The design of a flexible bus line plan

A conventional bus service has a line plan that consists of a set of lines with fixed routes designed to operate under normal conditions. Thus, the performance of the service depends on how stable those conditions are. This paper extends the traditional concept of a line plan to provide a high-quali...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Avila-Ordóñez, Elina [verfasserIn] Tampère, Chris M.J. [verfasserIn] Vanegas Peralta, Pablo [verfasserIn] Vansteenwegen, Pieter [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Flexible line plan Line planning problem Alternative lines Genetic algorithms

Übergeordnetes Werk:	Enthalten in: Expert systems with applications - Amsterdam [u.a.] : Elsevier Science, 1990, 203
Übergeordnetes Werk:	volume:203

DOI / URN:	10.1016/j.eswa.2022.117352

Katalog-ID:	ELV058074996

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allfields	10.1016/j.eswa.2022.117352 doi (DE-627)ELV058074996 (ELSEVIER)S0957-4174(22)00706-0 DE-627 ger DE-627 rda eng 004 VZ 54.72 bkl Avila-Ordóñez, Elina verfasserin aut The design of a flexible bus line plan 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A conventional bus service has a line plan that consists of a set of lines with fixed routes designed to operate under normal conditions. Thus, the performance of the service depends on how stable those conditions are. This paper extends the traditional concept of a line plan to provide a high-quality service, even in case of announced events. We introduce the concept of a Flexible Line Plan where some of the usual lines are replaced with alternative lines that improve the service when the conditions change. Adaptations should only be made to a subset of the lines, ensuring that the changes minimize the inconvenience for the regular passengers and, at the same time, improve the total travel time. In this study, we present a heuristic called Alternative Line Heuristic (ALH), based on Genetic Algorithms, which automatically designs these alternative lines in a three-step process. The results of this approach are tested on both benchmark and real-sized networks and clearly show how our approach contributes to improving the bus service performance. Flexible line plan Line planning problem Alternative lines Genetic algorithms Tampère, Chris M.J. verfasserin aut Vanegas Peralta, Pablo verfasserin aut Vansteenwegen, Pieter verfasserin aut Enthalten in Expert systems with applications Amsterdam [u.a.] : Elsevier Science, 1990 203 Online-Ressource (DE-627)320577961 (DE-600)2017237-0 (DE-576)11481807X nnns volume:203 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.72 Künstliche Intelligenz VZ AR 203
spelling	10.1016/j.eswa.2022.117352 doi (DE-627)ELV058074996 (ELSEVIER)S0957-4174(22)00706-0 DE-627 ger DE-627 rda eng 004 VZ 54.72 bkl Avila-Ordóñez, Elina verfasserin aut The design of a flexible bus line plan 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A conventional bus service has a line plan that consists of a set of lines with fixed routes designed to operate under normal conditions. Thus, the performance of the service depends on how stable those conditions are. This paper extends the traditional concept of a line plan to provide a high-quality service, even in case of announced events. We introduce the concept of a Flexible Line Plan where some of the usual lines are replaced with alternative lines that improve the service when the conditions change. Adaptations should only be made to a subset of the lines, ensuring that the changes minimize the inconvenience for the regular passengers and, at the same time, improve the total travel time. In this study, we present a heuristic called Alternative Line Heuristic (ALH), based on Genetic Algorithms, which automatically designs these alternative lines in a three-step process. The results of this approach are tested on both benchmark and real-sized networks and clearly show how our approach contributes to improving the bus service performance. Flexible line plan Line planning problem Alternative lines Genetic algorithms Tampère, Chris M.J. verfasserin aut Vanegas Peralta, Pablo verfasserin aut Vansteenwegen, Pieter verfasserin aut Enthalten in Expert systems with applications Amsterdam [u.a.] : Elsevier Science, 1990 203 Online-Ressource (DE-627)320577961 (DE-600)2017237-0 (DE-576)11481807X nnns volume:203 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.72 Künstliche Intelligenz VZ AR 203
