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Integrated ground vehicle and drone routing with simultaneous surveillance coverage for evading intentional disruption
Integrated ground vehicle and drone routing with simultaneous surveillance coverage for evading intentional disruption
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Integrated ground vehicle and drone routing with simultaneous surveillance coverage for evading intentional disruption

Zandieh, Fatemeh ; Farid Ghannadpour, Seyed ; Mahdavi Mazdeh, Mohammad

Transportation research. Part E, Logistics and transportation review, 2023-10, Vol.178, p.103266, Article 103266 [Periódico revisado por pares]

Elsevier Ltd

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2
Visual Search Performance With 3-D Auditory Cues: Effects of Motion, Target Location, and Practice
Visual Search Performance With 3-D Auditory Cues: Effects of Motion, Target Location, and Practice
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Visual Search Performance With 3-D Auditory Cues: Effects of Motion, Target Location, and Practice

McIntire, John P. ; Havig, Paul R. ; Watamaniuk, Scott N. J. ; Gilkey, Robert H.

Human factors, 2010-02, Vol.52 (1), p.41-53 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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3
Impacts of shared automated vehicles on airport access and operations, with opportunities for revenue recovery: Case Study of Austin, Texas
Impacts of shared automated vehicles on airport access and operations, with opportunities for revenue recovery: Case Study of Austin, Texas
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Impacts of shared automated vehicles on airport access and operations, with opportunities for revenue recovery: Case Study of Austin, Texas

Gurumurthy, Krishna Murthy ; Kockelman, Kara M.

Research in transportation economics, 2021-12, Vol.90, p.101128, Article 101128 [Periódico revisado por pares]

Elsevier Ltd

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4
Vehicle routing with dynamic travel times: A queueing approach
Vehicle routing with dynamic travel times: A queueing approach
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Vehicle routing with dynamic travel times: A queueing approach

Van Woensel, T. ; Kerbache, L. ; Peremans, H. ; Vandaele, N.

European journal of operational research, 2008-05, Vol.186 (3), p.990-1007 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
Flex-fuel vehicle adoption and dynamics of ethanol prices: lessons from Brazil
Flex-fuel vehicle adoption and dynamics of ethanol prices: lessons from Brazil
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Flex-fuel vehicle adoption and dynamics of ethanol prices: lessons from Brazil

Du, Xiaodong ; Carriquiry, Miguel A.

Energy policy, 2013-08, Vol.59, p.507-512 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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6
Travel time estimation for urban road networks using low frequency probe vehicle data
Travel time estimation for urban road networks using low frequency probe vehicle data
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Travel time estimation for urban road networks using low frequency probe vehicle data

Jenelius, Erik ; Koutsopoulos, Haris N.

Transportation research. Part B: methodological, 2013-07, Vol.53, p.64-81 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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7
An online reinforcement learning approach to charging and order-dispatching optimization for an e-hailing electric vehicle fleet
An online reinforcement learning approach to charging and order-dispatching optimization for an e-hailing electric vehicle fleet
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An online reinforcement learning approach to charging and order-dispatching optimization for an e-hailing electric vehicle fleet

Yan, Pengyu ; Yu, Kaize ; Chao, Xiuli ; Chen, Zhibin

European journal of operational research, 2023-11, Vol.310 (3), p.1218-1233 [Periódico revisado por pares]

Elsevier B.V

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8
Vehicle routing problems with alternative paths: An application to on-demand transportation
Vehicle routing problems with alternative paths: An application to on-demand transportation
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Vehicle routing problems with alternative paths: An application to on-demand transportation

Garaix, Thierry ; Artigues, Christian ; Feillet, Dominique ; Josselin, Didier

European journal of operational research, 2010-07, Vol.204 (1), p.62-75 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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9
Designing heterogeneous sensor networks for estimating and predicting path travel time dynamics: An information-theoretic modeling approach
Designing heterogeneous sensor networks for estimating and predicting path travel time dynamics: An information-theoretic modeling approach
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Designing heterogeneous sensor networks for estimating and predicting path travel time dynamics: An information-theoretic modeling approach

Xing, Tao ; Zhou, Xuesong ; Taylor, Jeffrey

Transportation research. Part B: methodological, 2013-11, Vol.57, p.66-90 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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10
Estimating dynamic roadway travel times using automatic vehicle identification data for low sampling rates
Estimating dynamic roadway travel times using automatic vehicle identification data for low sampling rates
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Estimating dynamic roadway travel times using automatic vehicle identification data for low sampling rates

Dion, Francois ; Rakha, Hesham

Transportation research. Part B: methodological, 2006-11, Vol.40 (9), p.745-766 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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