Analytical methods for quantifying driver behavior in a dilemma zone prologue

Accident Analysis and Prevention

Volumn 96, Issue , 2016, Pages 271-273

  Boyle, Linda Ng ^a   Chrysler, Susan ^b   Karlaftis, Matthew ^c  

^a UNIVERSITY OF WASHINGTON   (United States)

^b TEXAS A AND M UNIVERSITY SYSTEM   (United States)

^c NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

CAR DRIVING; DECISION MAKING; HIGH RISK BEHAVIOR; HUMAN; PSYCHOLOGY; SAFETY; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; AUTOMOBILE DRIVING; CHOICE BEHAVIOR; HUMANS; RISK-TAKING; SAFETY;

EID: 84991204627     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2016.07.025     Document Type: Editorial

References (15)

1. Bar-Gera, H., Musicant, O., Schechtman, E., Ze'evi, T., Quantifying the yellow signal driver behavior based on naturalistic data from digital enforcement cameras. Accid. Anal. Prev. 96 (2016), 371–384.
2. Crawford, A., Driver judgment and error during the amber period at traffic lights. With an appendix on the calculation of thresholds and subjective scales. Ergonomics 5:4 (1962), 513–532.
3. Eluru, N., Yasmin, S., Disentangling the influence of cell phone usage in the dilemma zone: An econometric approach. Accid. Anal. Prev. 96 (2016), 280–289.
4. Gates, T.J., Noyce, D.A., A conceptual framework for dynamic extension of the red clearance interval as a countermeasure for red-light-running. Accid. Anal. Prev. 96 (2016), 341–350.
5. Gazis, D., Herman, R., Maradudin, A., The problem of the amber signal light in traffic flow. Oper. Res. 8:1 (1960), 112–132.
6. Ghanipoor Machiani, S., Abbas, M., Assessment of driver stopping prediction models before and after the onset of yellow using two driving simulator datasets. Accid. Anal. Prev. 96 (2016), 308–315.
7. Ghanipoor Machiani, S., Abbas, M., Safety surrogate histograms (SSH): A novel real-time safety assessment of dilemma zone related conflicts at signalized intersections. Accid. Anal. Prev. 96 (2016), 361–370.
8. Haque, M.M., Ohlhauser, A.D., Washington, S., Boyle, L.N., Decisions and actions of distracted drivers at the onset of yellow lights. Accid. Anal. Prev. 96 (2016), 290–299.
9. Jahangiri, A., Rakha, H., Dingus, T., Red-light running violation prediction using observational and simulator data. Accid. Anal. Prev. 96 (2016), 316–328.
10. Kim, S., Son, Y., Chiu, Y., Jeffers, M., Yang, C.Y., Impact of road environment on drivers’ behaviors in dilemma zone: Application of agent-based simulation. Accid. Anal. Prev. 96 (2016), 329–340.
11. May, A.D. Jr., Clearance interval at traffic signals. Highw. Res. Rec.(221), 1968.
12. Ranney, T., Watson, G., Mazzae, E.N., Papelis, Y.E., Ahmad, O., Wightman, J.R. (2005). Examination of the Distraction Effects of Wireless Phone Interfaces Using the National Advanced Driving Simulator—Final Report on a Freeway Study. US DOT—NHTSA Report No. DOT HS 809 787.
13. Savolainen, P.T., Examining driver behavior at the onset of yellow in a traffic simulator environment: Comparisons between random parameters and latent class logit models. Accid. Anal. Prev. 96 (2016), 300–307.
14. Savolainen, P.T., Sharma, A., Gates, T., 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. Accid. Anal. Prev. 96 (2016), 351–360.
15. Xiong, H., Narayanaswamy, P., Bao, S., Flannagan, C., Sayer, J., How do drivers behave during indecision zone maneuvers?. Accid. Anal. Prev. 96 (2016), 274–279.