Scenario-Based Emergency Material Scheduling Using V2X Communications

Vehicle-to-everything (V2X) communications can be applied in emergency material scheduling due to their performance in collecting and transmitting disaster-related data in real time. The urgency of disaster depots can be judged based on the disaster area video, and the scenario coefficient can be ev...
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Autor*in:	Hui Hu [verfasserIn] Keqi Chen [verfasserIn] Jing He [verfasserIn] Yunna Zhang [verfasserIn] Jiehan Zhou [verfasserIn] Yi Han [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	emergency scheduling vehicle-to-everything optimization intelligent vehicle

Übergeordnetes Werk:	In: Electronics - MDPI AG, 2013, 8(2019), 6, p 707
Übergeordnetes Werk:	volume:8 ; year:2019 ; number:6, p 707

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/electronics8060707

Katalog-ID:	DOAJ030616425

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520			\|a Vehicle-to-everything (V2X) communications can be applied in emergency material scheduling due to their performance in collecting and transmitting disaster-related data in real time. The urgency of disaster depots can be judged based on the disaster area video, and the scenario coefficient can be evaluated for building a fairness model. This paper presents a scenario-based approach for emergency material scheduling (SEMS) using V2X communications. We propose a SEMS model, with the objectives of minimum time and maximum fairness in the cases of multiple supply depots, disaster depots, commodities and transport modes for logistics management of relief commodities. We design the SEMS algorithm based on the artificial fish-swarm algorithm to obtain an optimized solution. The results demonstrate that the SEMS model can enhance the fairness of relief scheduling, especially for disaster depots with small demands compared to the Gini and enhanced Theil fairness models. Moreover, the acquired vehicle speed via V2X communications updates the SEMS model in real time, which approaches a solution closer to reality.
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allfields	10.3390/electronics8060707 doi (DE-627)DOAJ030616425 (DE-599)DOAJ8bc2b038053e43e8bfbedac718ae3194 DE-627 ger DE-627 rakwb eng TK7800-8360 Hui Hu verfasserin aut Scenario-Based Emergency Material Scheduling Using V2X Communications 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Vehicle-to-everything (V2X) communications can be applied in emergency material scheduling due to their performance in collecting and transmitting disaster-related data in real time. The urgency of disaster depots can be judged based on the disaster area video, and the scenario coefficient can be evaluated for building a fairness model. This paper presents a scenario-based approach for emergency material scheduling (SEMS) using V2X communications. We propose a SEMS model, with the objectives of minimum time and maximum fairness in the cases of multiple supply depots, disaster depots, commodities and transport modes for logistics management of relief commodities. We design the SEMS algorithm based on the artificial fish-swarm algorithm to obtain an optimized solution. The results demonstrate that the SEMS model can enhance the fairness of relief scheduling, especially for disaster depots with small demands compared to the Gini and enhanced Theil fairness models. Moreover, the acquired vehicle speed via V2X communications updates the SEMS model in real time, which approaches a solution closer to reality. emergency scheduling vehicle-to-everything optimization intelligent vehicle Electronics Keqi Chen verfasserin aut Jing He verfasserin aut Yunna Zhang verfasserin aut Jiehan Zhou verfasserin aut Yi Han verfasserin aut In Electronics MDPI AG, 2013 8(2019), 6, p 707 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:8 year:2019 number:6, p 707 https://doi.org/10.3390/electronics8060707 kostenfrei https://doaj.org/article/8bc2b038053e43e8bfbedac718ae3194 kostenfrei https://www.mdpi.com/2079-9292/8/6/707 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2019 6, p 707
