Incorporating temporal and spatial dependencies in a stochastic time-dependent multi-state supernetwork for individual activity-travel scheduling

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademic

Uittreksel

Multi-state supernetworks have been expanded in space and time for modeling individual activity-travel scheduling (ATS) behavior. Any path in a time-expanded supernetwork represents an activity-travel pattern (ATP) at a high level of detail. To alleviate the limitation of a deterministic network representation, time uncertainty has been incorporated in multi-state supernetworks. However, the extension unrealistically assumed that all uncertain travel times are time-invariant and spatially independent. In this study, temporal and spatial dependencies among uncertain link travel times are considered in a stochastic time-dependent (STD) context using uncertain support points. ATS under uncertainty is formulated as a path finding problem in a stochastic multi-state supernetwork, given the individual’s decision rule, which for illustrative purposes is assumed to be the minimization of expected disutility in this paper. Recursive dynamic programming is applied to find the non-dominated paths, subject to time window constraints at the activity locations.
TaalEngels
TitelMoving Towards More Sustainable Mobility And Transport Through Smart Systems
SubtitelProceedings of the BIVEC-GIBET Transport Research Days 2019
Pagina's256-268
Aantal pagina's13
StatusGepubliceerd - 2019
EvenementBIVEC-GIBET Transport Research Days 2019 - Ghent, België
Duur: 23 mei 201924 mei 2019

Congres

CongresBIVEC-GIBET Transport Research Days 2019
LandBelgië
StadGhent
Periode23/05/1924/05/19

Vingerafdruk

Travel time
Scheduling
Dynamic programming
Uncertainty

Citeer dit

Lyu, J., Liao, F., Rasouli, S., & Timmermans, H. (2019). Incorporating temporal and spatial dependencies in a stochastic time-dependent multi-state supernetwork for individual activity-travel scheduling. In Moving Towards More Sustainable Mobility And Transport Through Smart Systems: Proceedings of the BIVEC-GIBET Transport Research Days 2019 (blz. 256-268)
Lyu, Jing ; Liao, Feixiong ; Rasouli, Soora ; Timmermans, Harry. / Incorporating temporal and spatial dependencies in a stochastic time-dependent multi-state supernetwork for individual activity-travel scheduling. Moving Towards More Sustainable Mobility And Transport Through Smart Systems: Proceedings of the BIVEC-GIBET Transport Research Days 2019. 2019. blz. 256-268
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title = "Incorporating temporal and spatial dependencies in a stochastic time-dependent multi-state supernetwork for individual activity-travel scheduling",
abstract = "Multi-state supernetworks have been expanded in space and time for modeling individual activity-travel scheduling (ATS) behavior. Any path in a time-expanded supernetwork represents an activity-travel pattern (ATP) at a high level of detail. To alleviate the limitation of a deterministic network representation, time uncertainty has been incorporated in multi-state supernetworks. However, the extension unrealistically assumed that all uncertain travel times are time-invariant and spatially independent. In this study, temporal and spatial dependencies among uncertain link travel times are considered in a stochastic time-dependent (STD) context using uncertain support points. ATS under uncertainty is formulated as a path finding problem in a stochastic multi-state supernetwork, given the individual’s decision rule, which for illustrative purposes is assumed to be the minimization of expected disutility in this paper. Recursive dynamic programming is applied to find the non-dominated paths, subject to time window constraints at the activity locations.",
author = "Jing Lyu and Feixiong Liao and Soora Rasouli and Harry Timmermans",
year = "2019",
language = "English",
pages = "256--268",
booktitle = "Moving Towards More Sustainable Mobility And Transport Through Smart Systems",

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Lyu, J, Liao, F, Rasouli, S & Timmermans, H 2019, Incorporating temporal and spatial dependencies in a stochastic time-dependent multi-state supernetwork for individual activity-travel scheduling. in Moving Towards More Sustainable Mobility And Transport Through Smart Systems: Proceedings of the BIVEC-GIBET Transport Research Days 2019. blz. 256-268, Ghent, België, 23/05/19.

Incorporating temporal and spatial dependencies in a stochastic time-dependent multi-state supernetwork for individual activity-travel scheduling. / Lyu, Jing; Liao, Feixiong; Rasouli, Soora; Timmermans, Harry.

Moving Towards More Sustainable Mobility And Transport Through Smart Systems: Proceedings of the BIVEC-GIBET Transport Research Days 2019. 2019. blz. 256-268.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademic

TY - GEN

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AU - Timmermans,Harry

PY - 2019

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N2 - Multi-state supernetworks have been expanded in space and time for modeling individual activity-travel scheduling (ATS) behavior. Any path in a time-expanded supernetwork represents an activity-travel pattern (ATP) at a high level of detail. To alleviate the limitation of a deterministic network representation, time uncertainty has been incorporated in multi-state supernetworks. However, the extension unrealistically assumed that all uncertain travel times are time-invariant and spatially independent. In this study, temporal and spatial dependencies among uncertain link travel times are considered in a stochastic time-dependent (STD) context using uncertain support points. ATS under uncertainty is formulated as a path finding problem in a stochastic multi-state supernetwork, given the individual’s decision rule, which for illustrative purposes is assumed to be the minimization of expected disutility in this paper. Recursive dynamic programming is applied to find the non-dominated paths, subject to time window constraints at the activity locations.

AB - Multi-state supernetworks have been expanded in space and time for modeling individual activity-travel scheduling (ATS) behavior. Any path in a time-expanded supernetwork represents an activity-travel pattern (ATP) at a high level of detail. To alleviate the limitation of a deterministic network representation, time uncertainty has been incorporated in multi-state supernetworks. However, the extension unrealistically assumed that all uncertain travel times are time-invariant and spatially independent. In this study, temporal and spatial dependencies among uncertain link travel times are considered in a stochastic time-dependent (STD) context using uncertain support points. ATS under uncertainty is formulated as a path finding problem in a stochastic multi-state supernetwork, given the individual’s decision rule, which for illustrative purposes is assumed to be the minimization of expected disutility in this paper. Recursive dynamic programming is applied to find the non-dominated paths, subject to time window constraints at the activity locations.

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Lyu J, Liao F, Rasouli S, Timmermans H. Incorporating temporal and spatial dependencies in a stochastic time-dependent multi-state supernetwork for individual activity-travel scheduling. In Moving Towards More Sustainable Mobility And Transport Through Smart Systems: Proceedings of the BIVEC-GIBET Transport Research Days 2019. 2019. blz. 256-268.