Advertisement

Arabian Journal for Science and Engineering

, Volume 42, Issue 3, pp 1013–1024 | Cite as

The Integration of Dynamic Lane Grouping Technique and Signal Timing Optimization for Improving the Mobility of Isolated Intersections

  • Wael K. M. Alhajyaseen
  • Nedal T. Ratrout
  • Khaled J. Assi
  • Amjad Abu Hassan
Research Article - Civil Engineering
  • 117 Downloads

Abstract

Spatial variations in traffic demand degrade intersection performance that can result in the waste of time–space resources. Existing control strategies of intersections assume fixed lane for movement assignment regardless of demand variations. Dynamic lane grouping (DLG) is one of the intelligent transportation systems techniques in which the lane allocation depends mainly on the real-time movement demand. The settings of intersection signal control depend on lane configuration where a demand-responsive lane allocation strategy will help in providing efficient signal operation with lower delays. This paper investigates the benefits of DLG technique in gaining improvements in the performance of isolated signalized intersections. A model that integrates the identification of optimum lane group combination and optimum signal timing parameters is developed. The objective function of the optimization model is based on the minimization of average intersection delay. A case study is conducted on an isolated signalized intersection in Dhahran city, Saudi Arabia. A comparison between the existing operation with fixed lane grouping and the proposed DLG is made in terms of average intersection delay, cycle length, and maximum lane volume-to-capacity ratio. It is concluded that DLG technique achieves significant reduction in average intersection delay that leads to significant improvement in mobility levels of signalized intersections.

