Design of a multiagent solution for demand-responsive transportation

CLAUDIO ALONSO CUBILLOS FIGUEROA; Sandra Gaete; Franco Guidi-Polanco; Claudio Demartini

doi:10.1007/978-3-540-74782-6_71

Design of a multiagent solution for demand-responsive transportation

CLAUDIO ALONSO CUBILLOS FIGUEROA, Sandra Gaete, Franco Guidi-Polanco, Claudio Demartini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Mobility patterns in large cities has changed in the last decades making traditional fix-line public transportation no longer efficient to tackle the increasing complexity. Demand-responsive transportation leverages as an alternative where routes, departure times, vehicles and even operators, can be matched to the identified demand, allowing a more user-oriented and cost effective approach to service provision. In this context, the design of a multiagent system is presented following the agent-oriented software engineering methodology (AOSE) PASSI.

Original language	English
Title of host publication	AI IA 2007
Subtitle of host publication	Artificial Intelligence and Human-Oriented Computing - 10th Congress of the Italian Association for Artificial Intelligence, Proceedings
Publisher	Springer Verlag
Pages	797-804
Number of pages	8
ISBN (Print)	9783540747819
DOIs	https://doi.org/10.1007/978-3-540-74782-6_71
State	Published - 2007
Externally published	Yes
Event	10th Congress of the Italian Association for Artificial Intelligence, AI IA 2007 - Rome, Italy Duration: 10 Sep 2007 → 13 Sep 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4733 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th Congress of the Italian Association for Artificial Intelligence, AI IA 2007
Country	Italy
City	Rome
Period	10/09/07 → 13/09/07

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

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10.1007/978-3-540-74782-6_71

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CUBILLOS FIGUEROA, CLAUDIO. ALONSO., Gaete, S., Guidi-Polanco, F., & Demartini, C. (2007). Design of a multiagent solution for demand-responsive transportation. In AI IA 2007: Artificial Intelligence and Human-Oriented Computing - 10th Congress of the Italian Association for Artificial Intelligence, Proceedings (pp. 797-804). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4733 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-540-74782-6_71

CUBILLOS FIGUEROA, CLAUDIO ALONSO ; Gaete, Sandra ; Guidi-Polanco, Franco ; Demartini, Claudio. / Design of a multiagent solution for demand-responsive transportation. AI IA 2007: Artificial Intelligence and Human-Oriented Computing - 10th Congress of the Italian Association for Artificial Intelligence, Proceedings. Springer Verlag, 2007. pp. 797-804 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Design of a multiagent solution for demand-responsive transportation",

abstract = "Mobility patterns in large cities has changed in the last decades making traditional fix-line public transportation no longer efficient to tackle the increasing complexity. Demand-responsive transportation leverages as an alternative where routes, departure times, vehicles and even operators, can be matched to the identified demand, allowing a more user-oriented and cost effective approach to service provision. In this context, the design of a multiagent system is presented following the agent-oriented software engineering methodology (AOSE) PASSI.",

author = "{CUBILLOS FIGUEROA}, {CLAUDIO ALONSO} and Sandra Gaete and Franco Guidi-Polanco and Claudio Demartini",

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CUBILLOS FIGUEROA, CLAUDIOALONSO, Gaete, S, Guidi-Polanco, F & Demartini, C 2007, Design of a multiagent solution for demand-responsive transportation. in AI IA 2007: Artificial Intelligence and Human-Oriented Computing - 10th Congress of the Italian Association for Artificial Intelligence, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4733 LNAI, Springer Verlag, pp. 797-804, 10th Congress of the Italian Association for Artificial Intelligence, AI IA 2007, Rome, Italy, 10/09/07. https://doi.org/10.1007/978-3-540-74782-6_71

Design of a multiagent solution for demand-responsive transportation. / CUBILLOS FIGUEROA, CLAUDIO ALONSO; Gaete, Sandra; Guidi-Polanco, Franco; Demartini, Claudio.

AI IA 2007: Artificial Intelligence and Human-Oriented Computing - 10th Congress of the Italian Association for Artificial Intelligence, Proceedings. Springer Verlag, 2007. p. 797-804 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4733 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Mobility patterns in large cities has changed in the last decades making traditional fix-line public transportation no longer efficient to tackle the increasing complexity. Demand-responsive transportation leverages as an alternative where routes, departure times, vehicles and even operators, can be matched to the identified demand, allowing a more user-oriented and cost effective approach to service provision. In this context, the design of a multiagent system is presented following the agent-oriented software engineering methodology (AOSE) PASSI.

AB - Mobility patterns in large cities has changed in the last decades making traditional fix-line public transportation no longer efficient to tackle the increasing complexity. Demand-responsive transportation leverages as an alternative where routes, departure times, vehicles and even operators, can be matched to the identified demand, allowing a more user-oriented and cost effective approach to service provision. In this context, the design of a multiagent system is presented following the agent-oriented software engineering methodology (AOSE) PASSI.

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DO - 10.1007/978-3-540-74782-6_71

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SN - 9783540747819

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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CUBILLOS FIGUEROA CLAUDIOALONSO, Gaete S, Guidi-Polanco F, Demartini C. Design of a multiagent solution for demand-responsive transportation. In AI IA 2007: Artificial Intelligence and Human-Oriented Computing - 10th Congress of the Italian Association for Artificial Intelligence, Proceedings. Springer Verlag. 2007. p. 797-804. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-74782-6_71

Design of a multiagent solution for demand-responsive transportation

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UN SDGs

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