Safety surrogate histograms (SSH): A novel real-time safety assessment of dilemma zone related conflicts at signalized intersections

Accident Analysis and Prevention

Volumn 96, Issue , 2016, Pages 361-370

  Ghanipoor Machiani, Sahar ^a   Abbas, Montasir ^a  

^a Virginia Polytechnic Institute and State University   (United States)

Author keywords

Dilemma zone (DZ); DZ protection algorithms; Safety surrogate histogram (SSH); Signalized intersections; Time to collision (TTC)

Indexed keywords

ACCIDENTS; CRASHWORTHINESS; GRAPHIC METHODS; SAFETY ENGINEERING;

DILEMMA ZONE; LEVEL OF SAFETIES; PROTECTION ALGORITHMS; REAR-END COLLISIONS; SAFETY ASSESSMENTS; SIGNALIZED INTERSECTION; SURROGATE MEASURES; TIME TO COLLISION;

INTERSECTIONS;

CAR DRIVING; CONFLICT; DECISION MAKING; ENVIRONMENTAL PLANNING; HUMAN; PSYCHOLOGY; SAFETY; TELECOMMUNICATION; VIRGINIA;

AUTOMOBILE DRIVING; CONFLICT (PSYCHOLOGY); DECISION MAKING; ENVIRONMENT DESIGN; HUMANS; RADAR; SAFETY; VIRGINIA;

EID: 84928778383     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2015.04.024     Document Type: Article

References (34)