allfields_unstemmed	10.1016/j.eswa.2022.117352 doi (DE-627)ELV058074996 (ELSEVIER)S0957-4174(22)00706-0 DE-627 ger DE-627 rda eng 004 VZ 54.72 bkl Avila-Ordóñez, Elina verfasserin aut The design of a flexible bus line plan 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A conventional bus service has a line plan that consists of a set of lines with fixed routes designed to operate under normal conditions. Thus, the performance of the service depends on how stable those conditions are. This paper extends the traditional concept of a line plan to provide a high-quality service, even in case of announced events. We introduce the concept of a Flexible Line Plan where some of the usual lines are replaced with alternative lines that improve the service when the conditions change. Adaptations should only be made to a subset of the lines, ensuring that the changes minimize the inconvenience for the regular passengers and, at the same time, improve the total travel time. In this study, we present a heuristic called Alternative Line Heuristic (ALH), based on Genetic Algorithms, which automatically designs these alternative lines in a three-step process. The results of this approach are tested on both benchmark and real-sized networks and clearly show how our approach contributes to improving the bus service performance. Flexible line plan Line planning problem Alternative lines Genetic algorithms Tampère, Chris M.J. verfasserin aut Vanegas Peralta, Pablo verfasserin aut Vansteenwegen, Pieter verfasserin aut Enthalten in Expert systems with applications Amsterdam [u.a.] : Elsevier Science, 1990 203 Online-Ressource (DE-627)320577961 (DE-600)2017237-0 (DE-576)11481807X nnns volume:203 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.72 Künstliche Intelligenz VZ AR 203
allfieldsGer	10.1016/j.eswa.2022.117352 doi (DE-627)ELV058074996 (ELSEVIER)S0957-4174(22)00706-0 DE-627 ger DE-627 rda eng 004 VZ 54.72 bkl Avila-Ordóñez, Elina verfasserin aut The design of a flexible bus line plan 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A conventional bus service has a line plan that consists of a set of lines with fixed routes designed to operate under normal conditions. Thus, the performance of the service depends on how stable those conditions are. This paper extends the traditional concept of a line plan to provide a high-quality service, even in case of announced events. We introduce the concept of a Flexible Line Plan where some of the usual lines are replaced with alternative lines that improve the service when the conditions change. Adaptations should only be made to a subset of the lines, ensuring that the changes minimize the inconvenience for the regular passengers and, at the same time, improve the total travel time. In this study, we present a heuristic called Alternative Line Heuristic (ALH), based on Genetic Algorithms, which automatically designs these alternative lines in a three-step process. The results of this approach are tested on both benchmark and real-sized networks and clearly show how our approach contributes to improving the bus service performance. Flexible line plan Line planning problem Alternative lines Genetic algorithms Tampère, Chris M.J. verfasserin aut Vanegas Peralta, Pablo verfasserin aut Vansteenwegen, Pieter verfasserin aut Enthalten in Expert systems with applications Amsterdam [u.a.] : Elsevier Science, 1990 203 Online-Ressource (DE-627)320577961 (DE-600)2017237-0 (DE-576)11481807X nnns volume:203 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.72 Künstliche Intelligenz VZ AR 203
allfieldsSound	10.1016/j.eswa.2022.117352 doi (DE-627)ELV058074996 (ELSEVIER)S0957-4174(22)00706-0 DE-627 ger DE-627 rda eng 004 VZ 54.72 bkl Avila-Ordóñez, Elina verfasserin aut The design of a flexible bus line plan 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A conventional bus service has a line plan that consists of a set of lines with fixed routes designed to operate under normal conditions. Thus, the performance of the service depends on how stable those conditions are. This paper extends the traditional concept of a line plan to provide a high-quality service, even in case of announced events. We introduce the concept of a Flexible Line Plan where some of the usual lines are replaced with alternative lines that improve the service when the conditions change. Adaptations should only be made to a subset of the lines, ensuring that the changes minimize the inconvenience for the regular passengers and, at the same time, improve the total travel time. In this study, we present a heuristic called Alternative Line Heuristic (ALH), based on Genetic Algorithms, which automatically designs these alternative lines in a three-step process. The results of this approach are tested on both benchmark and real-sized networks and clearly show how our approach contributes to improving the bus service performance. Flexible line plan Line planning problem Alternative lines Genetic algorithms Tampère, Chris M.J. verfasserin aut Vanegas Peralta, Pablo verfasserin aut Vansteenwegen, Pieter verfasserin aut Enthalten in Expert systems with applications Amsterdam [u.a.] : Elsevier Science, 1990 203 Online-Ressource (DE-627)320577961 (DE-600)2017237-0 (DE-576)11481807X nnns volume:203 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.72 Künstliche Intelligenz VZ AR 203
