Intelligent Transport Systems 6th EAI International Conference, INTSYS 2022, Lisbon, Portugal, December 15-16, 2022, Proceedings /
This book constitutes the proceedings of the 6th International Conference on Intelligent Transport Systems, INTSYS 2022, which was held in Lisbon, Portugal, in December 15-16, 2022. With the globalization of trade and transportation and the consequent multi-modal solutions used, additional challenge...
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| 団体著者: | |
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| その他の著者: | , , , |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| 版: | 1st ed. 2023. |
| シリーズ: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
486 |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-031-30855-0 |
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目次:
- Smart City
- Analysis of the Tourists behavior in Lisbon using Data from a Mobile Operator
- Data driven spatiotemporal analysis of e-cargo bike network in Lisbon and its expansion: the Yoob case study
- Analyzing urban mobility based on smartphone data: the Lisbon case study
- Traceability, Optimization and Cooperative Vehicles Platooning
- Development of a hardware in the Loop Ad-Hoc Testbed for Cooperative Vehicles Platooning
- Optimal Control Based Trajectory Planning under Uncertainty
- Traceable distribution of fish products: state of the art of blockchain technology applications to fish supply chains
- Transportation modes and AI
- Train rides through Europe – Which changes do the passengers need?
- Adaptive Dimming of Highway Lights using Recurrent Neural Networks
- Berth Allocation Problem in Export Tidal Bulk Ports with Inventory Control
- Intelligent Transportation and Electric Vehicle
- Bus Journey Time Prediction: A Comparison of Whole Route andSegment Journey Time Predictions using Machine Learning
- Detection of Distracted Driving: a Smartphone-based Approach
- Detection of Invisible/Occluded Vehicles Using Passive RFIDs
- Predictive Energy Management for Battery Electric Vehicles with Hybrid Models
- Vehicle Routing Problem for an Integrated Electric Vehicles and Drones System
- Integrated Passenger–Freight Transportation Model: Metro of Quito (Ecuador) as a Case Study.