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  1. Mar 1, 2021 · Section 2 presents an analysis of the effects of rubbernecking on traffic through a case study, Section 3 investigates factors associated with rubbernecking and presents an evaluation of rubbernecking models, and Section 4 explores behavioral aspects of rubbernecking.

    • Paulina Reina
    • 2021
  2. May 7, 2024 · Beyond our evolutionary hardwiring, there are also cognitive and emotional factors that contribute to the phenomenon of rubbernecking. Chief among these is our innate human curiosity and the ...

    • Roy Lam
  3. Jan 1, 2014 · Results from the model suggest that on-ramps, high-occupancy vehicle (HOV) lanes, and percent of trucks are factors associated with rubbernecking.

  4. 1. Determine whether the rubbernecking impact on the opposite direction traffic is significant. 2. Investigate traffic data and calculate traffic delay and capacity reduction in the opposite direction of travel. 3. Identify the factors that influence the impacts in terms of rubbernecking likelihood, traffic delay and capacity reduction. 4.

    • Jonathan P Masinick, Hualiang Teng
    • 2004
  5. Mar 1, 2021 · Results from the model suggest that on-ramps, high-occupancy vehicle (HOV) lanes, and percent of trucks are factors associated with rubbernecking.

  6. Sep 30, 2013 · Results from the model suggest that on-ramps, high-occupancy vehicle (HOV) lanes, and percent of trucks are factors associated with rubbernecking.

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  8. Findings from this work can be used to help develop targeted rubbernecking traffic control measures, enhance rubbernecking data collection methods and modeling, and advance behavioral interventions to reduce the onset of rubbernecking queues on freeways.

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