Area-Wide Ramp Metering for Targeted Incidents: The Additive Increase, Multiplicative Decrease Method

AbstractRamp metering has been broadly accepted and deployed as an effective countermeasure against both recurrent and nonrecurrent congestion on freeways. However, several current ramp metering algorithms tend to optimize only freeway travels using local detectors’ inputs and overlook the negative impacts on local streets. This may generate two problems: (1) the optimal local settings may not result in a system-wide optimum in terms of traffic operations; and (2) the increased congestion on local streets due to on-ramp overflow may counteract the gains in freeway operations. To solve these problems for nonrecurrent cases, we propose an area-wide ramp metering (AIMD) system to coordinate the previously isolated ramp meters for system-wide optimization. This novel strategy for active ramp metering is inspired by the principles of a computer network congestion control algorithm. In this strategy, certain types of congestion at a targeted freeway location can be significantly reduced by limiting vehicle flow...

[1]  David M Levinson,et al.  Balancing Efficiency and Equity of Ramp Meters , 2005 .

[2]  Xinkai Wu,et al.  Improving Queue Size Estimation for Minnesota's Stratified Zone Metering Strategy , 2007 .

[3]  Cynthia Taylor,et al.  Algorithm Design, User Interface, and Optimization Procedure for a Fuzzy Logic Ramp Metering Algorithm: A Training Manual for Freeway Operations Engineers , 2000 .

[4]  Xiaolei Ma,et al.  Short-Term Traffic Flow Forecasting for Freeway Incident-Induced Delay Estimation , 2014, J. Intell. Transp. Syst..

[5]  Panos G Michalopoulos,et al.  Minnesota's New Ramp Control Strategy: Design Overview and Preliminary Assessment , 2004 .

[6]  Bruce S. Davie,et al.  Computer Networks: A Systems Approach , 1996 .

[7]  J Alan Guidebook on Incident Management Planning in Work Zones , 2005 .

[8]  David M Levinson,et al.  Ramp Metering and Freeway Bottleneck Capacity , 2009 .

[9]  P J Wong,et al.  GUIDELINES FOR DESIGN AND OPERATION OF RAMP CONTROL SYSTEMS , 1975 .

[10]  Robert L. Bertini,et al.  Evaluating Benefits of Systemwide Adaptive Ramp-Metering Strategy in Portland, Oregon , 2007 .

[11]  Frank W. Ciarallo,et al.  RHODES-ITMS-MILOS: RAMP METERING SYSTEM TEST , 2002 .

[12]  Markos Papageorgiou,et al.  Modelling and real-time control of traffic flow on the southern part of Boulevard Peripherique in Paris: Part II: Coordinated on-ramp metering , 1990 .

[13]  Wang,et al.  Review of road traffic control strategies , 2003, Proceedings of the IEEE.

[14]  Hojjat Adeli,et al.  Neural Network-Wavelet Microsimulation Model for Delay and Queue Length Estimation at Freeway Work Zones , 2006 .

[15]  Klaus Bogenberger,et al.  Advanced Coordinated Traffic Responsive Ramp Metering Strategies , 1999 .

[16]  Yinhai Wang,et al.  Developing an Area-Wide System for Coordinated Ramp Meter Control , 2008 .

[17]  Cynthia Taylor,et al.  Fuzzy Ramp Metering: Design Overview and Simulation Results , 1998 .

[18]  Jun Cai,et al.  Video-Based Automatic Incident Detection for Smart Roads: The Outdoor Environmental Challenges Regarding False Alarms , 2008, IEEE Transactions on Intelligent Transportation Systems.

[19]  Raj Jain,et al.  Analysis of the Increase and Decrease Algorithms for Congestion Avoidance in Computer Networks , 1989, Comput. Networks.

[20]  Markos Papageorgiou,et al.  ALINEA: A LOCAL FEEDBACK CONTROL LAW FOR ON-RAMP METERING , 1990 .