Accurate estimation of travel times from single-loop detectors 1 1 Funding for this research was pro

As advanced traveler information systems become increasingly prevalent the importance of accurately estimating link travel times grows. Unfortunately, the predominant source of highway traffic information comes from single-loop loop detectors which do not directly measure vehicle speed. The conventional method of estimating speed, and hence travel time, from the single-loop data is to make a common vehicle length assumption and to use a resulting identity relating density, flow, and speed. Hall and Persaud (Transportation Research Record 1232, 9-16, 1989) and Pushkar et al. (Transportation Research Record 1457, 149-157, 1994) show that these speed estimates are flawed. In this paper we present a methodology to estimate link travl times directly from the single-loop loop detector flow and occupancy data without heavy reliance on the flawed speed calculations. Our methods arise naturally from an intuitive stochastic model of traffic flow. We demonstrate by example on data collected on I-880 data (Skabardonis et al. Technical Report UCB-ITS-PRR-95-S, Institute of Transportation Studies, University of California, 1994) that when the loop detector data has a fine resolution (about one second), the single-loop based estimates of travel time can accurately track the true travel time through many degrees of congestion. Probe vehicle data and double-loop based travel time estimates corroborate the accuracy of our methods in our examples.

[1]  Donald J Dailey,et al.  Travel-time estimation using cross-correlation techniques , 1993 .

[2]  Karl Petty,et al.  An extended macroscopic model for traffic flow , 1996 .

[3]  Reinhart D Kuhne,et al.  FREEWAY CONTROL SYSTEMS FOR USING SECTION-RELATED TRAFFIC VARIABLE DETECTION , 1993 .

[4]  W. Chan,et al.  Unimodality, convexity, and applications , 1989 .

[5]  Bhagwant Persaud,et al.  EVALUATION OF SPEED ESTIMATES MADE WITH SINGLE-DETECTOR DATA FROM FREEWAY TRAFFIC MANAGEMENT SYSTEMS , 1989 .

[6]  Nagui M. Rouphail,et al.  TOWARD THE USE OF DETECTOR OUTPUT FOR ARTERIAL LINK TRAVEL TIME ESTIMATION: A LITERATURE REVIEW , 1994 .

[7]  Xiaoyan Zhang,et al.  Empirical Comparison of Travel Time Estimation Methods , 1999 .

[8]  Donald R. Drew,et al.  TRAFFIC DYNAMICS: METHOD FOR ESTIMATING FREEWAY TRAVEL TIMES IN REAL TIME FROM FLOW MEASUREMENTS , 1996 .

[9]  F. Hall,et al.  ESTIMATION OF SPEEDS FROM SINGLE-LOOP FREEWAY FLOW AND OCCUPANCY DATA USING CUSP CATASTROPHE THEORY MODEL , 1994 .

[10]  Xiaoyan Zhang,et al.  Visualizing Loop Detector Data , 1999 .

[11]  David R. Brillinger,et al.  Cross-Spectral Analysis of Processes with Stationary Increments Including the Stationary $G/G/\infty$ Queue , 1974 .

[12]  Nagui M. Rouphail,et al.  ANALYSIS OF CORRELATION BETWEEN ARTERIAL TRAVEL TIME AND DETECTOR DATA FROM SIMULATION AND FIELD STUDIES , 1994 .

[13]  D P Bowyer,et al.  Australian Road Research Board , 1987 .

[14]  D. Brillinger The spectral analysis of stationary interval functions , 1972 .