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Design of Predictive Cruise Control Using Road Information

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Predictive Cruise Control for Road Vehicles Using Road and Traffic Information

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

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Abstract

As a result of growing global requirements, the automotive researchers are forced to develop flexible, reliable, and economical automotive systems which require less energy during the operation. Reducing fuel consumption is an important environmental and economic requirement for vehicle systems. Since the driveline system has an important role in the emission of the vehicle, the development of the longitudinal control systems is in the focus of the research and development of the vehicle industry.

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References

  • Bae HS, Ruy J, Gerdes J (2001) Road grade and vehicle parameter estimation for longitudinal control using GPS. In: 4th IEEE Conference on Intelligent Transportation Systems, vol 1, pp 1–6

    Google Scholar 

  • Bokor J, Balas G (2005) Linear parameter varying systems: a geometric theory and applications. In: 16th IFAC world congress, Prague, vol 1, pp 1–12

    Article  Google Scholar 

  • Ebnre A, Hermann R (2001) A self-organized radio network for automotive applications. In: 8th World congress on intelligent transportation systems, Sydney, Australia

    Google Scholar 

  • Faris WF, Rakha HA, Kafafy RI, Idres M, Elmoselhy S (2011) Vehicle fuel consumption and emission modelling: an in-depth literature review. Int J Veh Syst Model Test 6(3):318–395

    Google Scholar 

  • Festag A, Hessler A, Baldessari R, Le L, Zhang W, Westhoff D (2008) Vehicle-to-vehicle and road-side sensor communication for enhanced road safety. In: 15th World congress on intelligent transport systems

    Google Scholar 

  • Hahn J, Rajamani R, You S, Lee K (2004) Real-time identification of road-bank angle using differential GPS. IEEE Trans Control Syst Technol 12:589–599

    Article  Google Scholar 

  • Hellström E, Ivarsson M, Åslund J, Nielsen L (2009) Look-ahead control for heavy trucks to minimize trip time and fuel consumption. Control Eng Pract 17(2):245–254

    Article  Google Scholar 

  • Hellström E, Åslund J, Nielsen L (2010) Horizon length and fuel equivalents for fuel-optimal look-ahead control. Adv Automot Control 43(7): 360–365

    Article  Google Scholar 

  • Ivarsson M, Åslund J, Nielsen L (2009) Look ahead control - consequences of a non-linear fuel map on truck fuel consumption. Proc Inst Mech Eng Part D, J Automob Eng 223:1223–1238

    Article  Google Scholar 

  • Kesting A, Treiber M, Schnhof M, Helbing D (2007) Extending adaptive cruise control to adaptive driving strategies. Transp Res Rec 2000:16–24

    Article  Google Scholar 

  • Kiencke U, Nielsen L (2000) Automotive control systems for engine, driveline and vehicle. Springer, Heidelberg

    Google Scholar 

  • Kolmanovsky I, Filev D (2009) Stochastic optimal control of systems with soft constraints and opportunities for automotive applications. In: IEEE conference on control applications

    Google Scholar 

  • Kolmanovsky I, Filev D (2010) Terrain and traffic optimized vehicle speed control. In: IFAC advances in automotive control conference

    Google Scholar 

  • Labayrade R, Aubert D, Tarel J (2002) Real time obstacle detection in stereovision on non flat road geometry through “v-disparity” representation. Intell Veh Symp IEEE 2:646–651

    Google Scholar 

  • Lingman P, Schmidtbauer B (2002) Road slope and vehicle mass estimation using Kalman filtering. Veh Syst Dyn Suppl 37:12–23

    Article  Google Scholar 

  • Ljung L (1999) System identification: theory for the user. Prentice Hall

    Google Scholar 

  • Marquardt D (1963) An algorithm for least-squares estimation of nonlinear parameters. J Soc Ind Appl Math 11(2):431–441

    Article  MathSciNet  Google Scholar 

  • Németh B, Gáspár P (2010) Considering predicted road conditions in vehicle control design using \(\cal{H}_\infty \) method. In: IFAC advances in automotive control conference

    Google Scholar 

  • Nouveliere L, Braci M, Menhour L, Luu H (2008) Fuel consumption optimization for a city bus. In: UKACC control conference

    Google Scholar 

  • Nuevo J, Parra I, Sjoberg J, Bergasa L (2010) Estimating surrounding vehicles’ pose using computer vision. In: 13th IEEE conference on intelligent transportation systems, pp 1863–1868

    Google Scholar 

  • Pacejka HB (2004) Tyre and vehicle dynamics. Elsevier Butterworth-Heinemann, Oxford

    Google Scholar 

  • Packard A, Balas G (1997) Theory and application of linear parameter varying control techniques. In: American control conference, workshop I, Albuquerque, New Mexico

    Google Scholar 

  • Passenberg B, Kock P, Stursberg O (2009) Combined time and fuel optimal driving of trucks based on a hybrid model. In: European control conference, Budapest

    Google Scholar 

  • Rakha H, El-Shawarby I, Arafeh M, Dion F (2006) Estimating path travel-time reliability. In: IEEE intelligent transportation systems conference, Toronto, Canada, pp 236–241

    Google Scholar 

  • Rakha H, Van Aerde M, Case E, Ugge A (1989) Evaluating the benefits and interactions of route guidance and traffic control strategies using simulation. In: Vehicle navigation and information systems conference, 1989 Conference Record, pp 296–303

    Google Scholar 

  • Sahlholm P, Johansson K (2009) Road grade estimation for look-ahead vehicle control using multiple measurement runs. Control Eng Pract (in press)

    Google Scholar 

  • Swaroop D, Hedrick J (1996) String stability of interconnected systems. IEEE Trans Autom Control 41:349–357

    Article  MathSciNet  Google Scholar 

  • Trachtler A (2004) Integrated vehicle dynamics control using active brake, steering and suspension systems. Int J Veh Des 36:1–12

    Article  Google Scholar 

  • Wu F, Yang X, Packard A, Becker G (1996) Induced \(\rm L_2\) norm controller for LPV systems with bounded parameter variation rates. J Robust Nonlinear Control 6:983–988

    Article  MathSciNet  Google Scholar 

  • Zhou K, Doyle J, Glover K (1996) Robust and optimal control. Prentice Hall

    Google Scholar 

Download references

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Correspondence to Péter Gáspár .

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Gáspár, P., Németh, B. (2019). Design of Predictive Cruise Control Using Road Information. 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_2

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