spelling	10.3390/electronics8060707 doi (DE-627)DOAJ030616425 (DE-599)DOAJ8bc2b038053e43e8bfbedac718ae3194 DE-627 ger DE-627 rakwb eng TK7800-8360 Hui Hu verfasserin aut Scenario-Based Emergency Material Scheduling Using V2X Communications 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Vehicle-to-everything (V2X) communications can be applied in emergency material scheduling due to their performance in collecting and transmitting disaster-related data in real time. The urgency of disaster depots can be judged based on the disaster area video, and the scenario coefficient can be evaluated for building a fairness model. This paper presents a scenario-based approach for emergency material scheduling (SEMS) using V2X communications. We propose a SEMS model, with the objectives of minimum time and maximum fairness in the cases of multiple supply depots, disaster depots, commodities and transport modes for logistics management of relief commodities. We design the SEMS algorithm based on the artificial fish-swarm algorithm to obtain an optimized solution. The results demonstrate that the SEMS model can enhance the fairness of relief scheduling, especially for disaster depots with small demands compared to the Gini and enhanced Theil fairness models. Moreover, the acquired vehicle speed via V2X communications updates the SEMS model in real time, which approaches a solution closer to reality. emergency scheduling vehicle-to-everything optimization intelligent vehicle Electronics Keqi Chen verfasserin aut Jing He verfasserin aut Yunna Zhang verfasserin aut Jiehan Zhou verfasserin aut Yi Han verfasserin aut In Electronics MDPI AG, 2013 8(2019), 6, p 707 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:8 year:2019 number:6, p 707 https://doi.org/10.3390/electronics8060707 kostenfrei https://doaj.org/article/8bc2b038053e43e8bfbedac718ae3194 kostenfrei https://www.mdpi.com/2079-9292/8/6/707 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2019 6, p 707
allfields_unstemmed	10.3390/electronics8060707 doi (DE-627)DOAJ030616425 (DE-599)DOAJ8bc2b038053e43e8bfbedac718ae3194 DE-627 ger DE-627 rakwb eng TK7800-8360 Hui Hu verfasserin aut Scenario-Based Emergency Material Scheduling Using V2X Communications 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Vehicle-to-everything (V2X) communications can be applied in emergency material scheduling due to their performance in collecting and transmitting disaster-related data in real time. The urgency of disaster depots can be judged based on the disaster area video, and the scenario coefficient can be evaluated for building a fairness model. This paper presents a scenario-based approach for emergency material scheduling (SEMS) using V2X communications. We propose a SEMS model, with the objectives of minimum time and maximum fairness in the cases of multiple supply depots, disaster depots, commodities and transport modes for logistics management of relief commodities. We design the SEMS algorithm based on the artificial fish-swarm algorithm to obtain an optimized solution. The results demonstrate that the SEMS model can enhance the fairness of relief scheduling, especially for disaster depots with small demands compared to the Gini and enhanced Theil fairness models. Moreover, the acquired vehicle speed via V2X communications updates the SEMS model in real time, which approaches a solution closer to reality. emergency scheduling vehicle-to-everything optimization intelligent vehicle Electronics Keqi Chen verfasserin aut Jing He verfasserin aut Yunna Zhang verfasserin aut Jiehan Zhou verfasserin aut Yi Han verfasserin aut In Electronics MDPI AG, 2013 8(2019), 6, p 707 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:8 year:2019 number:6, p 707 https://doi.org/10.3390/electronics8060707 kostenfrei https://doaj.org/article/8bc2b038053e43e8bfbedac718ae3194 kostenfrei https://www.mdpi.com/2079-9292/8/6/707 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2019 6, p 707
allfieldsGer	10.3390/electronics8060707 doi (DE-627)DOAJ030616425 (DE-599)DOAJ8bc2b038053e43e8bfbedac718ae3194 DE-627 ger DE-627 rakwb eng TK7800-8360 Hui Hu verfasserin aut Scenario-Based Emergency Material Scheduling Using V2X Communications 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Vehicle-to-everything (V2X) communications can be applied in emergency material scheduling due to their performance in collecting and transmitting disaster-related data in real time. The urgency of disaster depots can be judged based on the disaster area video, and the scenario coefficient can be evaluated for building a fairness model. This paper presents a scenario-based approach for emergency material scheduling (SEMS) using V2X communications. We propose a SEMS model, with the objectives of minimum time and maximum fairness in the cases of multiple supply