Keywords

Dynamic lane grouping Signal timing optimization Intersection delay Traffic demand variations Intelligent transportation systems 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Weijermars, W.A.M.: Analysis of Urban Traffic Patterns Using Clustering. PhD dissertation, University of Twente, Enschede, Netherlands (2007)Google Scholar
  2. 2.
    Webster, F.V.: Traffic signal settings. Road Research Technical Paper no. 39. Great Britain Road Research Laboratory, London, UK (1958). https://trid.trb.org/view.aspx?id=113579
  3. 3.
    Gårder, P.: Pedestrian safety at traffic signals: a study carried out with the help of a traffic conflicts technique. Accid. Anal. Prev. 21(5), 435–444 (1989)CrossRefGoogle Scholar
  4. 4.
    Mehran, B.; Nakamura, H.: Considering travel time reliability and safety for evaluation of congestion relief schemes on expressway segments. IATSS Res. 33(1), 55–70 (2009)CrossRefGoogle Scholar
  5. 5.
    Riegelhuth, G.; Pilz, A.: Temporary Hard Shoulder Use in Hessen: Experiences and Strategic Planning. Traffic Centre Hessen (CENTRICO), Aalborg (2007)Google Scholar
  6. 6.
    Mirshahi, M.; Obenberger, J.T.; Fuhs, C.A.; Howard, C.E.; Krammes, R.A.; Kuhn, B.T.; Mayhew, R.M.; Moore, M.A.; Sahebjam, K.; Stone, C.J.; Yung, J.L.: Active traffic management: the next step in congestion management. Report No. FHWA-PL-07-012. Federal Highway Administration, US Department of Transportation (2007). http://international.fhwa.dot.gov/pubs/pl07012/atm_eu07.pdf
  7. 7.
    MacDonald, M.: ATM Monitoring and Evaluation. Highways Agency, Bristol (2008)Google Scholar
  8. 8.
    Wolshon, B.; Lambert, L.: Reversible lane systems: synthesis of practice. J. Transp. Eng. 132(12), 933–944 (2006)CrossRefGoogle Scholar
  9. 9.
    Voigt, A.P.; Goolsby, M.E.: Evaluation of changeable lane assignment system for daily operations. Report No. TX-00/2910-1. Texas Transportation Institute, The Texas A&M University, TX, USA (1999). http://d2dtl5nnlpfr0r.cloudfront.net/tti.tamu.edu/documents/2910-1.pdf
  10. 10.
    Ahmed, K.: Evaluation of low cost technique “Indirect Right Turn” to reduce congestion at urbanized signalized intersection in developing countries. Proced. Soc. Behav. Sci. 16, 568–577 (2011)CrossRefGoogle Scholar
  11. 11.
    Yang, Z.; Liu, P.; Chen, Y.; Yu, H.: Can left-turn waiting areas improve the capacity of left-turn lanes at signalized intersections? Proced. Soc. Behav. Sci. 43, 192–200 (2012)CrossRefGoogle Scholar
  12. 12.
    Guell, D.L.: Additional through lanes at signalized intersections. J. Transp. Eng. 109(4), 499–505 (1983)CrossRefGoogle Scholar
  13. 13.
    Ding, J.; Zhou, H.; Yao, R.: Optimization of lane use and signal timing for isolated signalized intersections with variable lanes. In: CICTP 2014, Changsha, China, pp. 2012–2024 (2014). doi: 10.1061/9780784413623.193
  14. 14.
    Zhang, L.; Wu, G.: Dynamic lane grouping at isolated intersections: problem formulation and performance analysis. Transp. Res. Rec. J. Transp. Res. Board 2311, 152–166 (2012)CrossRefGoogle Scholar
  15. 15.
    Wu, G.; Boriboonsomsin, K.; Zhang, L.; Barth, M.J.: Simulation-based benefit evaluation of dynamic lane grouping strategies at isolated intersections. Presented at the 15th International IEEE Conference on Intelligent Transportation Systems (ITSC), Anchorage, AK, USA, pp. 1038–1043 (2012)Google Scholar
  16. 16.
    Li, X.; Wang, H.; Chen, J.: Dynamic lane-use assignment model at signalized intersections under tidal flow. In: ICTE 2013, Chengdu, China, pp. 2673–2678 (2013). doi: 10.1061/9780784413159.389
  17. 17.
    Zhong, Z.; Liu, H.; Ma, W.; Long, K.: An optimization method of dynamic lane assignment at signalized intersection. Presented at the International IEEE Conference on Intelligent Computation Technology and Automation (ICICTA), Hunan, China, pp. 1277–1280 (2008)Google Scholar
  18. 18.
    Li, X.; Sun, J.: Effects of turning and through lane sharing on traffic performance at intersections. Phys. A Stat. Mech. Its Appl. 444, 622–640 (2016)MathSciNetCrossRefGoogle Scholar
  19. 19.
    Zhao, J.; Yun, M.; Zhang, H.M.; Yang, X.: Driving simulator evaluation of drivers’ response to intersections with dynamic use of exit-lanes for left-turn. Accid. Anal. Prev. 81, 107–119 (2015)CrossRefGoogle Scholar
  20. 20.
    Li, Y.; Li, K.; Tao S.; Wan, X.; Chen, K.: Optimization of the design of pre-signal system using improved cellular automation. Computational Intelligence and Neuroscience. Hindawi Publishing Corporation, vol. 2014, Article ID 926371, p. 11 (2014). doi: 10.1155/2014/926371
  21. 21.
    Xie, H.; Ma, W.: Simulation-based study on a pre-signal control system at isolated intersection with separate left turn phase. Presented at the 9th IEEE International Conference on Networking, Sensing and Control (ICNSC), Beijing, China, pp. 103–106 (2012)Google Scholar
  22. 22.
    Zhou, Y.; Zhuang, H.: Traffic performance of signalized intersections with protected pre-signal established upstream. Appl. Mech. Mater. 253–255, 1299–1306 (2012)CrossRefGoogle Scholar
  23. 23.
    Kimber, R.; McDonald, M.; Hounsell, N.: The prediction of saturation flows for road junctions controlled by traffic signals. Transport and Road Research Laboratory, Report No. 67, (1986). http://worldcat.org/issn/02665247, https://trid.trb.org/view.aspx?id=237965
  24. 24.
    Wong, C.; Wong, S.: Lane-based optimization of signal timings for isolated junctions. Transp. Res. Part B Methodol. 37(1), 63–84 (2003)CrossRefGoogle Scholar
  25. 25.
    Transportation Research Board: Highway Capacity Manual HCM. Washington, DC, USA (2010). http://hcm.trb.org/?qr=1

Copyright information

© King Fahd University of Petroleum & Minerals 2016

Authors and Affiliations

  1. 1.Qatar Transportation and Traffic Safety Center, College of EngineeringQatar UniversityDohaQatar
  2. 2.Department of Civil and Environmental EngineeringKing Fahd University of Petroleum and MineralsDhahranKingdom of Saudi Arabia
  3. 3.Department of Information and Computer ScienceKing Fahd University of Petroleum and MineralsDhahranKingdom of Saudi Arabia

Personalised recommendations