A Study of the Dilemma Zone from Drivers Approach Speed and Distance from Intersection at the Beginning of the Yellow Signal
Keywords:
Approach speed, Amber signal, Dilemma zoneAbstract
This study focuses on the dilemma zone of intersections controlled by traffic signal from various factors. The study area is three intersections in the suburbs. This study investigated the speed of the vehicle approaching the intersection during the yellow light and all red, width of intersection, and the number of cars passing through the red- light. For analysis and consideration from the comparison of minimum stopping distance, maximum yellow-light-running distance, and the minimum duration of the yellow light. The results presented that if the speed at the intersection is about 53-63 km/hr. and the distance from the stop line is about 51-68 meters, it does not correlate with the duration of the yellow light signal for 3 seconds, so it is resulting in dilemma zone and risk of passing through the red-light. The results of the study have led to the understanding of the dilemma zone, and it has proposed ways to fix and prevent problems for developing of safety measures.
References
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31. Wonghabut P, Ung-arunyawee R, Satiennam T, Leelapatra W, Jantosut P, Kumphong J. Development of Program for Red Light Running Violation and Helmet Wearing Using CCTV Camera. KKU Research Journal (Graduate Studies). 2018; 19 (2). Thai.
32. Wonghabut P, Ung-arunyawee R, Satiennam T, Kumphong J, Leelapatra W. Traffic Light Color Identification for Automatic Traffic Light Violation Detection System. The 4th International Conference on Engineering Applied Sciences and Technology. July 4-7, Phuket, Thailand; 2018.
2. Department of Rural Roads. Road safety principle manual. road safety audit and improvement manual for department of rural roads. Ministry of Transport, Thailand; 2017. Thai.
3. Tiyabutr T, Satiennam W, Satiennam T. Application of the Theory of Planned Behavior (TPB) to study the factors effect to motorcyclist’s intention to run red light. The 20th National Convention on Civil Engineering; 2015 July 8-10; Chonburi. Thailand; 2015. Thai.
4. Tankasem P, Jantosut P, Satiennam T, Yuwanasiri C. Psychological factors influencing red light running intentions at the junction with red light camera enforcement: a case of Thapra junction Khon Kaen province. Journal of Science & Technology, Ubon Ratchathani University. 2018; 20(1): 143-157. Thai.
5. Retting RA, Williams AF. Characteristics of red-light violators: results of a field investigation. Journal of Safety Research. 1996; 27(1): 9-15.
6. Dinh DD, Kubota H. Speeding behavior on urban residential streets with a 30 km/h speed limit under the frame work of the Theory of Planned Behavior. Transport Policy. 2013; 29: 199-208.
7. Jensupakarn A. Factors influencing red light running behavior: a study of socio-economic characteristics and geometry of intersections. [MEng thesis].Asian Institute of Technology; 2013.
8. Wu C, Yao L, Zhang K. The red-light running behavior of electric bike riders and cyclists at urban intersections in China: an observational study. Accident Analysis & Prevention. 2012; 49: 186-192.
9. Wu M, Ma W, LiLi. Characterize Dilemma zone and minimize its effect at coordinated signalized intersections. Procedia - Social and Behavioral Sciences. 2013; 96: 766-778.
10. Panagiotis P. Driver behaviour, dilemma zone and safety effects at urban signalized intersections in Greece. Accident Analysis & Prevention. 2006; 39(1): 147-158.
11. Sharma A, Bullock D, Peeta S. Estimating dilemma zone hazard function at high speed isolated intersection. Transportation Research Part C: Emerging Technologies. 2010; 19(3): 400-412.
12. Hurwitz DS, Knodler Jr MA, Nyquist B. Evaluation of driver behavior in type II dilemma zones at high-speed signalized intersections. Journal of Transportation Engineering. 2011; 137:277-286.
13. Li Z, Wei H. Modeling dynamics of dilemma zones by formulating dynamical contributing factors with video-observed trajectory data. Procedia - Social and Behavioral Sciences. 2013; 80: 880 – 900.
