Sixth International Conference on Transportation Engineering
Quantitative Comparison between Leading Green and Conventional Setting of Pedestrian Crossing Signal Control at Intersections
Publication: ICTE 2019
ABSTRACT
The key to ensure the orderly operation of urban traffic is to realize the precise and reasonable signal control of cross-street pedestrians. In this paper, the effects of leading green and conventional setting signal control mode on pedestrian crossing efficiency are analyzed using the time-space diagram, in view of the actual pedestrian crossing demand under different traffic organization modes at signalized intersections. According to the pedestrian's arrival and departure time at the crosswalk and central safety island, the delay models of pedestrian crossing under different traffic organization and signal control conditions are derived, and the capacity constraint relations of pedestrian twice-cross safety island are developed. The results of example analysis demonstrates that the pedestrian delay models proposed in this paper can accurately calculate the pedestrian crossing delay corresponding to different traffic organization and signal control conditions. Compared with the conventional signal control mode, the average delay optimization effect of the leading green setting is more obvious for pedestrian once crossing, partial twice crossing, and complete twice crossing. Moreover, it is more advantageous to improve the service level of pedestrian's waiting area by adopting partial twice crossing traffic organization mode, under the condition of restricted capacity of twice-cross safety island, whereas it is relatively difficult to ensure the waiting comfort of central safety island by adopting complete twice crossing traffic organization mode.
Get full access to this chapter
View all available purchase options and get full access to this chapter.
ACKNOWLEDGMENTS
This research is supported by National Engineering Laboratory Funded Project “Road network bearing capacity and operation reliability evaluation methods based on critical path analysis” (Project No. 2019SJGC01).
REFERENCES
CHEN, Z.Q., CHEN, S.K., Lin, L., et al. (2007). “Design and simulation on signal phase for pedestrians twice crossing at large signalized intersections.” Journal of Transportation Systems Engineering and Information Technology, 7(4): 104-108.
FU, L.N. and ZOU, N. (2017). “Cellular automata model of pedestrian flow at school intersection.” Journal of Transportation Systems Engineering and Information Technology, 17(3): 98-104.
LU, K., HU, J.W., LI, F.L., et al. (2016). “Green wave design and delay model of pedestrian diagonal crossing at signal intersection.” Journal of Jilin University (Engineering and Technology Edition), 46(6): 1818-1826.
Mcleod, F.N., Southampton, U., Hounsell, N.B., et al. (2004). “Improving Traffic Signal Control for Pedestrians.” Road Transport Information and Control,2004. RTIC 2004. 12th IEEE International Conference, 268-277.
MA, W.J., LIN, Y., and YANG, X.G. (2007). “Design method of pedestrian phases at multi-phase signal intersection.” Journal of Traffic and Transportation Engineering, 4(2): 103-106.
WANG, J.Y., WANG, W., Lv, S., et al. (2006). “Study on method for pedestrian signal timing at intersections.” Proceeding of the 6th International Conference of Transportation Professionals, DaLian.
ZHOU, Y., ZHOU, Z.P., XU, Y.N., et al. (2018). “A model for crossing behaviors of pedestrians at intersections during flashing green signals.” Journal of Transport Information and Safety, 36(1): 74-80.
ZHANG, Y.H., Mamun, S.A., Ivan, J.N., et al. (2015). “Safety effects of exclusive and concurrent signal phasing for pedestrian crossing.” Accident Analysis and Prevention, 83, 26-36.
Information & Authors
Information
Published In
ICTE 2019
Pages: 238 - 248
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Jan 13, 2020
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.