection and preliminary model development of the combination of an arterial and a freeway in the Twin Cities. As a result of this testing, TRAMLAB will evolve into an effective tool for developing control strategies that could reduce ram...
This study evaluates the expected benefits of using the ALINEA ramp metering algorithm as a method f...
This work is licensed under a Creative Commons Attribution 4.0 International License.Ramp metering h...
This study presents a real-time crash prediction model and uses this model to investigate the effect...
Ramp metering is one way to address freeway traffic congestion. This study employs the Traffic Manag...
Freeway ramp control has been successfully implemented since mid 60's, as an efficient and viable fr...
45832331Transferred from EDL on 5/14/2008PDFResearch PaperNTIS-PB2001107492Ramp meteringFreeway oper...
To streamline traffic flow and reduce backups on Twin Cities highways, Mn/DOT engineers researched w...
This study evaluates the expected benefits of using the ALINEA ramp metering algorithm as a method f...
This study evaluates the expected benefits of using the ALINEA ramp metering algorithm as a method f...
Ramp metering has been found to improve traffic conditions on the freeway mainline by breaking the p...
Freeways and highways form an integral part of any road network system demanding significant quantit...
Managing freeway congestion requires an integrated approach involving demand-responsive ramp meterin...
Surface transportation in the United States faces a number of problems. Despite the fact that the Un...
008070782001PDFResearch PaperNTIS-PB2001107493Ramp meteringFreeway operationsTraffic congestionHighw...
013388092011Final ReportPDFTech ReportCTS 11-05AlgorithmsFreewaysMicrosimulationRamp meteringTraffic...
This study evaluates the expected benefits of using the ALINEA ramp metering algorithm as a method f...
This work is licensed under a Creative Commons Attribution 4.0 International License.Ramp metering h...
This study presents a real-time crash prediction model and uses this model to investigate the effect...
Ramp metering is one way to address freeway traffic congestion. This study employs the Traffic Manag...
Freeway ramp control has been successfully implemented since mid 60's, as an efficient and viable fr...
45832331Transferred from EDL on 5/14/2008PDFResearch PaperNTIS-PB2001107492Ramp meteringFreeway oper...
To streamline traffic flow and reduce backups on Twin Cities highways, Mn/DOT engineers researched w...
This study evaluates the expected benefits of using the ALINEA ramp metering algorithm as a method f...
This study evaluates the expected benefits of using the ALINEA ramp metering algorithm as a method f...
Ramp metering has been found to improve traffic conditions on the freeway mainline by breaking the p...
Freeways and highways form an integral part of any road network system demanding significant quantit...
Managing freeway congestion requires an integrated approach involving demand-responsive ramp meterin...
Surface transportation in the United States faces a number of problems. Despite the fact that the Un...
008070782001PDFResearch PaperNTIS-PB2001107493Ramp meteringFreeway operationsTraffic congestionHighw...
013388092011Final ReportPDFTech ReportCTS 11-05AlgorithmsFreewaysMicrosimulationRamp meteringTraffic...
This study evaluates the expected benefits of using the ALINEA ramp metering algorithm as a method f...
This work is licensed under a Creative Commons Attribution 4.0 International License.Ramp metering h...
This study presents a real-time crash prediction model and uses this model to investigate the effect...