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Advanced approach for the public transportation regulation system based on cybercars

Published online by Cambridge University Press:  08 February 2010

Asma Melki ,
Slim Hammadi ,
Yves Sallez ,
Thierry Berger  and
Christian Tahon
Asma Melki
Affiliation:
LAGIS École centrale de Lille, France.
Slim Hammadi
Affiliation:
LAGIS École centrale de Lille, France.
Yves Sallez
Affiliation:
LAMIH with SP, Université de Valenciennes et du Hainaut-Combrésis, France; [email protected]
Thierry Berger
Affiliation:
LAMIH with SP, Université de Valenciennes et du Hainaut-Combrésis, France; [email protected]
Christian Tahon
Affiliation:
LAMIH with SP, Université de Valenciennes et du Hainaut-Combrésis, France; [email protected]
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Abstract

In the last decade, the authorities require the use of safe, comfortable vehicles to assure a door to door aspect with respect of environment in the urban context. In this paper, we propose an advanced approach of transport regulation where we integrate cybercars into a regulation process as an alternative in disruption cases. For that, we propose an ITS architecture including public transportation and cybercars into the same framework. We will show that collaboration between these two systems provides better results than managing them separably.

Keywords

Type
Research Article
Information
RAIRO - Operations Research , Volume 44 , Issue 1 , January 2010 , pp. 85 - 105
Copyright
© EDP Sciences, ROADEF, SMAI, 2010

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References

M. Aloulou, Application des algorithmes génétiques à la régulation du trafic des bus. Master thesis, Université des Sciences et Technologies de Lille (1999).
Chang, S. and Chun-Lin, H., Modeling passenger waiting time for intermodal transit stations. Annual Meeting of the Transportation Research Board 1 (2001) 69–75. CrossRef
G. Choquet, Theory of capacities 5 (1953) 131–295.
J. Dearien and M. Plum, The capital, energy, and time economics of an automated, on-demand transportation system. IEEE AES Systems Magazine (1993).
D. Denneberg and M. Grabish, Shapley value and interaction index, in Information Sciences, (1999) 149–170.
Ezzedine, H., Bonte, T., Kolski, C. and Tahon, C., Integration of traffic management and traveller information systems: basic principles and case study in intermodal transport system management. IJCCC 3 (2008) 281–294.
H. Ezzedine, C. Kolski and A. Peninou, Agent oriented design of human- computer interface. Application to supervision of an urban transport network 18 (2005) 255–270.
M. Grabisch, Fuzzy integral in multicriteria decision making, in Fuzzy Sets and Systems 69 (1995) 279–298.
M. Grabisch, Pattern Recogn. Lett. 17 (1996) 567–575.
M. Grabisch and M. Roubens, Fuzzy Measures and Integrals – Theory and Applications, in Application of the Choquet Integral in Multicriteria Decision Making, Physica Verlag (2000) 415–434.
S. Lepreux, M.-A. Hariri, J. Rouillard, D. Tabary, J.-C. Tarby and C. Kolski, Human-Computer Interaction. Springer-Verlag (2007) 134–143.
Y. Li, Real-time scheduling on a transit bus route: A 0-1 stochastic programming model. Technical report, Centre de Recherche sur le Transport, Université de Monréal (1991).
M. Mcdonald and T. Voge, Analysis of potentials and limitations of cybernetic transport systems. Technical report.
A. Melki, F. Dimutruscu, Y. Sallez, T. Berger and S. Hammadi, Interaction des transports publics et des cybercars dans un contexte urbain. IEEE LT (2007).
A. Melki and S. Hammadi, Hierarchic decision support system approach with evaluation of decision classes of a traffic network transportation. IEEE SMC (2006).
M. Ouldsidi, Contribution à l'amélioration des systèmes d'aide à la décision pour la régulation du trafic dans les réseaux de transport collectif. Ph.D. thesis, École centrale de Lille (2006).
M. Parent, Cybercars: A solution for urban transport, in CODATU Conference (2004).
M. Parent and G. Gallais, Cybercars: Review of first projects. Ninth International Conference on Automated People Movers.
M. Parent and G. Gallais, Intelligent transportation in cities with cts. ITS World Congress.
Y. Sallez, T. Berger and D. Trentesaux, A stigmergic approach for dynamic routing of active products in FMS. Elsevier Computers in Industry (2008).
O. Serrate, T. Berger, D. Tabary and C. Kolski, Towards context-aware interactions between humans and a self-organized cybercar system. 27th European Annual Conference on Human Decision-Making and Manual Control, EAM'08 (2008).
S. Shen and N. Wilson, Optimal integrated real-time disruption control model for rail transit systems. Computer-Aided Scheduling of Public Transport (2001) 335–364.
M. Sugeno, Theory of fuzzy integrals and its applications. Ph.D. thesis, Tokyo Institute of Technology (1974).
D. Trentesaux, T. Berger and Y. Sallez, Product and resource driven control of allocation and routing process in fms. MOSIM'08 (2008).
Yager, R., The induced fuzzy integral aggregation operator. Int. J. Intelligent Syst. 17 (2002) 1049–1065. CrossRef