Skip to main content
SpringerLink
Log in

Review of Ramp Metering Methodologies for Urban Expressway

  • Conference paper
  • First Online:
International Symposium for Intelligent Transportation and Smart City (ITASC) 2019 Proceedings (ITASC 2019)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 127))

Included in the following conference series:

Abstract

Ramp metering is a viable, reliable and effective strategy which maintains urban expressways in optimum status. Various forms of applications and researches on ramp metering are studied systematically by literature analysis of various countries. It can be classified into different categories according to different control objects, tasks and methods. In view of the history of ramp metering development, a review and analysis is made for the essential urban expressway ramp metering methodologies and their advantages and disadvantages in this paper, which is based on two aspects: isolated ramp metering and coordinated ramp metering. And also some perspectives on the development of ramp metering research are brought up in order to propose the tendency of further studies.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Shaaban, K., Khan, M.A., Hamila, R.: Literature review of advancements in adaptive ramp metering. Procedia Comput. Sci. 83, 203–211 (2016)

    Article  Google Scholar 

  2. Wang, H.: Advanced control strategy of urban expressway traffic flow. Beijing University of Technology (2003)

    Google Scholar 

  3. Wattleworth, J.A., Berry, D.S.: Peak period analysis and control of a freeway system some theoretical investigations. HRB Ree 89, 1–25 (1965)

    Google Scholar 

  4. Yang, J.: Research on ramp traffic mechanism and ramp metering design of urban expressway. Chongqing Jiaotong University (2008)

    Google Scholar 

  5. Iida, Y., Hasegawa, T., Asakura, Y., et al.: A formulation of onramp traffic control system with route guidance for urban expressway. In: IFAC 6th International Conference on Control in Transportation Systems. France, pp. 229–236 (1989)

    Article  Google Scholar 

  6. Iida, Y., Asakum, Y., Tanaka, H.: Optimal on-ramp traffic control method for urban expressway network with multiple routes. In: Proceeding of Infrastructure Planning, pp. 305–312 (1986)

    Google Scholar 

  7. Zheng, J., Dong, D., Chen, H.: Comparison analysis on ramp metering strategies for urban expressway. Comput. Meas. Control 14(2), 196–199 (2006)

    Google Scholar 

  8. Masher, D.P., Ross, D.W., Wong, P.J., et al.: Guidelines for design and operating of ramp metering systems. Stanford Research Institute, Report NCHRP3-22, SRI Project 3340 (1975)

    Google Scholar 

  9. Papageorgiou, M., Blosseville, J.M., Hadj-Salem, H.: Modelling and real-time control of traffic flow on the southern part of Boulevard Peripherique in Paris, Part II: coordinated on-ramp metering. Transp. Res. Part A (General) 24(5), 362–370 (1990)

    Google Scholar 

  10. Papageorgiou, M., Hadj-Salem, H., Blosseville, J.M.: ALINEA: a local feedback control law for on-ramp metering. Transp. Res. Rec. J. Transp. Res. Board 1320, 58–64 (1991)

    Google Scholar 

  11. Papageorgiou, M., Hadj-Salem, H., Middelham, F.: ALINEA: a local ramp metering, summary of field results. Transp. Res. Rec. J. Transp. Res. Board 1603, 90–98 (1997)

    Article  Google Scholar 

  12. Papageorgiou, M.: Traffic control. In: Handbook of Transportation Science, 2nd edn. Kluwer Academic Publishers, Boston (2002)

    Google Scholar 

  13. Smaragdis, E., Papageorgiou, M.: A series of new local ramp metering strategies. In: 82nd Annual Meeting of the Transportation Research Board, Washington DC, Paper No. 03 3171 (2003)

    Google Scholar 

  14. Zhao, D., Liu, D., Yi, J.: Review of urban traffic signal optimization control method based on adaptive dynamic programming. Acta Automatica Sinica 35(6), 676–681 (2009)