depots, disaster depots, commodities and transport modes for logistics management of relief commodities. We design the SEMS algorithm based on the artificial fish-swarm algorithm to obtain an optimized solution. The results demonstrate that the SEMS model can enhance the fairness of relief scheduling, especially for disaster depots with small demands compared to the Gini and enhanced Theil fairness models. Moreover, the acquired vehicle speed via V2X communications updates the SEMS model in real time, which approaches a solution closer to reality. emergency scheduling vehicle-to-everything optimization intelligent vehicle Electronics Keqi Chen verfasserin aut Jing He verfasserin aut Yunna Zhang verfasserin aut Jiehan Zhou verfasserin aut Yi Han verfasserin aut In Electronics MDPI AG, 2013 8(2019), 6, p 707 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:8 year:2019 number:6, p 707 https://doi.org/10.3390/electronics8060707 kostenfrei https://doaj.org/article/8bc2b038053e43e8bfbedac718ae3194 kostenfrei https://www.mdpi.com/2079-9292/8/6/707 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2019 6, p 707
allfieldsSound	10.3390/electronics8060707 doi (DE-627)DOAJ030616425 (DE-599)DOAJ8bc2b038053e43e8bfbedac718ae3194 DE-627 ger DE-627 rakwb eng TK7800-8360 Hui Hu verfasserin aut Scenario-Based Emergency Material Scheduling Using V2X Communications 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Vehicle-to-everything (V2X) communications can be applied in emergency material scheduling due to their performance in collecting and transmitting disaster-related data in real time. The urgency of disaster depots can be judged based on the disaster area video, and the scenario coefficient can be evaluated for building a fairness model. This paper presents a scenario-based approach for emergency material scheduling (SEMS) using V2X communications. We propose a SEMS model, with the objectives of minimum time and maximum fairness in the cases of multiple supply depots, disaster depots, commodities and transport modes for logistics management of relief commodities. We design the SEMS algorithm based on the artificial fish-swarm algorithm to obtain an optimized solution. The results demonstrate that the SEMS model can enhance the fairness of relief scheduling, especially for disaster depots with small demands compared to the Gini and enhanced Theil fairness models. Moreover, the acquired vehicle speed via V2X communications updates the SEMS model in real time, which approaches a solution closer to reality. emergency scheduling vehicle-to-everything optimization intelligent vehicle Electronics Keqi Chen verfasserin aut Jing He verfasserin aut Yunna Zhang verfasserin aut Jiehan Zhou verfasserin aut Yi Han verfasserin aut In Electronics MDPI AG, 2013 8(2019), 6, p 707 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:8 year:2019 number:6, p 707 https://doi.org/10.3390/electronics8060707 kostenfrei https://doaj.org/article/8bc2b038053e43e8bfbedac718ae3194 kostenfrei https://www.mdpi.com/2079-9292/8/6/707 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2019 6, p 707
language	English
source	In Electronics 8(2019), 6, p 707 volume:8 year:2019 number:6, p 707
sourceStr	In Electronics 8(2019), 6, p 707 volume:8 year:2019 number:6, p 707
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institution	findex.gbv.de
topic_facet	emergency scheduling vehicle-to-everything optimization intelligent vehicle Electronics
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authorswithroles_txt_mv	Hui Hu @@aut@@ Keqi Chen @@aut@@ Jing He @@aut@@ Yunna Zhang @@aut@@ Jiehan Zhou @@aut@@ Yi Han @@aut@@
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callnumber-first	T - Technology
author	Hui Hu
spellingShingle	Hui Hu misc TK7800-8360 misc emergency misc scheduling misc vehicle-to-everything misc optimization misc intelligent vehicle misc Electronics Scenario-Based Emergency Material Scheduling Using V2X Communications
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topic_title	TK7800-8360 Scenario-Based Emergency Material Scheduling Using V2X Communications emergency scheduling vehicle-to-everything optimization intelligent vehicle
topic	misc TK7800-8360 misc emergency misc scheduling misc vehicle-to-everything misc optimization misc intelligent vehicle misc Electronics
topic_unstemmed	misc TK7800-8360 misc emergency misc scheduling misc vehicle-to-everything misc optimization misc intelligent vehicle misc Electronics
