Statistics consistently indicate that red-light running has become a significant safety problem throughout the United States. Comprehensive guidelines for treating red-light running at problem intersections have been developed. Unfortunately, these guidelines do not include a tool or technique for quantitatively determining if a problem exists and if a countermeasure is truly effective. The objective of this work is to describe the development and calibration of such a tool. The calibrated prediction model developed for this research indicates that red-light running increases with flow rate, speed, and dense platoons arriving at the end of the phase. It was also found that red-light running decreases with increasing cycle length and cross-street width, and when back plates are used on the signal heads. Uses for the calibrated model are described.
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References
1.
RettingR. A., WilliamsA. F., and GreeneM. A.. Red-Light Running and Sensible Countermeasures: Summary of Research Findings. In Transportation Research Record 1640, TRB, National Research Council, Washington, D.C., 1998, pp. 23–26.
2.
MohamedshahY. M., ChenL. W., and CouncilF. M.. Association of Selected Intersection Factors with Red light Running Crashes. Proc., 70th Annual Institute of Transportation Engineers Conference (CD-ROM), Washington, D.C., 2000.
3.
The Red light Running Crisis: Is It Intentional?Office of the Majority Leader, U.S. House of Representatives, May2001.
4.
MilazzoJ. S., HummerJ. E., and ProtheL. M.. A Recommended Policy for Automated Electronic Traffic Enforcement of Red light Running Violations in North Carolina, Final Report. Institute for Transportation Research and Education, North Carolina State University, Raleigh, N.C., June2001.
5.
FarraherB. A. B., WeinholzerR., and KowskiM. P.. The Effect of Advanced Warning Flashers on Red Light Running: A Study Using Motion Imaging Recording System Technology at Trunk Highway 169 and Pioneer Trail in Bloomington, Minnesota. Compendium of Technical Papers for the 69th Annual ITE Meeting (CD-ROM), Institute of Transportation Engineers, Washington, D.C., 1999.
6.
BonnesonJ. A., BrewerM. A., and ZimmermanK. H.. Review and Evaluation of Factors that Affect the Frequency of Red-Light-Running. Report FHWA/TX-02/4027-1. Texas Transportation Institute, College Station, Sept.2001.
7.
Van der HorstA. R. A., and WilminkA.. Driver’s Decision-Making at Signalized Intersections: An Optimization of the Yellow Timing. Traffic Engineering & Control, Vol. 27, No. 12, Dec.1986, pp. 615–622.
8.
BonnesonJ. A., McCoyP. T., and MoenB. A.. Traffic Detector Design and Evaluation Guidelines. Report TRP-02-31-93. Nebraska Department of Roads, Lincoln, April1994.
9.
SheffiY., and MahmassaniH.. A Model of Driver Behavior at High Speed Signalized Intersections. Transportation Science, Vol. 15, No. 1, Feb.1981, pp. 50–61.
10.
ZegeerC. V., and DeenR. C.. Green-Extension Systems at High-Speed Intersections. ITE Journal, Vol. 48, No. 11, 1978, pp. 19–24.
11.
KellJ. H., and FullertonI. J.. Manual of Traffic Signal Design. Prentice Hall, Englewood Cliffs, N.J., 1982.
12.
RettingR. A., and GreeneM. A.. Influence of Traffic Signal Timing on Red Light Running and Potential Vehicle Conflicts at Urban Intersections. In Transportation Research Record 1595, TRB, National Research Council, Washington D.C., 1997, pp. 1–7.
13.
McCullaghP., and NelderJ. A.. Generalized Linear Models. Chapman and Hall, New York, 1983.
14.
AbbessC., JarrettD., and WrightC. C.. Accidents at Blackspots: Estimating the Effectiveness of Remedial Treatment, with Special Reference to the “Regression-to-the-Mean” Effect. Traffic Engineering and Control, Vol. 22, No. 10, Oct.1981, pp. 535–542.
15.
SAS/STAT User’s Guide, Version 6, 4th ed. SAS Institute, Inc., Cary, N.C., 1990.
16.
MiaouS.-P.Measuring the Goodness-of-Fit of Accident Prediction Models. Report FHWA-RD-96-040. Federal Highway Administration, Washington, D.C., 1996.
17.
Highway Capacity Manual. TRB, National Research Council, Washington, D.C., 2000.
PersaudB. N., RettingR. A., GardnerP. E., and LordD.. Safety Effect of Roundabout Conversions in the United States: Empirical Bayes Observational Before-After Study. In Transportation Research Record: Journal of the Transportation Research Board, No. 1751, TRB, National Research Council, Washington, D.C., 2001, pp. 1–8.
