Calibration of Saturation Flow for Signalized Intersections

Article Preview

Abstract:

Transport infrastructure has been playing an increasingly important role to the world economy. Intersections have been widely accepted as the bottlenecks for an urban transport system. As such, the intersection design has been of great importance for transport agencies. Saturation flow is the most important design parameter for traffic signal timing. In this study, we aim to calibrate saturation flows for signalized intersections. Based on calibrated saturation flows, we thus intend to examine whether headways between consecutive vehicles during a queue are affected by intersection shapes and speed limit. To this end, five signalized intersections are observed to collect time headways. According to collected time headways, saturation headways in various cycles are calibrated using linear regression models. Finally, according to analysis of variance (referred to as ANOVA hereafter), we reveal that there is no direct relationship among speed limit, intersection shape, and saturation headways.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2093-2096

Citation:

Online since:

January 2015

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] C. Bester, and P. Varndell, in: The Effect of A Leading Green Phase on the Startup Lost Time of Opposing Vehilces. Department of Civil Engineering, University of Stellenbosch (2002).

Google Scholar

[2] C. Shao, J. Rong, and X. Liu: Study on the saturation flow rate and its influence factors at signalized intersections in China. Procedia—Social and Behavioral Sciences (2011), p.504–514.

DOI: 10.1016/j.sbspro.2011.04.471

Google Scholar

[3] H. Li, and P. Prevedouros: Detailed observations of saturation headways and start-up lost times. Transportation Research Record, No. 1802 (2002), p.44–53.

DOI: 10.3141/1802-06

Google Scholar

[4] J. Weng, Q. Meng, and X. Qu: Vessel collision frequency estimation in the Singapore Strait, Journal of Navigation, 65(2) (2012), pp.207-221.

DOI: 10.1017/s0373463311000683

Google Scholar

[5] Q. Meng, X. Qu: Bus dwell time estimation at bus bays: A probabilistic approach. Transportation Research Part C, 35 (2013), pp.46-56.

DOI: 10.1016/j.trc.2013.08.007

Google Scholar

[6] R. Akçelik, and M. Beslsy, in: Queue Discharge Flow and Speed Models for Signalised Intersections. Akcelik and Associates Pty Ltd, Melbourne, Australia (2002).

DOI: 10.1016/b978-008043926-6/50008-7

Google Scholar

[7] S. Ahmed, T. Hassan, and M. Rahman: Comparison of Saturation Flow Rate at Signalized Intersections in Yokohama and Dhaka. Proceedings of the Eastern Asia Society for Transportation Studies, Vol. 5 (2005), p.959 – 96.

Google Scholar

[8] S. Wang: Efficiency and equity of speed limits in transportation networks. Transportation Research Part C, Vol. 32 (2013), p.61–75.

DOI: 10.1016/j.trc.2013.04.003

Google Scholar

[9] S. Wang, Q. Meng, and Z. Liu: Fundamental properties of volume – capacity ratio of a private toll road in general networks. Transportation Research Part B, 47 (2013), pp.77-86.

DOI: 10.1016/j.trb.2012.09.006

Google Scholar

[10] S. Wang, Q. Meng, H. Yang: Global optimization methods for the discrete network design problem. Transportation Research Part B, 50 (2013), p.42–60.

DOI: 10.1016/j.trb.2013.01.006

Google Scholar

[11] Signalised Intersections. Akcelik and Associates Pty Ltd, Melbourne, Australia (2002).

Google Scholar

[12] X. Qu, and Q. Meng: A note on hotspots identification for urban expressways. Safety Science, 66 (2014), pp.87-91.

DOI: 10.1016/j.ssci.2014.02.006

Google Scholar

[13] X. Qu, Y. Yang, Z. Liu, S. Jin, and J. Weng: Potential crash risks of expressways on-ramps and off-ramps: A case study in Beijing, China. Safety Science, 70 (2014), pp.58-62.

DOI: 10.1016/j.ssci.2014.04.016

Google Scholar

[14] X. Qu, E. Oh, J. Weng, and S. Jin: Bus travel time reliability analysis: A case study. Proceedings of the ICE – Transport, 167(3) (2014), pp.178-184.

DOI: 10.1680/tran.13.00009

Google Scholar

[15] Y. Kuang, X. Qu, and S. Wang: Propagation and dissipation of crash risk on Saturation freeways. Transportmetrica B: Transport Dynamics, 2(3) (2014), pp.203-214.

DOI: 10.1080/21680566.2014.930675

Google Scholar

[16] Z. Liu, Q. Meng, and S. Wang: Speed-based toll design for cordon-based congestion pricing scheme, Transportation Research Part C, 31 (2013), pp.83-98.

DOI: 10.1016/j.trc.2013.02.012

Google Scholar

[17] Z. Liu, S. Wang, S., and Q. Meng: Optimal Joint Distance and Time Toll for Cordon-based Congestion Pricing. Transportation Research Part B, 69 (2014), pp.81-97.

DOI: 10.1016/j.trb.2014.08.005

Google Scholar

[18] X. Qu, L. Ren, S. Wang, and E. Oh: Estimation of entry capacity for single-lane modern roundabouts: case study in Queensland, Australia. Journal of Transportation Engineering, 170(7) (2014), 0501402.

DOI: 10.1061/(asce)te.1943-5436.0000675

Google Scholar

[19] S. Jin, X. Qu, C. Xu, and D.H. Wang: Dynamic characteristics of traffic flow with consideration of pedestrians' road-crossing behaviour. Physica A: Statistical Mechanics and its Applications, 392 (18) (2013), pp.3881-3890.

DOI: 10.1016/j.physa.2013.04.030

Google Scholar

[20] S. Jin, D.H. Wang, C. Xu, and Z. Huang: Staggered car-following induced by lateral separation effects in traffic flow. Physics Letters A, 376(3) (2012), pp.153-157.

DOI: 10.1016/j.physleta.2011.11.005

Google Scholar

[21] J. Weng, and Q. Meng: Analysis of driver casualty risk for different work zone types. Accident Analysis and Prevention, 43(5) (2011), pp.1811-1817.

DOI: 10.1016/j.aap.2011.04.016

Google Scholar