    Article  Google Scholar 

  15. Zhang, H.M., Ritchie, S.G.: Freeway ramp metering using artificial neural networks. Transp. Res. Part C (Emerg. Technol.) 5(5), 273–286 (1997)

    Article  Google Scholar 

  16. Chen, L.L., May, A.D., Auslander, D.M.: Freeway ramp metering using fuzzy set theory for inexact reasoning. Transp. Res. Part A (General) 24(1), 15–25 (1990)

    Article  Google Scholar 

  17. Xu, J., Wang, F.Y.: Ramp metering based on adaptive critic designs. In: Proceedings of IEEE International Conference on Intelligent Transportation Systems, Toronto, pp. 1531–1536 (2006)

    Google Scholar 

  18. Teodorovic, D.: Swarm intelligence systems for transportation engineering: principles and applications. Transp. Res. Part C (Emerg. Technol.) 16, 651–667 (2008)

    Article  Google Scholar 

  19. Wong, C.K., Wong, S.C.: Lane-based optimization of signal timings for isolated junctions. Transp. Res. Part B 37, 63–84 (2002)

    Article  Google Scholar 

  20. Wong, C.K., Wong, S.C.: Lane-based optimization method for multi-period analysis of isolated signal control junctions. Transportmetrica 2(1), 53–85 (2006)

    Article  Google Scholar 

  21. Zhao, J., Ma, W., Zhang, H., et al.: Increasing the capacity of signalized intersections with dynamic use of exit lanes for left-turn traffic. Transp. Res. Rec. J. Transp. Res. Board 2355(2355), 49–59 (2013)

    Article  Google Scholar 

  22. Sun, W., Wu, X., Wang, Y., et al.: A continuous-flow-intersection-lite design and traffic control for oversaturated bottleneck intersections. Transp. Res. Part C Emerg. Technol. 56, 18–33 (2015)

    Article  Google Scholar 

  23. Zhao, J., Liu, Y.: Integrated signal optimization and non-traditional lane assignment for urban freeway off-ramp congestion mitigation. Transp. Res. Part C Emerg. Technol. 73, 219–238 (2016)

    Article  Google Scholar 

  24. Kwon, T.M., Ambadipudi, R., Kim, S.: Signal operations research laboratory for development and testing of advanced control strategies, Phase II. Center Transp. Stud. 55–70 (2002)

    Google Scholar 

  25. Changliang, Y., Honghai, L.: Coordinated control strategy of expressway-exit-auxiliary road signal and urban road intersection signal. Road Traffic Saf. 10(3), 38–44 (2010)

    Google Scholar 

  26. Zhang, X., Pan, C., Xun, Y.: A new signal coordination control model of joint area at the expressway conventional network. In: LISS 2012 (2013)

    Google Scholar 

  27. Lan, L., Jian, S., Keping, L.: On-ramp speed control of urban expressway. J. Transp. Inf. Saf. 29(3), 15–19 (2011)

    Google Scholar 

  28. Jacobsen, L., Henry, K., Mahyar, O.: Real-time metering algorithm for centralized control. Transp. Res. Rec. 1232, 17–26 (1989)

    Google Scholar 

  29. Yoshino, T., Sasaki, T., Hasegawa, T.: The traffic-control system on the Hanshin expressway. Interfaces 25(1), 94–108 (1995)

    Article  Google Scholar 

  30. Chen, O., Hotz, A., Ben-Akiva, M., et al.: Development and evaluation of a dynamic ramp metering control model. In: 8th IFAC Symposium on Transportation System, Chania, pp. 1162–1167 (1997)

    Google Scholar 

  31. Liu, J.C., Kim, J., Chen, Y., et al.: An Advanced Real Time Metering System: The System Concept. Department of Transportation, Texas (1993)

    Google Scholar 

  32. Liu, J.C., Kim, J., Lee, S., et al.: The advanced distributed ramp metering system (ARMS). In: Workshop on Parallel & Distributed Real-Time Systems (1994)

