Urban congestion gating control based on reduced operational network fundamental diagrams

Based on the recently proposed concept of an operational urban NFD (network fundamental diagram) and a feedback gating procedure, it is shown that simple, practicable and efficient gating control may be based on a strongly reduced amount of real-time measurements. The urban network of Chania, Greece, is used as a test-bed for the investigations within a realistic microscopic simulation environment. The results indicate that reduced NFDs, obtained with far less measurements than for a complete NFD, exhibit a critical range of traffic states that is virtually equivalent to its counterpart of the complete NFD; and that the provision of accordingly reduced amounts of real-time measurements for feeding the feedback regulator leads to virtually equivalent gating results as in the full measurement case. In the investigated example, feedback gating is demonstrated to lead to substantial improvements of travel delays, network throughput and travel time reliability.

[1]  Nikolaos Geroliminis,et al.  Properties of a well-defined Macroscopic Fundamental Diagram for urban traffic , 2011 .

[2]  Wuping Xin,et al.  New Signal Control Optimization Policy for Oversaturated Arterial Systems , 2010 .

[3]  Hong Kam Lo,et al.  Dynamic network traffic control , 2001 .

[4]  Peter Wagner,et al.  Analysis of Traffic Flow Characteristics on Signalized Arterials , 2004 .

[5]  Nikolas Geroliminis,et al.  Optimal Perimeter Control for Two Urban Regions With Macroscopic Fundamental Diagrams: A Model Predictive Approach , 2013, IEEE Transactions on Intelligent Transportation Systems.

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

[7]  Nikolaos Geroliminis,et al.  On the spatial partitioning of urban transportation networks , 2012 .

[8]  Athanasios K. Ziliaskopoulos,et al.  System Optimal Signal Optimization Formulation , 2006 .

[9]  Markos Papageorgiou,et al.  Exploiting the fundamental diagram of urban networks for feedback-based gating , 2012 .

[10]  David Bretherton,et al.  EFFECTIVE URBAN TRAFFIC MANAGEMENT AND CONTROL : RECENT DEVELOPMENTS IN SCOOT , 2003 .

[11]  Carlos F. Daganzo,et al.  Urban Gridlock: Macroscopic Modeling and Mitigation Approaches , 2007 .

[12]  Ghassan Abu-Lebdeh,et al.  Development of Traffic Control and Queue Management Procedures for Oversaturated Arterials , 1997 .

[13]  Markos Papageorgiou,et al.  Local Ramp Metering in Random-Location Bottlenecks Downstream of Metered On-Ramp , 2010 .

[14]  D. Helbing.  Derivation of a fundamental diagram for urban traffic flow , 2008, 0807.1843.

[15]  Luca Quadrifoglio,et al.  Using Ant Colony Optimization for Solving Traffic Signal Coordination in Oversaturated Networks , 2010 .

[16]  Bart De Schutter,et al.  Optimal Traffic Light Control for a Single Intersection , 1999, Eur. J. Control.

[17]  N. Geroliminis,et al.  An analytical approximation for the macropscopic fundamental diagram of urban traffic , 2008 .

[18]  N. Geroliminis,et al.  Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings - eScholarship , 2007 .

[19]  Markos Papageorgiou,et al.  Relating time-occupancy measurements to space-occupancy and link vehicle-count , 2008 .

[20]  P R Lowrie,et al.  The Sydney coordinated adaptive traffic system - principles, methodology, algorithms , 1982 .

[21]  Hong Kam Lo,et al.  A novel traffic signal control formulation , 1999 .