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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
|---|---|---|---|
| 1 |
Material Type: Artigo
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Stochastic improvement of cyclic railway timetablesKroon, Leo ; Maróti, Gábor ; Helmrich, Mathijn Retel ; Vromans, Michiel ; Dekker, RommertTransportation research. Part B: methodological, 2008-07, Vol.42 (6), p.553-570 [Periódico revisado por pares]Kidlington: Elsevier LtdTexto completo disponível |
| 2 |
Material Type: Artigo
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Mapping evacuation risk on transportation networks using a spatial optimization modelChurch, Richard L. ; Cova, Thomas J.Transportation research. Part C, Emerging technologies, 2000-02, Vol.8 (1), p.321-336 [Periódico revisado por pares]Elsevier India Pvt LtdTexto completo disponível |
| 3 |
Material Type: Artigo
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Enhancing transportation systems via deep learning: A surveyWang, Yuan ; Zhang, Dongxiang ; Liu, Ying ; Dai, Bo ; Lee, Loo HayTransportation research. Part C, Emerging technologies, 2019-02, Vol.99, p.144-163 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
| 4 |
Material Type: Artigo
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Drone-aided routing: A literature reviewMacrina, Giusy ; Di Puglia Pugliese, Luigi ; Guerriero, Francesca ; Laporte, GilbertTransportation research. Part C, Emerging technologies, 2020-11, Vol.120, p.102762, Article 102762 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
| 5 |
Material Type: Artigo
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The multiple flying sidekicks traveling salesman problem: Parcel delivery with multiple dronesMurray, Chase C. ; Raj, RitwikTransportation research. Part C, Emerging technologies, 2020-01, Vol.110, p.368-398 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
| 6 |
Material Type: Artigo
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A physics-informed deep learning paradigm for car-following modelsMo, Zhaobin ; Shi, Rongye ; Di, XuanTransportation research. Part C, Emerging technologies, 2021-09, Vol.130, p.103240, Article 103240 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
| 7 |
Material Type: Artigo
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Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awarenessLi, Guofa ; Yang, Yifan ; Li, Shen ; Qu, Xingda ; Lyu, Nengchao ; Li, Shengbo EbenTransportation research. Part C, Emerging technologies, 2022-01, Vol.134, p.103452, Article 103452 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
| 8 |
Material Type: Artigo
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Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directionsKatrakazas, Christos ; Quddus, Mohammed ; Chen, Wen-Hua ; Deka, LipikaTransportation research. Part C, Emerging technologies, 2015-11, Vol.60, p.416-442 [Periódico revisado por pares]Elsevier India Pvt LtdTexto completo disponível |
| 9 |
Material Type: Artigo
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The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology eraChoi, Tsan-Ming ; Wen, Xin ; Sun, Xuting ; Chung, Sai-HoTransportation research. Part E, Logistics and transportation review, 2019-07, Vol.127, p.178-191 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
| 10 |
Material Type: Artigo
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Yard crane and AGV scheduling in automated container terminal: A multi-robot task allocation frameworkChen, Xuchao ; He, Shiwei ; Zhang, Yongxiang ; Tong, Lu (Carol) ; Shang, Pan ; Zhou, XuesongTransportation research. Part C, Emerging technologies, 2020-05, Vol.114, p.241-271 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
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