Skip to main content
Log in

Tram passive signal priority strategy based on the MAXBAND model

  • Transportation Engineering
  • Published:
KSCE Journal of Civil Engineering Aims and scope Submit manuscript

Abstract

This research proposes a new tram progression model, TRAMBAND, which is a passive tram signal priority strategy. TRAMBAND was formulated based on the MAXBAND model, which is a traditional arterial signal optimization model to maximize bandwidth. A tram that leaves a station during an appointed green time can arrive at subsequence station without experiencing intersection delays and stops by using the tram bandwidth. In order to guarantee a desired green time for other road users and minor streets, the TRAMBAND model determines the traffic signal timings for tram passive priority using only a left-turn phase sequence and offset. This strategy also maximizes the general vehicles bandwidth in the context of the fixed tram bandwidth in a median tram rail. The tram dwell-time and its variability influence the efficiency of the passive priority. In this study, the stop time at station is divided by the dwell-time and waiting time. The tram has to wait at station during the waiting time after the dwell-time; however, the waiting time is used as slack time to absorb the dwell-time variability and to maximize the general vehicle bandwidth. The case study is based on nine signalized intersections and a micro-simulator VISSIM, wherein it demonstrates that the proposed tram priority model, TRAMBAND, is capable of computing signal timings so as to avoid intersection delays and stops of tram and maintain the general vehicle bandwidth.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Celniker, S. and Wayne, T. E. (1992). “Trolley priority on signalized arterials in downtown San Diego.” Transportation Research Record, No. 1361, pp. 184–187.

    Google Scholar 

  • Chandler, C. and Hoel, A. L. (2004). Effects of light rail transit on traffic congestion, Research Report No. UVACTS 5-14-68, Center for Transportation Studies, University of Virginia, Charlottesville, VA.

    Google Scholar 

  • Dion, F. and Ghanim, M. (2007). “Impact of dwell time variability on transit signal priority performance at intersections with nearside bus stop.” Proc. of 86th Transportation Research Board Annual Meeting, Washington, D.C.

    Google Scholar 

  • Gartner, N. H., Assmann, S. F., Lasaga, F., and Hou, D. L.} (1991). “A multi-band approach to arterial traffic signal optimization.” Transportation Research Part B, Vol. 25, No. 1, pp. 55–74.

    Article  Google Scholar 

  • Hounsell, N. B. and Bretherton, R. D. (1995). “Protecting buses from congestion using traffic signal control.” Proc. of IEE Colloquium on Urban Congestion Management, London. UK

  • International Energy Association (IEA). (2009). CO2 emissions from fuel combustion 2009 highlights, [Online] Available at: http:// www.iea.org/co2highlights/co2highlights.pdf (Accessed 10 Mar 2010).

    Google Scholar 

  • Kim, W. H. (2004). Improved transit signal priority system for networks with nearside bus stops. PhD Thesis, Texas A&M University, College Station, TX.

    Google Scholar 

  • Koonce, P., Lee, R., Lee, K., Quayle, S., Beaird, S., Braud, C., Bonneson, J., Tarnoff, P., and Urbanik, T. (2008). Traffic signal timing manual, Report No. FHWA-HOP-08-024, FHWA, U.S. Department of Transportation, Washington, D.C.

    Google Scholar 

  • Little, J. D. C. (1966). “The synchronization of traffic signals by mixedinteger linear programming.” Operation Research, Vol. 14, pp. 568–574.

    Article  MATH  Google Scholar 

  • Little, J. D. C., Kelson, M. D., and Gartner, N. H. (1981). A versatile program for setting signals on arteries and triangular networks, Massachusetts Institute of Technology, Cambridge, MA.

    Google Scholar 

  • Liu, H., Skabardonis, A., and Li, M. (2006). “Simulation of transit signal priority using the NTCIP architecture.” Journal of Public Transportation, 2006 BRT Special Edition, pp. 117–136.

    Google Scholar 

  • Maloney, M. and Boyle, D. (1999). “Components of travel time on the Glendale Beeline Bus Network.” Transportation Research Record, No. 1666, pp. 23–27.

    Article  Google Scholar 

  • McGinley, F. J. and Stolz, D. R. (1985. “The design of tram priority at traffic signals.” Journal of Advanced Transportation, Vol. 19, No. 2, pp. 133–151.

    Article  Google Scholar 

  • Oliveira-Neto, F. M., Loureiro, C. F. G., and Lee, D. H. (2009). “Active and passive bus priority strategies in mixed traffic arterials controlled by SCOOT adaptive signal system: Assessment of performance in Fortaleza, Brazil.” Transportation Research Record, No. 2128, pp. 58–65.

    Article  Google Scholar 

  • Pillai, R. S. and Rathi, A. K. (1995). MAXBAND version 3.1: Heuristic and optimal approach for setting the left turn phase sequences in signalized networks, Report No. ORNL/TM-12869, Oak Ridge National Laboratory, Oak Ridge, TN.

    Google Scholar 

  • PTV (2005). VISSIM user manual, PTV Planung Transport Verkehr AG, Kalsruhe, Germany.

    Google Scholar 

  • Sin, S. K. (2009). “Signalling system for Korean low-floor tram.” Proc. of 40th Int. Conf. of the Korea Electrical Engineers Institute, Seoul, Korea, pp. 14–17.

    Google Scholar 

  • Skabardonis, A. (2000). “Control strategies for transit priority.” Transportation Research Record, No. 1727, pp. 20–26.

    Article  Google Scholar 

  • Smith, H. R., Hemily, P. B., and Ivanovic, M. (2005). Transit Signal Priority (TSP): A planning and implementation handbook, ITS AMERICA, Washington, D.C.

    Google Scholar 

  • Stamatiadis, C. and Gartner, N. H. (1996). “MULTIBAND-96: A program for variable bandwidth progression optimization of multiarterial traffic networks.” Transportation Research Record, No. 1554, pp. 9–17.

    Article  Google Scholar 

  • Sunkari, S. R., Beasley, P. S., Urbanik, T., and Fambro, D. B. (1995). “Model to evaluate the impacts of bus priority on signalized intersections.” Transportation Research Record, No. 1494, pp. 117–123.

    Google Scholar 

  • Urbanik, T. (1997. “Priority treatment of buses at traffic signals.” Transportation Engineering, Vol. 47, No. 11, pp. 31–33.

    Google Scholar 

  • Wood, K. and Baker, R. T. (1992. “Using SCOOT weightings to benefit strategic routes.” Traffic Engineering and Control, Vol. 31, No. 4, pp. 226–235.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Youngje Jeong.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jeong, Y., Kim, Y. Tram passive signal priority strategy based on the MAXBAND model. KSCE J Civ Eng 18, 1518–1527 (2014). https://doi.org/10.1007/s12205-014-0159-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12205-014-0159-1

Keywords

Navigation