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title	Scenario-Based Emergency Material Scheduling Using V2X Communications
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title_full	Scenario-Based Emergency Material Scheduling Using V2X Communications
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title_sort	scenario-based emergency material scheduling using v2x communications
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title_auth	Scenario-Based Emergency Material Scheduling Using V2X Communications
abstract	Vehicle-to-everything (V2X) communications can be applied in emergency material scheduling due to their performance in collecting and transmitting disaster-related data in real time. The urgency of disaster depots can be judged based on the disaster area video, and the scenario coefficient can be evaluated for building a fairness model. This paper presents a scenario-based approach for emergency material scheduling (SEMS) using V2X communications. We propose a SEMS model, with the objectives of minimum time and maximum fairness in the cases of multiple supply depots, disaster depots, commodities and transport modes for logistics management of relief commodities. We design the SEMS algorithm based on the artificial fish-swarm algorithm to obtain an optimized solution. The results demonstrate that the SEMS model can enhance the fairness of relief scheduling, especially for disaster depots with small demands compared to the Gini and enhanced Theil fairness models. Moreover, the acquired vehicle speed via V2X communications updates the SEMS model in real time, which approaches a solution closer to reality.
abstractGer	Vehicle-to-everything (V2X) communications can be applied in emergency material scheduling due to their performance in collecting and transmitting disaster-related data in real time. The urgency of disaster depots can be judged based on the disaster area video, and the scenario coefficient can be evaluated for building a fairness model. This paper presents a scenario-based approach for emergency material scheduling (SEMS) using V2X communications. We propose a SEMS model, with the objectives of minimum time and maximum fairness in the cases of multiple supply depots, disaster depots, commodities and transport modes for logistics management of relief commodities. We design the SEMS algorithm based on the artificial fish-swarm algorithm to obtain an optimized solution. The results demonstrate that the SEMS model can enhance the fairness of relief scheduling, especially for disaster depots with small demands compared to the Gini and enhanced Theil fairness models. Moreover, the acquired vehicle speed via V2X communications updates the SEMS model in real time, which approaches a solution closer to reality.
abstract_unstemmed	Vehicle-to-everything (V2X) communications can be applied in emergency material scheduling due to their performance in collecting and transmitting disaster-related data in real time. The urgency of disaster depots can be judged based on the disaster area video, and the scenario coefficient can be evaluated for building a fairness model. This paper presents a scenario-based approach for emergency material scheduling (SEMS) using V2X communications. We propose a SEMS model, with the objectives of minimum time and maximum fairness in the cases of multiple supply depots, disaster depots, commodities and transport modes for logistics management of relief commodities. We design the SEMS algorithm based on the artificial fish-swarm algorithm to obtain an optimized solution. The results demonstrate that the SEMS model can enhance the fairness of relief scheduling, especially for disaster depots with small demands compared to the Gini and enhanced Theil fairness models. Moreover, the acquired vehicle speed via V2X communications updates the SEMS model in real time, which approaches a solution closer to reality.
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container_issue	6, p 707
title_short	Scenario-Based Emergency Material Scheduling Using V2X Communications
url	https://doi.org/10.3390/electronics8060707 https://doaj.org/article/8bc2b038053e43e8bfbedac718ae3194 https://www.mdpi.com/2079-9292/8/6/707 https://doaj.org/toc/2079-9292
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author2	Keqi Chen Jing He Yunna Zhang Jiehan Zhou Yi Han
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up_date	2024-07-03T16:02:37.230Z
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