9.4 Conclusion
This study shows that powerful controllers can be built using global navigation satellite systems (GNSS) for data input. It also demonstrates that, when the right techniques are used, these controllers outperform classical systems and provide a different point of view for implementing intelligent transportation systems.
Furthermore, it illustrates that the combination of ACC+Stop&Go relieves human drivers trapped in traffic jams of tedious tasks, thus improving driving safety.
In our opinion, fully automated driving is utopian and will not be achieved for many years. However, the experiments described here are a step in this direction. Our applications belong to the field of driving safety components and can be classed as driving aids.
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References
Willie D. Jones, “Keeping Cars from Crashing,” IEEE Spectrum, September 2001, pp 40–45.
Jesse Crosse, “Tomorrow’s World,” Automotive World, January/February 2000, pp 46–48.
STARDUST, “Scenarios and Evaluation Framework for City Case Studies”, European Commission Fifth Framework Programme Energy, Environment and Sustainable Development Programme Key Action 4: City of Tomorrow and Cultural Heritage, Deliverable 2, 3, 2002.
Colleen Serafin, “Driver Preferences and Usability of Adjustable Distance Controls for an Adaptive Cruise Control (ACC) System,” Ford Motor Company Systems Technology Inc. October 1996.
P. A. Ioannou and C. C. Chien, “Autonomous Intelligent Cruise Control”, IEEE Transactions on Vehicular Technology, pp 657–672, Vol. 42, Nov 1993.
R. Holve, P. Protzel, J. Bernasch, K. Naab, “Adaptive Fuzzy Control for Driver Assistance in Car-Following”, Proceedings of the 3rd European Congress on Intelligent Techniques and Soft Computing — EUFIT’95, Aachen, Germany, pp 1149–1153, Aug. 1995.
“Future-Oriented Technologies Revolutionize Active Vehicle Safety. Driver-assistance systems of the future”, Volkswagen of America News, 20 January 2004.
J. I. Suárez, B. M. Vinagre, Y. Q. Chen, “Spatial Path Tracking of an Autonomous Industrial Vehicle Using Fractional Order Controllers”, ICAR 2003 Congress, Portugal, 2003.
E. J. Rossetter, J. C. Gerdes, “Performance Guarantees for Hazard Based Lateral Vehicle Control”, proceedings of the 2002 IMECE Conference, 2002.
S. Bentalva et al., “Fuzzy Path Tracking Control of a Vehicle”, IEEE International Conference on Intelligent Vehicles, pp 195–200, 1998.
S. Sheikholeslam and C. A. Desoer. “Design of Decentralized Adaptive Controllers for a Class of Interconnected Nonlinear Dynamical Systems: Part I”, PATH Technical Memorandum 92-1, Department of Electrical Engineering and Computer Sciences, Institute of Transportation Studies University of California, Berkeley, February 3,1992.
R. Holve, P. Protzel, K. Naab, “Generating Fuzzy Rules for the Acceleration Control of an Adaptive Cruise Control System”, Fuzzy Information Processing Society, 1996. NAFIPS. Biennal Conference of the North American, pp 451–455, 1996.
D. A. Pomerleau, “ALVINN: An Autonomous Land Vehicle In a Neural Network”, Advances in Neural Information Processing Systems 1, Morgan Kaufmann, 1989.
M. Sugeno, “An Introductory Survey to Fuzzy Control,” Information Sciences 36, 1985.
T. Takagi and M. Sugeno, “Fuzzy Identification of Systems and Its Applications to Modelling and Control”, IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC-15, No. 1, pp 116–132, January/February, 1985.
L. A. Zadeh, “Fuzzy Sets”, Information and Control 8, pp. 338–353, 1965.
E. H. Mamdani, “Application of Fuzzy Algorithms for Control of a Simple Dynamic Plant”, Proc. IEE, 121,12, pp 1585–1588, 1974.
J. E. Naranjo, Carlos González, Ricardo García, Teresa de Pedro, and Rodolfo E. Haber “Power Steering Control Architecture for Automatic Driving”, IEEE Transactions on Intelligent Transportation Systems, Vol. 6, No. 4, pp 406–415, December 2005.
