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Traffic information and control
"Written by an international team of researchers, this book focuses on traffic information processing and signal control using emerging types of traffic data. It conveys advanced methods to estimate and predict traffic flows at different levels, including macroscopic, mesoscopic and microscopic...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London
The Institution of Engineering and Technology
2020.
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| Colección: | IET transportation series ;
26. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 1. Introduction / Ruimin Li and Zhengbing He
- 2. Traffic analytics with online web data / Yisheng Lv, Yuanyuan Chen, Xueliang Zhao and Hao Lu
- 3. Macroscopic traffic performance indicators based on floating car data: formation, pattern analysis, and deduction / Lu Ma and Jiaqi He
- 4. Short-term travel-time prediction by deep learning: a comparison of different LSTM-DNN models / Yangdong Liu, Lan Wu, Jia Hu, Xiaoguang Yang and Kunpeng Zhang
- 5. Short-term traffic prediction under disruptions using deep learning / Yanjie Dong, Fangce Guo, Aruna Sivakumar and John Polak
- 6. Real-time demand-based traffic diversion / Pengpeng Jiao
- 7. Game theoretic lane change strategy for cooperative vehicles under perfect information / Andres Ladino and Meng Wang
- 8. Cooperative driving and a lane change-free road transportation system / Zhengbing He
- 9. Urban traffic control systems: architecture, methods and development / Fusheng Zhang and Lu Wei
- 10. Algorithms and models for signal coordination / Hao Wang and Changze Li
- 11. Emerging technologies to enhance traffic signal coordination practices / Zong Tian and Aobo Wang
- 13. Multiday evaluation of adaptive traffic signal system based on license plate recognition detector data / Ruimin Li, Fanhang Yang and Shichao Lin
- 14. Conclusion / Zhengbing He and Ruimin Li.