Validation of a mathematical model to estimate turning movements as roundabouts using field data

In this paper, a mathematical model was presented and used to determine turning movements at roundabouts based on field data. Assumptions were made in order to simplify the model; such as no U_turns from and to the same arm of a roundabout, total traffic into the roundabout is equal to total traffic out of the roundabout and traffic is homogenous (i.e. mainly consisting of cars). Using Gaussian elimination, turning movements could be estimated for 3_, 4_ and 5_arm roundabouts for the indeterminate traffic stream movements when inflows and outflows for each arm of the roundabout is known together with a flow stream on one internal circulating (weaving) section between any two arms of the roundabout. The model has practical use in reducing the number of detectors or counters (whether automatic, videoing techniques or manual methods are in use) which are needed in collecting data to determine the estimated flows from and to the different parts of a roundabout. The reduction in the number of detectors (or traffic counts) could be due to site limitations caused by faulty or limited number of counters used, inaccessible sections for obtaining video images for later analysis (e.g. presence of sharp bends, buildings or large trees obscuring vision). The benefits in cut saving costs could be significant in terms of time and man-power needed on site, and this could depend on the amount of traffic flow through the roundabout. The model was validated against data obtained from different sites and the results were found to be satisfactory.

[1]  A Mekky ON ESTIMATING TURNING FLOWS AT ROAD JUNCTIONS , 1979 .

[2]  Laurence R. Rilett,et al.  Real‐Time OD Estimation Using Automatic Vehicle Identification and Traffic Count Data , 2002 .

[3]  L Mountain,et al.  THE ESTIMATION OF TURNING FLOWS FROM TRAFFIC COUNTS: 2, AT FIVE-ARM INTERSECTIONS , 1986 .

[4]  K. Jörnsten,et al.  Estimation of origin-destination matrices from traffic counts using multiobjective programming formulations , 1989 .

[5]  L Mountain,et al.  PRIOR INFORMATION AND THE ACCURACY OF TURNING FLOW ESTIMATES , 1983 .

[6]  Sabah S. Razouki,et al.  Estimation of Turning Movement at Three-Arm Rotaries , 1997 .

[7]  M. Cremer,et al.  A new class of dynamic methods for the identification of origin-destination flows , 1987 .

[8]  Vincent Mccann Spiral lane-markings at roundabouts - a different angle , 1996 .

[9]  Olusegun Adebisi,et al.  Improving Manual Counts of Turning Traffic Volumes at Road Junctions , 1987 .

[10]  David E. Boyce,et al.  A note on trip matrix estimation from link traffic count data , 1983 .

[11]  L J Mountain,et al.  THE ACCURACY OF ESTIMATION OF TURNING FLOWS FROM AUTOMATIC COUNTS , 1983 .

[13]  M L Marshall LABOUR-SAVING METHODS FOR COUNTING TRAFFIC MOVEMENTS AT THREE- AND FOUR-ARM JUNCTIONS , 1979 .

[14]  M Jeffreys,et al.  ON FINDING REALISTIC TURNING FLOWS AT ROAD JUNCTIONS , 1970 .

[15]  van Zuylen,et al.  THE ESTIMATION OF TURNING FLOWS ON A JUNCTION , 1979 .

[16]  M. G. H. Bell THE ESTIMATION OF JUNCTION TURNING VOLUMES FROM TRAFFIC COUNTS: THE ROLE OF PRIOR INFORMATION , 1984 .

[17]  G. Davis,et al.  Recursive estimation of origin-destination matrices from input/output counts , 1987 .

[18]  W. H. K. Lam,et al.  Accuracy of O-D estimates from traffic counts , 1990 .

[19]  M J Maher ESTIMATING THE TURNING FLOWS AT A JUNCTION: A COMPARISON OF THREE MODELS , 1984 .