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Articles

Effects of penetration rates on the application of in-vehicle traffic lights at unsignalized intersections

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Pages 260-265 | Received 11 Nov 2021, Accepted 08 Mar 2022, Published online: 28 Mar 2022

References

  • Allen BL, Shin BT, Cooper PJ. 1979. Analysis of traffic conflicts and collisions. Washington, DC: Transportation Research Board, p. 67–74.
  • Austin J, Hackett S, Gravina N, Lebbon A. 2006. The effects of prompting and feedback on drivers' stopping at stop signs. J Appl Behav Anal. 39(1):117–121. doi:https://doi.org/10.1901/jaba.2006.49-04
  • Bazzi A, Zanella A, Masini BM. 2016. A distributed virtual traffic light algorithm exploiting short range V2V communications. Ad Hoc Networks. 49:42–57. doi:https://doi.org/10.1016/j.adhoc.2016.06.006
  • Bismarck N, Luis M, Nicolas S, Aurélie L, Ting F. 2022. Do stop-signs improve the safety for all road users? a before-after study of stop-controlled intersections using video-based trajectories and surrogate measures of safety. Acc Anal Prev. 167:106563.
  • Conceição H, Ferreira M, Peter S. 2013. Virtual traffic signals in partial deployment scenarios. Proceedings of the IEEE Intelligent Vehicles Symposium, Gold Coast, Australia.
  • Ferreira M, Fernandes R, Conceição H, Viriyasitavat W, Tonguz OK. 2010. Self-organized traffic control. ACM Int Workshop Veh InterNETwork, New York, United States. doi:https://doi.org/10.1145/1860058.1860077
  • Helland A, Jenssen GD, Lervåg L-E, Westin AA, Moen T, Sakshaug K, Lydersen S, Mørland J, Slørdal L. 2013. Comparison of driving simulator performance with real driving after alcohol intake: a randomised, single blind, placebo-controlled, cross-over trial. Acc Anal Prev. 53(1):9–16. doi:https://doi.org/10.1016/j.aap.2012.12.042
  • Holland MV. 2015. The effects of a driver monitoring system on drivers’ trust, satisfaction, and performance with an automated driving system. Virginia Polytechnic Institute and State University 1–67.
  • Jang JA, Choi K, Cho H. 2012. A fixed sensor-based intersection collision warning system in vulnerable line-of-sight and/or traffic-violation-prone environment. IEEE Trans Intell Transport Syst. 13(4):1880–1890. doi:https://doi.org/10.1109/TITS.2012.2207952
  • Klauer SG, Dingus TA, Neale VL, Sudweeks JD, Ramsey DJ. 2009. Comparing real-world behaviors of drivers with high versus low rates of crashes and near-crashes. National highway traffic safety administration. Dot HS. 811:091.
  • Klaus B, Julia D, Hoffmann S, Dietrich M, Alexandra N. 2018. UR:BAN human factors in traffic. Approaches for safe, efficient and stress-free urban traffic. Hesse, Germany: Springer Fachmedien Wiesbaden GmbH, p. 1–519.
  • Nabaee S. 2011. An evaluation of gap acceptance behavior at unsignalized intersections. Corvallis, OR: Oregon State University.
  • National Research Council. 2000. Highway capacity manual. Washington, DC: Transportation Research Board.
  • Sayed T, Brown G, Navin F. 1994. Simulation of traffic conflicts at unsignalized intersections with TSC-Sim. Acc Anal Prev. 26(5):593–607. doi:https://doi.org/10.1016/0001-4575(94)90021-3
  • Steven MT, Michael AKJ, David SH. 2011. Connecting gap acceptance behavior with crash experience. Washington, DC: Transportation Research Board.
  • Thomas LM, Apostolos K, Jörg PM, Franziska K, Omer R, Rene S. 2016. Autonomic road transport support systems. Basel, Switzerland: Springer International Publishing Switzerland. p. 1–304.
  • Tonguz OK. 2011. Biologically inspired solutions to fundamental transportation problems. IEEE Commun Mag. 49(11):106–115. doi:https://doi.org/10.1109/MCOM.2011.6069717
  • Tonguz OK, Viriyasitavat W, Roldan JM. 2014. Implementing virtual traffic lights with partial penetration: a game-theoretic approach. IEEE Commun Mag. 52(12):173–182. doi:https://doi.org/10.1109/MCOM.2014.6979971
  • Troutbeck R. 1997. Unsignalized intersection theory. Queensland, Australia: Queensland University of Technology.
  • Tupper SM. 2014. Safety and operational assessment of gap acceptance through large-scale field evaluation. Amherst, MA: University of Massachusetts Amherst.
  • Yang B, Zheng RC, Kaizuka T, Nakano K. 2017. Influences of waiting time on driver behaviors while implementing in-vehicle traffic light for priority-controlled unsignalized intersections. J Adv Transp. 2017:1–12. doi:https://doi.org/10.1155/2017/7871561
  • Yang B, Zheng RC, Kaizuka T, Nakano K. 2018. Analysis of driver behaviors while using in-vehicle traffic light with partial deployment of V2I communication. IEEE Intelligent Vehicles Symposium, Changshu, China.
  • Yang B, Zheng RC, Shimono K, Kaizuka T, Nakano K. 2017. Evaluation of the effects of in-vehicle traffic lights on driving performances for unsignalised intersections. IET Intell Transp Syst. 11(2):76–83. doi:https://doi.org/10.1049/iet-its.2016.0084

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