Empirical evaluation of Brisbane macroscopic fundamental diagram

The Macroscopic Fundamental Diagram (MFD) relates space-mean density and flow, and the existence with dynamic features was confirmed in congested urban network with real data set from loop detectors and taxi probes. Since the MFD represents the area-wide network traffic performances, it gives foundations for perimeter control strategies and an area traffic state estimation enabling area-based network control. However, limited works have been reported on real world example from signalised arterial network. This paper fuses data from multiple sources (Bluetooth, Loops and Signals) and develops a framework for the development of the MFD for Brisbane. Existence of the MFD in Brisbane network is confirmed. Different MFDs (from whole network and several sub regions) are evaluated to discover the spatial partitioning in network performance representation.

[1]  Ashish Bhaskar,et al.  Fusing Loop Detector and Probe Vehicle Data to Estimate Travel Time Statistics on Signalized Urban Networks , 2011, Comput. Aided Civ. Infrastructure Eng..

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

[3]  Nikolaos Geroliminis,et al.  On the stability of traffic perimeter control in two-region urban cities , 2012 .

[4]  Henry X. Liu,et al.  Real-time queue length estimation for congested signalized intersections , 2009 .

[5]  Xuegang Jeff Ban,et al.  Real time queue length estimation for signalized intersections using travel times from mobile sensors , 2011 .

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

[7]  Hisatomo Hanabusa,et al.  Traffic information provision suitable for TV broadcasting based on macroscopic fundamental diagram from floating car data , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

[8]  Darcy M. Bullock,et al.  Input–Output and Hybrid Techniques for Real-Time Prediction of Delay and Maximum Queue Length at Signalized Intersections , 2007 .

[9]  Ashish Bhaskar,et al.  Information provision and network performance represented by Macroscopic Fundamental Diagram , 2013 .

[10]  Markos Papageorgiou,et al.  A Simplified Estimation Scheme for the Number of Vehicles in Signalized Links , 2010, IEEE Transactions on Intelligent Transportation Systems.

[11]  Nikolaos Geroliminis,et al.  Increasing mobility in cities by controlling overcrowding , 2007 .

[12]  Nikolas Geroliminis,et al.  An empirical analysis on the arterial fundamental diagram , 2011 .

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

[14]  F. Webster TRAFFIC SIGNAL SETTINGS , 1958 .

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

[16]  Le Minh Kieu,et al.  Bus and car travel time on urban networks: integrating bluetooth and bus vehicle identification data , 2012 .

[17]  Dirk Helbing,et al.  The spatial variability of vehicle densities as determinant of urban network capacity , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[18]  S. P. Hoogendoorn,et al.  Routing Strategies Based on Macroscopic Fundamental Diagram , 2012 .

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

[20]  Christine Buisson,et al.  Exploring the Impact of Homogeneity of Traffic Measurements on the Existence of Macroscopic Fundamental Diagrams , 2009 .

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

[22]  Ashish Bhaskar,et al.  Estimation of Travel Time on Urban Networks with Midlink Sources and Sinks , 2009 .

[23]  Edward Chung,et al.  Algorithm for Queue Estimation with Loop Detector of Time Occupancy in Off-Ramps on Signalized Motorways , 2012 .

[24]  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.

[25]  Ashish Bhaskar,et al.  Analysis for the Use of Cumulative Plots for Travel Time Estimation on Signalized Network , 2010, Int. J. Intell. Transp. Syst. Res..

[26]  Ashish Bhaskar,et al.  Arterial traffic congestion analysis using Bluetooth Duration data , 2011 .