14. Parsonson PS, Roseveare RW, Thomas JM. Small-area detection at intersection approaches. Journal of Transportation Engineering. 1974; 44(5). 8-17.
15. Expressway Authority of Thailand. Khon Kaen expressway masterplan. Ministry of Transport, Thailand; 2015. Thai.
16. Thailand Accident Research Center (TARC). Safe driving speed. Asian Institute of Technology; 2008. 114-115. Thai.
17. Ewing R. Traffic calming impacts. in traffic calming: state and practice. Institute of Transportation Engineers. 1999. 99–126.
18. Gazis D, Herman R, Maradudin A. The problem of the amber signal light in traffic flow. Operations Research. 1960; 8(1): 112-132.
19. Institute of Traffic Engineers. Traffic engineering handbook 6th edition, institute of traffic engineers. Prentice Hal; 2009.
20. Zegeer C. Effectiveness of green-extension systems at high-speed intersections. Kentucky Department of Transportation. Research Report. 1977. 472.
21. Bonneson JA, McCoy PT, Moen BA. Traffic detector design and evaluation guidelines. Finl report. Research report no. TRP-02-31-93. Lincoln Neb. Nebraska Department of Roads. 1994.
22. Bonneson JA, McCoy PT. Traffic detector designs for isolated intersections. ITE Journal. 1996; 66(8): 42-47.
23. Lin, X. & Lin, C. Engineering Countermeasures to Reducing Unintentional Yellow-light Running Owing to Dilemma Zone. Procedia - Social and Behavioral Sciences. 2013; (96): 900-904.
24. Savolainen PT, Sharma A, Gates TJ. Driver Decision-Making in the Dilemma Zone - Examining the Influences of Clearance Intervals, Enforcement Cameras and the Provision of Advance Warning Through A Panel Data Random Parameters Probit Model. Accident Analysis & Prevention. 2015; (96): 351-360.
25. Energy Policy and Planning Office. Ministry of Energy. Final Report; Guidelines for Improvement of Traffic Signal System on the Main Transport Routes for Reducing Energy Consumption in the Transportation Sector. Institute of Engineering, Suranaree University of Technology; 2014. Thai.
26. Promraksa T, Satiennam T, Satiennam W. A Study of Vehicle Actuated Signal Control for Coordinated Intersections. The 10th National Transport Conference. December 18, Chiang Mai; 2015. Thai.
27. Department of Highways. Final Report; Efficiency increasement of Traffic Control Management in Rural City and Urban City for Supporting Thailand towards the AEC. Kasetsart University.; 2015. Thai.
28. Tang KXu, Y. Wang F, Oguchi T. Exploring Stop-Go Decision Zones at Rural High-Speed Intersections with Flashing Green Signal and Insufficient Yellow Time in China. Accident Analysis & Prevention. 2016; (95): 470-478.
29. Tankasem P, Satiennam T, Satiennam W. Evaluation of Speed Control Measure by Automatic Speed Enforcement System on Mittraphap Road through Khon Kaen City in Initial Period. The 21st National Convention on Civil Engineering. June 28-30, Songkhla, Thailand; 2016. Thai
30. Tankasem P, Satiennam T, Satiennam W, Chatbunchachai W. Speed Control Measure by Automatic Speed Enforcement System on Mittraphap Road through Khon Kaen City. The 13th Thailand Road Safety Seminar: Invest for Sustainable Road Safety. December 6-7. Bangkok International Trade & Exhibition Centre (BITEC), Bangkok, Thailand; 2017. Thai.
31. Wonghabut P, Ung-arunyawee R, Satiennam T, Leelapatra W, Jantosut P, Kumphong J. Development of Program for Red Light Running Violation and Helmet Wearing Using CCTV Camera. KKU Research Journal (Graduate Studies). 2018; 19 (2). Thai.
32. Wonghabut P, Ung-arunyawee R, Satiennam T, Kumphong J, Leelapatra W. Traffic Light Color Identification for Automatic Traffic Light Violation Detection System. The 4th International Conference on Engineering Applied Sciences and Technology. July 4-7, Phuket, Thailand; 2018.
