Quantifying dynamic factors contributing to dilemma zone at high-speed signalized intersections

Transportation Research Record

Volumn , Issue 2259, 2011, Pages 202-212

  Wei, Heng ^a   Li, Zhixia ^b   Yi, Ping ^c   Duemmel, Kevin ^d  

^a 792 Rhodes Hall   (United States)

^b 705 Engineering Research Center   (United States)

^c University of Akron   (United States)

^d Ohio Department of Transportation   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COST EFFECTIVENESS; FACTOR ANALYSIS; TRAFFIC CONTROL; TRAJECTORIES;

CONTRIBUTING FACTOR; DILEMMA ZONE; DYNAMIC FACTORS; DYNAMICS CHARACTERISTIC; HIGH SPEED SIGNALIZED INTERSECTIONS; OPTION ZONE; QUANTITATIVE STUDY; TRAJECTORIES DATUM; VEHICLE TRAJECTORIES; YELLOW LIGHT;

SPEED;

EID: 84863258047     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2259-19     Document Type: Article

References (24)

1. Gazis, D., R. Herman, and A. Maradudin. The Problem of the Amber Signal Light in Traffic Flow. Operations Research, Vol. 8, No. 1, 1960, pp. 112-132.
2. Pant, P. D., Y. Cheng, A. Rajagopal, and N. Kashayi. Field Testing and Implementation of Dilemma Zone Protection and Signal Coordination at Closely Spaced High Speed Intersections. Report FHWA/OH-2005/006. Ohio Department of Transportation, Columbus, 2005.
3. Liu, Y., G. L. Chang, R. Tao, T. Hicks, and E. Tabacek. Empirical Observations of Dynamic Dilemma Zones at Signalized Intersections. In Transportation Research Record: Journal of the Transportation Research Board, No. 2035, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 122-133. (Pubitemid 351268645)
4. Tarko, A. P., W. Li, and L. Laracuente. Probabilistic Approach to Controlling Dilemma Occurrence at Signalized Intersections. In Transportation Research Record: Journal of the Transportation Research Board, No. 1973, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 55-63. (Pubitemid 46279120)
5. Moon, Y., and F. Coleman III. Dynamic Dilemma Zone Based on Driver Behavior and Car-Following Model at Highway-Rail Intersections. Transportation Research Part B, Vol. 37, No. 4, 2002, pp. 323-344. (Pubitemid 36122372)
6. Kim, W., J. Zhang, A. Fujiwara, T. Y. Jang, and N. Moon. Analysis of Stopping Behavior at Urban Signalized Intersections: Empirical Study in South Korea. In Transportation Research Record: Journal of the Transportation Research Board, No. 2080, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 84-91.
7. Zegeer, C. Effectiveness of Green-Extension Systems at High-Speed Intersections. Research Report 472. Kentucky Department of Transportation, Frankfort, 1977.
8. Elmitiny, N., X. Yan, E. Radwan, C. Russo, and D. Nashar. Classification Analysis of Driver's Stop/Go Decision and Red Light Running Violation. Accident Analysis and Prevention, Vol. 42, No. 1, 2010, pp. 101-111.
9. Sharma, A., D. M. Bullock, and S. Peeta. Limitations of Simultaneous Gap-Out Logic. In Transportation Research Record: Journal of the Transportation Research Board, No. 1978, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 42-48. (Pubitemid 46325581)
10. Sharma A., D. M. Bullock, and S. Peeta. Recasting Dilemma Zone Design as a Marginal Cost-Benefit Problem. In Transportation Research Record: Journal of the Transportation Research Board, No. 2035, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 88-96. (Pubitemid 351268641)
11. Parsonson, P. S. NCHRP Synthesis of Highway Practice 172: Signal Timing Improvement Practices. TRB, National Research Council, Washington, D.C., 1992.
12. Zimmerman, K., J. A. Bonneson, D. Middleton, and M. M. Abbas. Improved Detection and Control System for Isolated High-Speed Signalized Intersections. In Transportation Research Record: Journal of the Transportation Research Board, No. 1856, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 212-219.
13. Zimmerman, K., and J. A. Bonneson. Intersection Safety at High-Speed Signalized Intersections: Number of Vehicles in Dilemma Zone as Potential Measure. In Transportation Research Record: Journal of the Transportation Research Board, No. 1897, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 126-133. (Pubitemid 40536405)
14. Si, J., T. Urbanik II, and L. D. Han. Effectiveness of Alternative Detector Configurations for Option Zone Protection on High-Speed Approaches to Traffic Signals. In Transportation Research Record: Journal of the Transportation Research Board, No. 2035, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 107-113. (Pubitemid 351268643)
15. Urbanik, T., and P. Koonce. The Dilemma with Dilemma Zones. Proc., ITE District 6 Annual Meeting, Portland, Ore., 2007.
16. Saito, T., N. Ooyama, and K. Sigeta. Dilemma and Option Zones, the Problem and Countermeasures-Characteristics of Zones, and a New Strategy of Signal Control for Minimizing Zones. Proc., 3rd International Conference on Road Traffic Control, London, Institute of Electrical Engineers, London, 1990, pp. 137-141. (Pubitemid 20704765)
17. Koll, H., M. Bader, and K. W. Axhausen. Driver's Behavior During Flashing Green Before Amber: A Comparative Study. Accident Analysis and Prevention, Vol. 36, No. 2, 2004, pp. 273-280.
18. Chang, G., H. Xiang, and C. Chou. Interrelations Between Crash Rates, Signal Yellow Times, and Vehicle Performance Characteristics: Phase I. Research Report MD-04-SP308B4L. Maryland State Highway Administration, Maryland Department of Transportation, Baltimore, 2004.
19. ITE. Traffic Engineering Handbook. Prentice Hall, Upper Saddle River, N.J., 1999.
20. Traffic Detector Handbook, 3rd ed. FHWA, U.S. Department of Transportation, 2006.
21. Click, S. M. Application of the ITE Change and Clearance Interval Formulas in North Carolina. ITE Journal, Vol. 78, No. 1, 2008, pp. 20-24. (Pubitemid 351223014)
22. Li, Z. Daniel B. Fambro Student Paper Award: Modeling Dynamic Dilemma Zones Using Observed Yellow-Onset Trajectories. ITE Journal, Vol. 79, No. 11, 2009, pp. 24-35.
23. Wei, H., Z. Li, and Q. Ai. Observation-Based Study of Intersection Dilemma Zone Natures. Journal of Safety & Security, Vol. 1, No. 4, 2009, pp. 282-295.
24. Wei, H., E. Meyer, J. Lee, and C. E. Feng. Video-Capture-Based Approach to Extract Multiple Vehicular Trajectory Data for Traffic Modeling. ASCE Journal of Transportation Engineering, Vol. 131, No. 7, 2005, pp. 496-505. (Pubitemid 41079024)