JTTs  Vol.4 No.1 , January 2014
The Impact of Rubbernecking on Urban Freeway Traffic
Abstract: An incident influences traffic not only in the incident direction but also in the opposite direction. There has been a research on the influence of incidents on the traffic in the incident direction. However, the research relating to the influence on the opposite direction of traffic is rare. In this study, the impact of incidents on the traffic in the opposite direction was investigated, focusing on identifying the factors that influence the likelihood and traffic delay of rubbernecking. In the investigation, a database consisting of incident information, traffic and other related variables was developed. For each incident in the database, it determined whether the impact of rubbernecking on the opposite direction traffic was significant. Factors that influenced the likelihood of rubbernecking were identified based on developing a binary logit model. Traffic delays in the opposite direction due to accidents were also calculated. A linear regression model was developed from which the influencing factors on traffic delay were identified. Based on the study on the likelihood of rubbernecking and the associated traffic delay, effective countermeasures were developed.
Cite this paper: J. Masinick, H. Teng and N. Orochena, "The Impact of Rubbernecking on Urban Freeway Traffic," Journal of Transportation Technologies, Vol. 4 No. 1, 2014, pp. 116-125. doi: 10.4236/jtts.2014.41012.

[1]   2013.,retrieved

[2]   Crash Investigation Team, “Driver Inattention and Driver Distraction Study,” Special Report #15, Transportation Safety Training Center, Virginia Commonwealths University, 2001.

[3]   R. W. Hall, “Non-Recurrent Congestion: How Big Is the Problem? Are Traveler Information Systems the Solution?” PATH Program, Institute of Transportation Studies, University of California, 1992.

[4]   J. Lindley, “Urban Freeway Congestion: Quantification of the Problem and Effectiveness of Potential Solutions,” ITE Journal, Vol. 57, No. 1, 1987, pp. 27-32.

[5]   J. M. Morales, “Analytical Procedures for Estimating Freeway Traffic Congestion,” Public Roads, Vol. 50, No. 2, 1986, pp. 55-61.

[6]   C. Daganzo, “Fundamentals of Transportation & Traffic Operations,” Elsevier Science Ltd., Oxford, 1997.

[7]   H. M. Al-Deek, A. Garib and A. E. Radwan, “Methods for Estimating Freeway Incident Congestion, Part II: New Methods,” Paper Submitted to the ASCE Journal of Transportation Engineering, 1994.

[8]   Y. Qi and H. Teng, “Integrated Modeling Approach to Total Incident Delay,” Transportation Research Record, 1895, pp. 46-54.