    Google Scholar 

  33. Yang, X.: Coordinated responsive metering methodologies and research of traffic system for urban expressway. Tongji University (1996)

    Google Scholar 

  34. Papageorgiou, M.: A hierarchical control system for freeway traffic. Transp. Res. Part B (Methodological) 17(3), 251–261 (1983)

    Article  Google Scholar 

  35. Papageorgiou, M.: Application of automatic control concepts to traffic flow modeling control. In: Balakrishnan, A.V., Thoma, M. (eds.) Lecture Notes on Control and Information Sciences, pp. 59–162. Springer, Heideberg (1983)

    Google Scholar 

  36. Zhang, G., Wang, Y.: optimizing coordinated ramp metering: a preemptive hierarchical control approach. Comput. Aided Civ. Infrastruct. Eng. 28(1), 22–37 (2013)

    Article  Google Scholar 

  37. Meshkat, A., Zhi, M., Vrancken, J.L.M., et al.: Coordinated ramp metering with priorities. Intel. Transport Syst. IET 9(6), 639–645 (2015)

    Article  Google Scholar 

  38. Taale, H., Schouten, W.J.J.P., Koote, J.V.: Design of a coordinated ramp-metering system near Amsterdam. In: International Conference on Road Traffic Monitoring & Control. IET (2002)

    Google Scholar 

  39. Oh, J.S., Cortes, C.E., Jayakrishnan, R., et al.: Microscopic simulation with large-network path dynamics for advance traffic management and information systems. Department of Civil Environmental Engineering and Institute of Transportation Studies, University of California Irvine, UCI-ITSTS-WP99-11, pp. 6–9 (1999)

    Google Scholar 

  40. Miller, H.J., Shaw, S.-L.: Geographic Information Systems for Transportation Principles and Applications, pp. 55–62, 321–324. Oxford University Press, Inc., Oxford

    Google Scholar 

  41. Zhang, J.: Study on control and guidance method for expressway communication. China Agriculture University (2005)

    Google Scholar 

  42. Chen, T.: Research on models of congestion forecast and control based on systems science theories. Southeast University (2005)

    Google Scholar 

  43. Li, J.: Theory and Method on Ramp Traffic Control. Beijing Jiaotong University Press, Beijing (2013)

    Google Scholar 

Download references

Acknowledgments

This research is supported by the Shanghai Science and Technology Committee (Number 17DZ1204003), and by Key Project of Special Development Fund for Zhangjiang National Independent Innovation Demonstration Zone in Shanghai (Number 201705-JD-C1085-056, 207105-JD-C1085-072).

Author information

Authors and Affiliations

  1. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, 200092, China

    Songxue Gai, Xiaoqing Zeng, Chaoyang Wu & Jifei Zhan

Authors
  1. Songxue Gai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiaoqing Zeng
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chaoyang Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jifei Zhan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Songxue Gai or Xiaoqing Zeng .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, Shanghai, China

    Xiaoqing Zeng

  2. Department of Geotechnical Engineering, Tongji University , Shanghai, Shanghai, China

    Xiongyao Xie

  3. Shanghai Jiao Tong University , Shanghai, Shanghai, China

    Jian Sun

  4. School of Environmental Science and Engineering, Tongji University , Shanghai, Shanghai, China

    Limin Ma

  5. School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA

    Yinong Chen

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gai, S., Zeng, X., Wu, C., Zhan, J. (2019). Review of Ramp Metering Methodologies for Urban Expressway. In: Zeng, X., Xie, X., Sun, J., Ma, L., Chen, Y. (eds) International Symposium for Intelligent Transportation and Smart City (ITASC) 2019 Proceedings. ITASC 2019. Smart Innovation, Systems and Technologies, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-13-7542-2_12

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-7542-2_12

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7541-5

  • Online ISBN: 978-981-13-7542-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation