AI-Based Transportation Planning and Operation
The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI o...
Gorde:
| Formatua: | Online |
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| Hizkuntza: | ingelesa |
| Argitaratua: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Gaiak: | |
| Sarrera elektronikoa: | ONIX_20210501_9783036503646_268 |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
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| _version_ | 1869514429766303744 |
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| collection | Directory of Open Access Books |
| description | The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI or machine-learning techniques to transportation planning and operation. The topics of the articles encompass traffic surveillance, traffic safety, vehicle emission reduction, congestion management, traffic speed forecasting, and ride sharing strategy. |
| format | Online |
| id | doab-20.500.12854ir-68522 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-685222024-04-11T15:11:23Z AI-Based Transportation Planning and Operation Sohn, Keemin autoencoder deep learning traffic volume vehicle counting CycleGAN bottleneck and gridlock identification gridlock prediction urban road network long short-term memory link embedding traffic speed prediction traffic flow centrality reachability analysis spatio-temporal data artificial neural network context-awareness dynamic pricing reinforcement learning ridesharing supply improvement taxi preventive automated driving system automated vehicle traffic accidents deep neural networks vehicle GPS data driving cycle micro-level vehicle emission estimation link emission factors MOVES black ice CNN prevention thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI or machine-learning techniques to transportation planning and operation. The topics of the articles encompass traffic surveillance, traffic safety, vehicle emission reduction, congestion management, traffic speed forecasting, and ride sharing strategy. 2021-05-01T15:11:54Z 2021-05-01T15:11:54Z 2021 book ONIX_20210501_9783036503646_268 9783036503646 9783036503653 https://directory.doabooks.org/handle/20.500.12854/68522 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3543 https://mdpi.com/books/pdfview/book/3543 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0365-3 10.3390/books978-3-0365-0365-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036503646 9783036503653 124 Basel, Switzerland open access |
| spellingShingle | autoencoder deep learning traffic volume vehicle counting CycleGAN bottleneck and gridlock identification gridlock prediction urban road network long short-term memory link embedding traffic speed prediction traffic flow centrality reachability analysis spatio-temporal data artificial neural network context-awareness dynamic pricing reinforcement learning ridesharing supply improvement taxi preventive automated driving system automated vehicle traffic accidents deep neural networks vehicle GPS data driving cycle micro-level vehicle emission estimation link emission factors MOVES black ice CNN prevention thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology AI-Based Transportation Planning and Operation |
| title | AI-Based Transportation Planning and Operation |
| title_full | AI-Based Transportation Planning and Operation |
| title_fullStr | AI-Based Transportation Planning and Operation |
| title_full_unstemmed | AI-Based Transportation Planning and Operation |
| title_short | AI-Based Transportation Planning and Operation |
| title_sort | ai based transportation planning and operation |
| topic | autoencoder deep learning traffic volume vehicle counting CycleGAN bottleneck and gridlock identification gridlock prediction urban road network long short-term memory link embedding traffic speed prediction traffic flow centrality reachability analysis spatio-temporal data artificial neural network context-awareness dynamic pricing reinforcement learning ridesharing supply improvement taxi preventive automated driving system automated vehicle traffic accidents deep neural networks vehicle GPS data driving cycle micro-level vehicle emission estimation link emission factors MOVES black ice CNN prevention thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | autoencoder deep learning traffic volume vehicle counting CycleGAN bottleneck and gridlock identification gridlock prediction urban road network long short-term memory link embedding traffic speed prediction traffic flow centrality reachability analysis spatio-temporal data artificial neural network context-awareness dynamic pricing reinforcement learning ridesharing supply improvement taxi preventive automated driving system automated vehicle traffic accidents deep neural networks vehicle GPS data driving cycle micro-level vehicle emission estimation link emission factors MOVES black ice CNN prevention thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783036503646_268 |