Skip to main content

MPC-Based Coordinated Control Design of the Ramp Metering

  • Chapter
  • First Online:
Predictive Cruise Control for Road Vehicles Using Road and Traffic Information

Part of the book series: Advances in Industrial Control ((AIC))

  • 527 Accesses

Abstract

The modeling and analysis of the mixed traffic, in which controlled vehicles and conventional uncontrolled vehicles are traveling together, require novel methodologies. Since the speed profiles of the look-ahead vehicles may differ from those of the conventional vehicles, the characteristics of the traffic flow change. As motivations, two examples from the previous research results of the authors are presented.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 159.99
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

  • Ashton W (1966) The theory of traffic flow. Spottiswoode, Ballantyne and Co. Ltd., London

    Google Scholar 

  • Csikos A, Tettamanti T, Varga I (2014) Nonlinear gating control for urban road traffic network using the network fundamental diagram. J Adv Transp 49(5):597–615

    Article  Google Scholar 

  • Frejo J, Camacho E (2012) Global versus local MPC algorithms in freeway traffic control with ramp metering and variable speed limits. IEEE Trans. Intell. Transp. Syst. 13(4):1556–1565

    Article  Google Scholar 

  • Gartner N, Wagner P (2008) Analysis of traffic flow characteristics on signalized arterials. Transp Res Rec 1883:94–100

    Article  Google Scholar 

  • Gill PE, Murray W, Wright M (1981) Practical optimization. Academic Press, London

    MATH  Google Scholar 

  • Guo J, Huang W, Williams BM (2014) Adaptive kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification. Transp Res Part C Emerg Technol 43(1):50–64

    Article  Google Scholar 

  • Jarvis-Wloszek Z (2003) Lyapunov based analysis and controller synthesis for polynomial systems using sum-of-squares optimization. PhD thesis, University of California, Berkeley

    Google Scholar 

  • Jones WD (2001) Forecasting traffic flow. IEEE Spectr 38(1):90–91

    Article  Google Scholar 

  • Lv Y, Duan Y, Kang W, Li Z, Wang FY (2015) Traffic flow prediction with big data: a deep learning approach. IEEE Trans Intell Transp Syst 16(2):865–873

    Google Scholar 

  • Messmer A, Papageorgiou M (1990) METANET-a macroscopic simulation program for motorway networks. Traffic Eng Control 31:466–470

    Google Scholar 

  • Moretti F, Pizzuti S, Panzieri S, Annunziato M (2015) Urban traffic flow forecasting through statistical and neural network bagging ensemble hybrid modeling. Neurocomputing 167(1):3–7

    Article  Google Scholar 

  • Németh B, Bede Z, Gáspár P (2017a) Control design of traffic flow using look-ahead vehicles to increase energy efficiency. In: American control conference, pp 3530–3535

    Google Scholar 

  • Németh B, Bede Z, Gáspár P (2017b) Modelling and analysis of mixed traffic flow with look-ahead controlled vehicles. In: 20th IFAC world congress

    Google Scholar 

  • Papageorgiou M, Vigos G (2008) Relating time-occupancy measurements to space-occupancy and link vehicle-count. Transp Res Part C 16(1):1–17

    Article  Google Scholar 

  • Schmid C, Biegler L (1994) Quadratic programming methods for reduced hessian SQP. Comput Chem Eng 18(9):817–832

    Article  Google Scholar 

  • Tan W, Packard A (2008) Stability region analysis using polynomial and composite polynomial lyapunov functions and sum-of-squares programming. IEEE Trans Autom Control 53(2):565–571

    Article  MathSciNet  Google Scholar 

  • Tettamanti T, Luspay T, Kulcsár B, Péni T, Varga I (2014) Robust control for urban road traffic networks. IEEE Trans. Intell. Transp. Syst. 15(1):385–398

    Article  Google Scholar 

  • Treiber M, Kesting A (2013) Traffic flow dynamics: data, models and simulation. Springer, Berlin

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Péter Gáspár .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Gáspár, P., Németh, B. (2019). MPC-Based Coordinated Control Design of the Ramp Metering. In: Predictive Cruise Control for Road Vehicles Using Road and Traffic Information. Advances in Industrial Control. Springer, Cham. https://doi.org/10.1007/978-3-030-04116-8_8

Download citation

Publish with us

Policies and ethics