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http://hdl.handle.net/1942/39572
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DC Field | Value | Language |
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dc.contributor.author | Zhao, H | - |
dc.contributor.author | Galland, S | - |
dc.contributor.author | KNAPEN, Luk | - |
dc.contributor.author | BELLEMANS, Tom | - |
dc.contributor.author | YASAR, Ansar | - |
dc.date.accessioned | 2023-02-21T14:53:23Z | - |
dc.date.available | 2023-02-21T14:53:23Z | - |
dc.date.issued | 2018 | - |
dc.date.submitted | 2023-02-21T08:57:17Z | - |
dc.identifier.citation | 9TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2018) / THE 8TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2018) / AFFILIATED WORKSHOPS, ELSEVIER SCIENCE BV, p. 979 -984 | - |
dc.identifier.issn | 1877-0509 | - |
dc.identifier.uri | http://hdl.handle.net/1942/39572 | - |
dc.description.abstract | When simulating individuals' daily plan, lots of unexpected events need to be considered, like traffic jam and weather changes. Therefore, there will be a mismatch between the original plan and the executed one. Faced with this situation, individuals need to adjust the rest of the activities to make a new schedule. This paper analyzes the causes of rescheduling, and establishes a new rescheduling model, combining strengths of existing rescheduling models. The model in this paper considers the rescheduling possibilities and choices as much as possible. It takes time pressure and schedule similarity into consideration when updating a schedule. Furthermore, this paper analyzes joint trip/activity execution by studying the cooperation between agents during the rescheduling process. (C) 2018 The Authors. Published by Elsevier B.V. | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.relation.ispartofseries | Procedia Computer Science | - |
dc.subject.other | Daily Activity Schedule | - |
dc.subject.other | Rescheduling | - |
dc.subject.other | Agent-based Model | - |
dc.subject.other | Coordination | - |
dc.subject.other | Travel Demand Prediction | - |
dc.title | Agent-based Dynamic Rescheduling of Daily Activities | - |
dc.type | Proceedings Paper | - |
dc.identifier.epage | 984 | - |
dc.identifier.spage | 979 | - |
local.bibliographicCitation.jcat | C1 | - |
local.publisher.place | SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.relation.ispartofseriesnr | 130 | - |
dc.identifier.doi | 10.1016/j.procs.2018.04.100 | - |
dc.identifier.isi | 000684379100129 | - |
dc.identifier.eissn | - | |
local.provider.type | Web of Science | - |
local.bibliographicCitation.btitle | 9TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2018) / THE 8TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2018) / AFFILIATED WORKSHOPS | - |
local.uhasselt.international | yes | - |
item.validation | ecoom 2022 | - |
item.fullcitation | Zhao, H; Galland, S; KNAPEN, Luk; BELLEMANS, Tom & YASAR, Ansar (2018) Agent-based Dynamic Rescheduling of Daily Activities. In: 9TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2018) / THE 8TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2018) / AFFILIATED WORKSHOPS, ELSEVIER SCIENCE BV, p. 979 -984. | - |
item.contributor | Zhao, H | - |
item.contributor | Galland, S | - |
item.contributor | KNAPEN, Luk | - |
item.contributor | BELLEMANS, Tom | - |
item.contributor | YASAR, Ansar | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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1-s2.0-S1877050918304629-main.pdf | Published version | 302.04 kB | Adobe PDF | View/Open |
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