Design of a multiagent solution for demand-responsive transportation

Claudio Cubillos; 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 Cubillos, 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/Territory	Italy
City	Rome
Period	10/09/07 → 13/09/07

Access to Document

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

Cite this

Cubillos, C., 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, Claudio ; 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)).

@inproceedings{ec07ea45a90242cc81caeb7acc638942,

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 = "Claudio Cubillos and Sandra Gaete and Franco Guidi-Polanco and Claudio Demartini",

year = "2007",

doi = "10.1007/978-3-540-74782-6_71",

language = "English",

isbn = "9783540747819",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "797--804",

booktitle = "AI IA 2007",

note = "null ; Conference date: 10-09-2007 Through 13-09-2007",

}

Cubillos, C, 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, Claudio; 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

TY - GEN

T1 - Design of a multiagent solution for demand-responsive transportation

AU - Cubillos, Claudio

AU - Gaete, Sandra

AU - Guidi-Polanco, Franco

AU - Demartini, Claudio

PY - 2007

Y1 - 2007

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.

UR - http://www.scopus.com/inward/record.url?scp=38049118071&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-74782-6_71

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

M3 - Conference contribution

AN - SCOPUS:38049118071

SN - 9783540747819

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

SP - 797

EP - 804

BT - AI IA 2007

PB - Springer Verlag

Y2 - 10 September 2007 through 13 September 2007

ER -

Cubillos C, 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

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this