1. Abbas, M., Ghanipoor Machiani, S., Modeling the dynamics of driver's dilemma zone perception using agent based modeling techniques. Conference on Agent-Based Modeling in Transportation Planning and Operations, Blacksburg, VA, 2013 (Special issue).
2. Abbas, M., Ghanipoor Machiani, S., Garvey, P.M., Farkas, A., Lord-Attivor, R., Modeling the Dynamics of Driver's Dilemma Zone Perception Using Machine Learning Methods for Safer Intersection Control. 2014, US Department of Transportation, Research & Innovative Technology Administration, 84.
3. Abbas, M., Higgs, B., Ghanipoor Machiani, S., Integrated real-time data collection and safety improvement system at signalized intersections. The 17th International IEEE Conference on Intelligent Transportation Systems, Qingdao, China, 2014.
4. Adam, Z.M., Abbas, M.M., Li, P., Modeling the complexity of driving behavior during signal yellow interval using reinforcement learning accession number. Transportation Research Board 88th Annual Meeting, Washington, D.C, 2009.
5. Balas, V.E., Balas, M.M., Driver assisting by inverse time to collision. Automation Congress, WAC’06 World, 2006.
6. Berthelot, A., Tamke, A., Dang, T., Breuel, G., A novel approach for the probabilistic computation of time-to-collision. Intelligent Vehicles Symposium (IV), IEEE, 2012.
7. Chaudhary, N.A., Abbas, M.M., Charara, H.A., Development and field testing of platoon identification and accommodation system. Transp. Res. Rec.: J. Transp. Res. Board 1 (1978), 141–148.
8. Engstrom, A., 10 years with LHOVRA – what are the experiences?. Road Traffic Monitoring and Control, Seventh International Conference, 1994.
9. Farah, H., Bekhor, S., Polus, A., Risk evaluation by modeling of passing behavior on two-lane rural highways. Acc. Anal. Prev. 41:4 (2009), 887–894.
10. Gettman, D., Head, L., Surrogate Safety Measures From Traffic Simulation Models, Final Report., 2003, Office of Safety Research and Development, Federal Highway Administration, McLean, VA.
11. Gettman, D., Pu, L., Sayed, T., Shelby, S., Surrogate Safety Assessment Model (SSAM) and Validation: Final Report., 2008, Office of Safety RD&T, Federal Highway Administration.
12. Ghanipoor Machiani, S., Abbas, M., Predicting drivers decision in dilemma zone in a driving simulator environment using canonical discriminant analysis. The 93rd Annual Meeting of the Transportation Research Board, Washington, D.C, 2014.
13. Ghanipoor Machiani, S., Abbas, M., Dynamic driver's perception of dilemma zone: experimental design and analysis of driver's learning in a simulator study. The 93rd Annual Meeting of the Transportation Research Board, Washington, D.C, 2014.
14. Hayward, J., Near-miss determination through use of a scale of danger. Highway Res. Rec. 384 (1972), 22–34.
15. Hoffmann, E.R., Mortimer, R.G., Drivers’ estimates of time to collision. Acc. Anal. Prev. 26:4 (1994), 511–520.
16. Jahangiri, A., Rakha, H., Dingus, T.A., Predicting red-light running violations at signalized intersections using machine learning techniques. Transportation Research Board 93rd Annual Meeting, Washington, D.C, 2015.
17. Jansson, J., Gustafsson, F., A framework and automotive application of collision avoidance decision making. Automatica 44:9 (2008), 2347–2351.
18. Kiefer, R.J., Flannagan, C.A., Jerome, C.J., Time-to-collision judgments under realistic driving conditions. Hum. Factors 48:2 (2006), 334–345.
19. Kuchar, J.K., Yang, L.C., A review of conflict detection and resolution modeling methods. Trans. Intell. Transp. Syst. 1:4 (2000), 179–189.
20. Li, P., Abbas, M., Stochastic dilemma hazard model at high-speed signalized intersections. J. Transp. Eng. 136:5 (2010), 448–456.
21. Meng, Q., Qu, X., Estimation of rear-end vehicle crash frequencies in urban road tunnels. Acc. Anal. Prev. 48:0 (2012), 254–263.
22. Meng, Q., Weng, J., Evaluation of rear-end crash risk at work zone using work zone traffic data. Acc. Anal. Prev. 43:4 (2011), 1291–1300.
23. Minderhoud, M.M., Bovy, P.H.L., Extended time-to-collision measures for road traffic safety assessment. Acc. Anal. Prev. 33:1 (2001), 89–97.
24. Papaioannou, P., Driver behaviour, dilemma zone and safety effects at urban signalised intersections in Greece. Acc. Anal. Prev. 39:1 (2007), 147–158.
25. Rakha, H., Amer, A., El-Shawarby, I., Modeling driver behavior within a signalized intersection approach decision-dilemma zone. Transp. Res. Rec.: J. Transp. Res. Board 2069:1 (2008), 16–25.
26. Sato, Y., Ishii, H., Study of a collision-avoidance system for ships. Control Eng. Pract. 6:9 (1998), 1141–1149.
27. Sharma, A., Bullock, D., Peeta, S., Estimating dilemma zone hazard function at high speed isolated intersection. Transp. Res. Part C: Emerging Technol. 19:3 (2011), 400–412.
28. Vincent, R.A., Peirce, J.R., MOVA: traffic responsive, self-optimising signal control for isolated intersections. Research report (Transport and Road Research Laboratory)., 1988, Traffic Management Division, Traffic Group, Transport and Road Research Laboratory, Crowthorne, Berkshire p. 170.
29. Vogel, K., A comparison of headway and time to collision as safety indicators. Acc. Anal. Prev. 35:3 (2003), 427–433.
30. Wavetronix LLC, 2014. http://www.wavetronix.com/en.
31. Xu, C., Qu, Z.W., Empirical analysis on time to collision at urban expressway. Appl. Mech. Mater. 505–506 (2014), 1127–1132.
32. Zimmerman, K., Bonneson, J., In-Service Evaluation of a Detection-Control System for High-Speed Signalized Intersections, vol. 5, 2005, Texas Transportation Institute, Texas A&M University System.
33. Zimmerman, K., Bonneson, J.A., Middleton, D., Abbas, M.M., Improved detection and control system for isolated high-speed signalized intersections. Transp. Res. Rec.: J. Transp. Res. Board 1856:1 (2003), 212–219.
34. Zimmerman, K., Additional dilemma zone protection for trucks at high-speed signalized intersections. Transp. Res. Rec.: J. Transp. Res. Board 2009:1 (2007), 82–88.