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authorswithroles_txt_mv	Avila-Ordóñez, Elina @@aut@@ Tampère, Chris M.J. @@aut@@ Vanegas Peralta, Pablo @@aut@@ Vansteenwegen, Pieter @@aut@@
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author	Avila-Ordóñez, Elina
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title	The design of a flexible bus line plan
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title_sort	the design of a flexible bus line plan
title_auth	The design of a flexible bus line plan
abstract	A conventional bus service has a line plan that consists of a set of lines with fixed routes designed to operate under normal conditions. Thus, the performance of the service depends on how stable those conditions are. This paper extends the traditional concept of a line plan to provide a high-quality service, even in case of announced events. We introduce the concept of a Flexible Line Plan where some of the usual lines are replaced with alternative lines that improve the service when the conditions change. Adaptations should only be made to a subset of the lines, ensuring that the changes minimize the inconvenience for the regular passengers and, at the same time, improve the total travel time. In this study, we present a heuristic called Alternative Line Heuristic (ALH), based on Genetic Algorithms, which automatically designs these alternative lines in a three-step process. The results of this approach are tested on both benchmark and real-sized networks and clearly show how our approach contributes to improving the bus service performance.
abstractGer	A conventional bus service has a line plan that consists of a set of lines with fixed routes designed to operate under normal conditions. Thus, the performance of the service depends on how stable those conditions are. This paper extends the traditional concept of a line plan to provide a high-quality service, even in case of announced events. We introduce the concept of a Flexible Line Plan where some of the usual lines are replaced with alternative lines that improve the service when the conditions change. Adaptations should only be made to a subset of the lines, ensuring that the changes minimize the inconvenience for the regular passengers and, at the same time, improve the total travel time. In this study, we present a heuristic called Alternative Line Heuristic (ALH), based on Genetic Algorithms, which automatically designs these alternative lines in a three-step process. The results of this approach are tested on both benchmark and real-sized networks and clearly show how our approach contributes to improving the bus service performance.
abstract_unstemmed	A conventional bus service has a line plan that consists of a set of lines with fixed routes designed to operate under normal conditions. Thus, the performance of the service depends on how stable those conditions are. This paper extends the traditional concept of a line plan to provide a high-quality service, even in case of announced events. We introduce the concept of a Flexible Line Plan where some of the usual lines are replaced with alternative lines that improve the service when the conditions change. Adaptations should only be made to a subset of the lines, ensuring that the changes minimize the inconvenience for the regular passengers and, at the same time, improve the total travel time. In this study, we present a heuristic called Alternative Line Heuristic (ALH), based on Genetic Algorithms, which automatically designs these alternative lines in a three-step process. The results of this approach are tested on both benchmark and real-sized networks and clearly show how our approach contributes to improving the bus service performance.
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title_short	The design of a flexible bus line plan
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author2	Tampère, Chris M.J. Vanegas Peralta, Pablo Vansteenwegen, Pieter
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doi_str	10.1016/j.eswa.2022.117352
up_date	2024-07-06T17:59:30.060Z
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Thus, the performance of the service depends on how stable those conditions are. This paper extends the traditional concept of a line plan to provide a high-quality service, even in case of announced events. We introduce the concept of a Flexible Line Plan where some of the usual lines are replaced with alternative lines that improve the service when the conditions change. Adaptations should only be made to a subset of the lines, ensuring that the changes minimize the inconvenience for the regular passengers and, at the same time, improve the total travel time. In this study, we present a heuristic called Alternative Line Heuristic (ALH), based on Genetic Algorithms, which automatically designs these alternative lines in a three-step process. 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The design of a flexible bus line plan

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