Abstract

This study investigates a driving behavior referred to as the cooperative safety concept that assumes for strings of conventional vehicles traveling in nighttime or conditions with reduced visibility during a stable flow condition, the leading vehicles would bear much of the navigational challenges and risks while the following vehicles enjoy reduced driving workload and improved navigation safety. The study includes a comprehensive investigation of the safety risk levels and driver behaviors at intersections and freeway ramp locations in an attempt to verify this phenomenon using data from the large-scale Second Strategic Highway Research Program (SHRP 2) naturalistic driving study database. Overall, the driver behavior analysis showed that drivers following other vehicles tended to travel at lower speeds but with more acceleration activities than other vehicles. In addition, lighting during nighttime appeared to help alleviate the behavioral differences between the two types of travelers and resulted in more dispersed merging, diverging, and lane-changing behaviors. The safety event data analysis showed that higher traffic levels tended to correlate with more safety events in general but significantly fewer single-vehicle events. In addition, higher traffic levels correlated with a significantly lower likelihood of crashes in general when a safety event occurred. In the SHRP 2 data, safety events included crashes, near crashes, and statistically selected baseline events recorded during the data collection. The findings of this study, including in particular the event analysis, indicated that vehicles following other vehicles in a free-flow condition tended to drive slower and have lower safety risks in terms of crashes in general and single-vehicle crashes in particular. This knowledge can have significant implications for applications such as advanced lighting systems, cooperative vehicle features, and smart traffic control strategies.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This paper is based on research funded by the National Surface Transportation Safety Center for Excellence.

References

AASHTO. 2018. A policy on geometric design of highways and streets. 7th ed. Washington, DC: AASHTO.
Berthaume, A. L., R. M. James, B. E. Hammit, C. Foreman, and C. L. Melson. 2018. “Variations in driver behavior: An analysis of car-following behavior heterogeneity as a function of road type and traffic condition.” Transp. Res. Rec. 2672 (37): 31–44. https://doi.org/10.1177/0361198118798713.
Campbell, K. 2012. “The SHRP 2 naturalistic driving study: Addressing driver performance and behavior in traffic safety.” TR News (282): 30–35.
Dastrup, E., M. N. Lees, J. D. Dawson, J. D. Lee, and M. Rizzo. 2009. “Differences in simulated car following behavior of younger and older drivers.” In Proc., Int. Driving Symp. on Human Factors in Driver Assessment, Training, and Vehicle Design, 76–82. Iowa city, IA: Univ. of Iowa.
Gibbons, R. B., F. Guo, A. Medina, T. N. Terry, J. Du, P. Lutkevich, D. Corkum, and P. Vetere. 2014. Guidelines for the implementation of reduced lighting on roadways. Blacksburg, VA: Virginia Tech Transportation Institute.
Hankey, J. M., M. A. Perez, and J. A. McClafferty. 2016. Description of the SHRP 2 naturalistic database and the crash, near-crash, and baseline data sets: Task report. Blacksburg, VA: Virginia Tech Transportation Institute.
Hooper, K. G., and H. W. McGee. 1983. “Driver perception-reaction time: Are revisions to current specification values in order?” Transp. Res. Rec. (904): 21–30.
Jones, A., and E. Huddleston. 2008. SAS/STAT 9.2 user’s guide. 2nd ed. Cary, NC: SAS Institute.
Lee, S. E., E. Llaneras, S. Klauer, and J. Sudweeks. 2007. Analyses of rear-end crashes and near-crashes in the 100-car naturalistic driving study to support rear-signaling countermeasure development. Blacksburg, VA: Virginia Tech Transportation Institute.
Li, Y., R. B. Gibbons, and B. Kim. 2021. Cooperative safety and crash risks. Blacksburg, VA: Virginia Tech Transportation Institute.
McAuliffe, B., A. Raeesi, M. Lammert, P. Smith, M. Hoffman, and D. Bevly. 2020. “Impact of mixed traffic on the energy savings of a truck platoon.” In Proc., Conf. on WCX 2020 World Congress Experience. Warrendale, PA: SAE International.
McGee, H. W. 1979. “Decision sight distance for highway design and traffic control requirements.” Transp. Res. Rec. (736): 11–13.
Salvucci, D. D., and A. Liu. 2002. “The time course of a lane change: Driver control and eye-movement behavior.” Transp. Res. Part F Psychol. Behav. 5 (2): 123–132. https://doi.org/10.1016/S1369-8478(02)00011-6.
SAS. 2015. SAS/STAT 14.1 user’s guide: The GLM procedure. Cary, NC: SAS Institute.
Sayer, J. R., and M. L. Mefford. 2003. “The effects of lead-vehicle on driver following behavior: Is ignorance truly bliss?” In Proc., 2nd Int. Driving Symp. on Human Factors in Driver Assessment, Training and Vehicle Design. Iowa city, IA: Univ. of Iowa.
VTTI (Virginia Tech Transportation Institute). 2021. “SHRP 2 NDS InSight: Data.” Accessed June 23, 2021. https://insight.shrp2nds.us/home/index.
Wang, S., G. H. D. A. Correia, and H. X. Lin. 2020. “Effects of coordinated formation of vehicle platooning in a fleet of shared automated vehicles: An agent-based model.” Transp. Res. Procedia 47: 377–384. https://doi.org/10.1016/j.trpro.2020.03.112.
Yoo, H., and P. Green. 1999. Driver behavior while following cars, trucks, and buses. Ann Arbor, Michigan: Univ. of Michigan Transportation Research Institute.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 148Issue 10October 2022

History

Received: Dec 15, 2021
Accepted: May 24, 2022
Published online: Jul 19, 2022
Published in print: Oct 1, 2022
Discussion open until: Dec 19, 2022

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Research Scientist, Virginia Tech Transportation Institute, 3500 Transportation Research Plaza, Blacksburg, VA 24060 (corresponding author). ORCID: https://orcid.org/0000-0001-8210-8215. Email: [email protected]
Ronald B. Gibbons, Ph.D. [email protected]
Program Leader, Virginia Tech Transportation Institute, 3500 Transportation Research Plaza, Blacksburg, VA 24060. Email: [email protected]
Formerly Graduate Research Assistant, Virginia Tech Transportation Institute, 3500 Transportation Research Plaza, Blacksburg, VA 24060. ORCID: https://orcid.org/0000-0001-9811-496X. Email: [email protected]

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