M. Sugeno, I. Hirano, S. Nakamura and S. Kotsu, “Development of an Intelligent Unmanned Helicopter”, IEEE International Conference on Fuzzy Systems, Vol. 5, pp 33–4, 1995.
M. Sugeno, “Industrial Applications of Fuzzy Control”, North Holland, New York, 1985.
M. Persson, F. Botling, E. Hesslow, R. Johansson, “Stopο Controller for Adaptive Cruise Control”, Control Applications, 1999, Proceedings of the 1999 IEEE Conference on, Vol. 2, pp 1692–1697, 1999.
S. Kato, S. Tsugawa, K. Tokuda, T. Matsui, H. Fujiri, “Vehicle Control Algorithms for Cooperative Driving With Automated Vehicles and Intervehicle Communications”, IEEE Transactions on Intelligent Transportation Systems, Vol. 3, No. 3, September 2002, pp 155–161.
Q. Chen, U. Ozguner, K. Redmill, “Ohio State University at the DARPA Grand Challenge: Developing a Completely Autonomous Vehicle”, IEEE Intelligent Systems, Sep–Oct 2004, Vol. 19, No. 5, pp 8–11.
Mark Bursa. “Big names invest heavily in advanced ITS technology,” ISATA Magazine December/January 2000, pp 24–30.
JM. Blosseville, M. Parent. “The French Program: La Route Automatisee,” IEEE Intelligent Systems, May/June 2000, pp 10–13.
California PATH Program. “Literature Review of ADAS/AVG (AVCSS) for Japan and United States,” June 27, 2001.
R. Bishop, “Intelligent Vehicle Applications Worldwide,” IEEE Intelligent Systems, January/February, 2000, pp 78–81.
L. A. Zadeh, “Fuzzy Languages and their Relation to Human and Machine Intelligence”, Man and Computer Proc. Int. Conf., Bordeaux, pp 130–165, 1970.
L. A. Zadeh, “Approximate Reasoning Based on Fuzzy Logic”, Memorandum No. UCB/ERL M79/32, Electronics Research Laboratory, College of Engineering, University of California, Berkeley, May 1979.
L. A. Zadeh, “A Theory of Approxinate Reasoning”, Machine Intelligence 9, J. E. Hayes, D. Michie and L. I. Mikulich, editors, Wiley, 1979.
Lofti A. Zadeh, “A New Direction in AI, Towards a Computational Theory of Perceptions,” AI Magazine. Spring 2001, pp 73–84.
R. Garcia and T. De Pedro, “Modeling a Fuzzy Coprocessor and Its Programming Language,” Mathware and Soft Computing Vol. V, No. 2–3, 1998, pp 167–174
R. Garcia, T. De Pedro, J. E. Naranjo, J Reviejo and C. Gonzalez, “Frontal and Lateral Control for Unmanned Vehicles in Urban Tracks,” IEEE Intelligent Vehicle Symposium, June, 2002.
A.V. Patel, B.M. Mohan, “Some Numerical Aspect of Center of Area Defuzzification Method”, Fuzzy Sets and Systems, 132, pp 401, 409, 2002.
Radix, J.-C. “Introduction au Filtrage Numèrique”. Eyrolles, Paris, 1970.
JE Naranjo, “Sistemas de Comunicaciones Inalámbricos Aplicados a la Conducción Automática de Vehículos,” Degree Thesis Universidad Politécnica de Madrid Spain, September 2001.
“Evaluation of the Intelligent Cruise Control System. Vol. I — Study Results”, Research and Special Programs Administration, Volpe National Transportation Systems Center, Cambridge, MA 02142-1093.
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Naranjo, J.E., González, C., García, R., de Pedro, T. (2006). Fuzzy Logic for Transportation Guidance: Developing Fuzzy Controllers for Maintaining an Inter-Vehicle Safety Headway. In: Bai, Y., Zhuang, H., Wang, D. (eds) Advanced Fuzzy Logic Technologies in Industrial Applications. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-84628-469-4_9
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